Search (79 results, page 1 of 4)

  • × theme_ss:"Citation indexing"
  1. Pichappan, P.: Levels of citation relation between papers (1996) 0.04
    0.04492135 = product of:
      0.15722471 = sum of:
        0.042435654 = weight(_text_:subject in 5725) [ClassicSimilarity], result of:
          0.042435654 = score(doc=5725,freq=2.0), product of:
            0.10738805 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.03002521 = queryNorm
            0.39516178 = fieldWeight in 5725, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.078125 = fieldNorm(doc=5725)
        0.03364573 = weight(_text_:classification in 5725) [ClassicSimilarity], result of:
          0.03364573 = score(doc=5725,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.35186368 = fieldWeight in 5725, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.078125 = fieldNorm(doc=5725)
        0.0474976 = product of:
          0.0949952 = sum of:
            0.0949952 = weight(_text_:schemes in 5725) [ClassicSimilarity], result of:
              0.0949952 = score(doc=5725,freq=2.0), product of:
                0.16067243 = queryWeight, product of:
                  5.3512506 = idf(docFreq=569, maxDocs=44218)
                  0.03002521 = queryNorm
                0.5912352 = fieldWeight in 5725, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.3512506 = idf(docFreq=569, maxDocs=44218)
                  0.078125 = fieldNorm(doc=5725)
          0.5 = coord(1/2)
        0.03364573 = weight(_text_:classification in 5725) [ClassicSimilarity], result of:
          0.03364573 = score(doc=5725,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.35186368 = fieldWeight in 5725, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.078125 = fieldNorm(doc=5725)
      0.2857143 = coord(4/14)
    
    Abstract
    Proposes a typology for measuring the levels of citation relations netween papers. Introduces a new family of citation based classification schemes and outlines the typology that can be seen as being analogous to Ranganathan's APUPA pattern in subject mapping
  2. Rajan, T.N.; Guha, B.; Sayanarayana, R.: Associate relationship of concepts as seen through citations and citation index (1982) 0.04
    0.035382897 = product of:
      0.16512018 = sum of:
        0.05092278 = weight(_text_:subject in 58) [ClassicSimilarity], result of:
          0.05092278 = score(doc=58,freq=2.0), product of:
            0.10738805 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.03002521 = queryNorm
            0.4741941 = fieldWeight in 58, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.09375 = fieldNorm(doc=58)
        0.057098698 = weight(_text_:classification in 58) [ClassicSimilarity], result of:
          0.057098698 = score(doc=58,freq=4.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.5971325 = fieldWeight in 58, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.09375 = fieldNorm(doc=58)
        0.057098698 = weight(_text_:classification in 58) [ClassicSimilarity], result of:
          0.057098698 = score(doc=58,freq=4.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.5971325 = fieldWeight in 58, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.09375 = fieldNorm(doc=58)
      0.21428572 = coord(3/14)
    
    Source
    Universal classification II: subject analysis and ordering systems. Proc. of the 4th Int. Study Conf. on Classification research, Augsburg, 28.6.-2.7.1982. Ed.: I. Dahlberg
  3. Malanga, G.: Classifying and screening journal literature with citation data (1982) 0.03
    0.029485747 = product of:
      0.13760015 = sum of:
        0.042435654 = weight(_text_:subject in 553) [ClassicSimilarity], result of:
          0.042435654 = score(doc=553,freq=2.0), product of:
            0.10738805 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.03002521 = queryNorm
            0.39516178 = fieldWeight in 553, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.078125 = fieldNorm(doc=553)
        0.04758225 = weight(_text_:classification in 553) [ClassicSimilarity], result of:
          0.04758225 = score(doc=553,freq=4.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.49761042 = fieldWeight in 553, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.078125 = fieldNorm(doc=553)
        0.04758225 = weight(_text_:classification in 553) [ClassicSimilarity], result of:
          0.04758225 = score(doc=553,freq=4.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.49761042 = fieldWeight in 553, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.078125 = fieldNorm(doc=553)
      0.21428572 = coord(3/14)
    
    Source
    Universal classification I: subject analysis and ordering systems. Proc. of the 4th Int. Study Conf. on Classification Research, Augsburg, 28.6.-2.7.1982. Ed.: I. Dahlberg
  4. Lai, K.-K.; Wu, S.-J.: Using the patent co-citation approach to establish a new patent classification system (2005) 0.02
    0.02066828 = product of:
      0.09645197 = sum of:
        0.021217827 = weight(_text_:subject in 1013) [ClassicSimilarity], result of:
          0.021217827 = score(doc=1013,freq=2.0), product of:
            0.10738805 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.03002521 = queryNorm
            0.19758089 = fieldWeight in 1013, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1013)
        0.03761707 = weight(_text_:classification in 1013) [ClassicSimilarity], result of:
          0.03761707 = score(doc=1013,freq=10.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.39339557 = fieldWeight in 1013, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1013)
        0.03761707 = weight(_text_:classification in 1013) [ClassicSimilarity], result of:
          0.03761707 = score(doc=1013,freq=10.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.39339557 = fieldWeight in 1013, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1013)
      0.21428572 = coord(3/14)
    
    Abstract
    The paper proposes a new approach to create a patent classification system to replace the IPC or UPC system for conducting patent analysis and management. The new approach is based on co-citation analysis of bibliometrics. The traditional approach for management of patents, which is based on either the IPC or UPC, is too general to meet the needs of specific industries. In addition, some patents are placed in incorrect categories, making it difficult for enterprises to carry out R&D planning, technology positioning, patent strategy-making and technology forecasting. Therefore, it is essential to develop a patent classification system that is adaptive to the characteristics of a specific industry. The analysis of this approach is divided into three phases. Phase I selects appropriate databases to conduct patent searches according to the subject and objective of this study and then select basic patents. Phase II uses the co-cited frequency of the basic patent pairs to assess their similarity. Phase III uses factor analysis to establish a classification system and assess the efficiency of the proposed approach. The main contribution of this approach is to develop a patent classification system based on patent similarities to assist patent manager in understanding the basic patents for a specific industry, the relationships among categories of technologies and the evolution of a technology category.
  5. Leydesdorff, L.: Clusters and maps of science journals based on bi-connected graphs in Journal Citation Reports (2004) 0.02
    0.017691448 = product of:
      0.08256009 = sum of:
        0.02546139 = weight(_text_:subject in 4427) [ClassicSimilarity], result of:
          0.02546139 = score(doc=4427,freq=2.0), product of:
            0.10738805 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.03002521 = queryNorm
            0.23709705 = fieldWeight in 4427, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.046875 = fieldNorm(doc=4427)
        0.028549349 = weight(_text_:classification in 4427) [ClassicSimilarity], result of:
          0.028549349 = score(doc=4427,freq=4.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.29856625 = fieldWeight in 4427, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.046875 = fieldNorm(doc=4427)
        0.028549349 = weight(_text_:classification in 4427) [ClassicSimilarity], result of:
          0.028549349 = score(doc=4427,freq=4.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.29856625 = fieldWeight in 4427, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.046875 = fieldNorm(doc=4427)
      0.21428572 = coord(3/14)
    
    Abstract
    The aggregated journal-journal citation matrix derived from Journal Citation Reports 2001 can be decomposed into a unique subject classification using the graph-analytical algorithm of bi-connected components. This technique was recently incorporated in software tools for social network analysis. The matrix can be assessed in terms of its decomposability using articulation points which indicate overlap between the components. The articulation points of this set did not exhibit a next-order network of "general science" journals. However, the clusters differ in size and in terms of the internal density of their relations. A full classification of the journals is provided in the Appendix. The clusters can also be extracted and mapped for the visualization.
  6. Peritz, B.C.: ¬A classification of citation roles for the social sciences and related fields (1983) 0.01
    0.013458293 = product of:
      0.09420805 = sum of:
        0.047104023 = weight(_text_:classification in 3073) [ClassicSimilarity], result of:
          0.047104023 = score(doc=3073,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.49260917 = fieldWeight in 3073, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.109375 = fieldNorm(doc=3073)
        0.047104023 = weight(_text_:classification in 3073) [ClassicSimilarity], result of:
          0.047104023 = score(doc=3073,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.49260917 = fieldWeight in 3073, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.109375 = fieldNorm(doc=3073)
      0.14285715 = coord(2/14)
    
  7. Kwok, K.L.: ¬The use of titles and cited titles as document representations for automatic classification (1975) 0.01
    0.013458293 = product of:
      0.09420805 = sum of:
        0.047104023 = weight(_text_:classification in 4347) [ClassicSimilarity], result of:
          0.047104023 = score(doc=4347,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.49260917 = fieldWeight in 4347, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.109375 = fieldNorm(doc=4347)
        0.047104023 = weight(_text_:classification in 4347) [ClassicSimilarity], result of:
          0.047104023 = score(doc=4347,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.49260917 = fieldWeight in 4347, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.109375 = fieldNorm(doc=4347)
      0.14285715 = coord(2/14)
    
  8. Thelwall, M.; Kousha, K.; Stuart, E.; Makita, M.; Abdoli, M.; Wilson, P.; Levitt, J.: In which fields are citations indicators of research quality? (2023) 0.01
    0.012298829 = product of:
      0.057394534 = sum of:
        0.016822865 = weight(_text_:classification in 1033) [ClassicSimilarity], result of:
          0.016822865 = score(doc=1033,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.17593184 = fieldWeight in 1033, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1033)
        0.0237488 = product of:
          0.0474976 = sum of:
            0.0474976 = weight(_text_:schemes in 1033) [ClassicSimilarity], result of:
              0.0474976 = score(doc=1033,freq=2.0), product of:
                0.16067243 = queryWeight, product of:
                  5.3512506 = idf(docFreq=569, maxDocs=44218)
                  0.03002521 = queryNorm
                0.2956176 = fieldWeight in 1033, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.3512506 = idf(docFreq=569, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1033)
          0.5 = coord(1/2)
        0.016822865 = weight(_text_:classification in 1033) [ClassicSimilarity], result of:
          0.016822865 = score(doc=1033,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.17593184 = fieldWeight in 1033, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1033)
      0.21428572 = coord(3/14)
    
    Abstract
    Citation counts are widely used as indicators of research quality to support or replace human peer review and for lists of top cited papers, researchers, and institutions. Nevertheless, the relationship between citations and research quality is poorly evidenced. We report the first large-scale science-wide academic evaluation of the relationship between research quality and citations (field normalized citation counts), correlating them for 87,739 journal articles in 34 field-based UK Units of Assessment (UoA). The two correlate positively in all academic fields, from very weak (0.1) to strong (0.5), reflecting broadly linear relationships in all fields. We give the first evidence that the correlations are positive even across the arts and humanities. The patterns are similar for the field classification schemes of Scopus and Dimensions.ai, although varying for some individual subjects and therefore more uncertain for these. We also show for the first time that no field has a citation threshold beyond which all articles are excellent quality, so lists of top cited articles are not pure collections of excellence, and neither is any top citation percentile indicator. Thus, while appropriately field normalized citations associate positively with research quality in all fields, they never perfectly reflect it, even at high values.
  9. Marion, L.S.; McCain, K.W.: Contrasting views of software engineering journals : author cocitation choices and indexer vocabulary assignments (2001) 0.01
    0.0121645145 = product of:
      0.0851516 = sum of:
        0.060013074 = weight(_text_:subject in 5767) [ClassicSimilarity], result of:
          0.060013074 = score(doc=5767,freq=16.0), product of:
            0.10738805 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.03002521 = queryNorm
            0.55884314 = fieldWeight in 5767, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5767)
        0.02513852 = weight(_text_:bibliographic in 5767) [ClassicSimilarity], result of:
          0.02513852 = score(doc=5767,freq=2.0), product of:
            0.11688946 = queryWeight, product of:
              3.893044 = idf(docFreq=2449, maxDocs=44218)
              0.03002521 = queryNorm
            0.21506234 = fieldWeight in 5767, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.893044 = idf(docFreq=2449, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5767)
      0.14285715 = coord(2/14)
    
    Abstract
    We explore the intellectual subject structure and research themes in software engineering through the identification and analysis of a core journal literature. We examine this literature via two expert perspectives: that of the author, who identified significant work by citing it (journal cocitation analysis), and that of the professional indexer, who tags published work with subject terms to facilitate retrieval from a bibliographic database (subject profile analysis). The data sources are SCISEARCH (the on-line version of Science Citation Index), and INSPEC (a database covering software engineering, computer science, and information systems). We use data visualization tools (cluster analysis, multidimensional scaling, and PFNets) to show the "intellectual maps" of software engineering. Cocitation and subject profile analyses demonstrate that software engineering is a distinct interdisciplinary field, valuing practical and applied aspects, and spanning a subject continuum from "programming-in-the-smalI" to "programming-in-the-large." This continuum mirrors the software development life cycle by taking the operating system or major application from initial programming through project management, implementation, and maintenance. Object orientation is an integral but distinct subject area in software engineering. Key differences are the importance of management and programming: (1) cocitation analysis emphasizes project management and systems development; (2) programming techniques/languages are more influential in subject profiles; (3) cocitation profiles place object-oriented journals separately and centrally while the subject profile analysis locates these journals with the programming/languages group
  10. Gorraiz, J.; Purnell, P.J.; Glänzel, W.: Opportunities for and limitations of the Book Citation Index (2013) 0.01
    0.011756477 = product of:
      0.054863557 = sum of:
        0.021217827 = weight(_text_:subject in 966) [ClassicSimilarity], result of:
          0.021217827 = score(doc=966,freq=2.0), product of:
            0.10738805 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.03002521 = queryNorm
            0.19758089 = fieldWeight in 966, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0390625 = fieldNorm(doc=966)
        0.016822865 = weight(_text_:classification in 966) [ClassicSimilarity], result of:
          0.016822865 = score(doc=966,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.17593184 = fieldWeight in 966, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=966)
        0.016822865 = weight(_text_:classification in 966) [ClassicSimilarity], result of:
          0.016822865 = score(doc=966,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.17593184 = fieldWeight in 966, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=966)
      0.21428572 = coord(3/14)
    
    Abstract
    This article offers important background information about a new product, the Book Citation Index (BKCI), launched in 2011 by Thomson Reuters. Information is illustrated by some new facts concerning The BKCI's use in bibliometrics, coverage analysis, and a series of idiosyncrasies worthy of further discussion. The BKCI was launched primarily to assist researchers identify useful and relevant research that was previously invisible to them, owing to the lack of significant book content in citation indexes such as the Web of Science. So far, the content of 33,000 books has been added to the desktops of the global research community, the majority in the arts, humanities, and social sciences fields. Initial analyses of the data from The BKCI have indicated that The BKCI, in its current version, should not be used for bibliometric or evaluative purposes. The most significant limitations to this potential application are the high share of publications without address information, the inflation of publication counts, the lack of cumulative citation counts from different hierarchical levels, and inconsistency in citation counts between the cited reference search and the book citation index. However, The BKCI is a first step toward creating a reliable and necessary citation data source for monographs - a very challenging issue, because, unlike journals and conference proceedings, books have specific requirements, and several problems emerge not only in the context of subject classification, but also in their role as cited publications and in citing publications.
  11. Safder, I.; Ali, M.; Aljohani, N.R.; Nawaz, R.; Hassan, S.-U.: Neural machine translation for in-text citation classification (2023) 0.01
    0.010747734 = product of:
      0.07523414 = sum of:
        0.03761707 = weight(_text_:classification in 1053) [ClassicSimilarity], result of:
          0.03761707 = score(doc=1053,freq=10.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.39339557 = fieldWeight in 1053, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1053)
        0.03761707 = weight(_text_:classification in 1053) [ClassicSimilarity], result of:
          0.03761707 = score(doc=1053,freq=10.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.39339557 = fieldWeight in 1053, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1053)
      0.14285715 = coord(2/14)
    
    Abstract
    The quality of scientific publications can be measured by quantitative indices such as the h-index, Source Normalized Impact per Paper, or g-index. However, these measures lack to explain the function or reasons for citations and the context of citations from citing publication to cited publication. We argue that citation context may be considered while calculating the impact of research work. However, mining citation context from unstructured full-text publications is a challenging task. In this paper, we compiled a data set comprising 9,518 citations context. We developed a deep learning-based architecture for citation context classification. Unlike feature-based state-of-the-art models, our proposed focal-loss and class-weight-aware BiLSTM model with pretrained GloVe embedding vectors use citation context as input to outperform them in multiclass citation context classification tasks. Our model improves on the baseline state-of-the-art by achieving an F1 score of 0.80 with an accuracy of 0.81 for citation context classification. Moreover, we delve into the effects of using different word embeddings on the performance of the classification model and draw a comparison between fastText, GloVe, and spaCy pretrained word embeddings.
  12. Rousseau, R.; Zuccala, A.: ¬A classification of author co-citations : definitions and search strategies (2004) 0.01
    0.00832516 = product of:
      0.058276117 = sum of:
        0.029138058 = weight(_text_:classification in 2266) [ClassicSimilarity], result of:
          0.029138058 = score(doc=2266,freq=6.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.3047229 = fieldWeight in 2266, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2266)
        0.029138058 = weight(_text_:classification in 2266) [ClassicSimilarity], result of:
          0.029138058 = score(doc=2266,freq=6.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.3047229 = fieldWeight in 2266, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2266)
      0.14285715 = coord(2/14)
    
    Abstract
    The term author co-citation is defined and classified according to four distinct forms: the pure first-author co-citation, the pure author co-citation, the general author co-citation, and the special co-authorlco-citation. Each form can be used to obtain one count in an author co-citation study, based an a binary counting rule, which either recognizes the co-citedness of two authors in a given reference list (1) or does not (0). Most studies using author co-citations have relied solely an first-author cocitation counts as evidence of an author's oeuvre or body of work contributed to a research field. In this article, we argue that an author's contribution to a selected field of study should not be limited, but should be based an his/her complete list of publications, regardless of author ranking. We discuss the implications associated with using each co-citation form and show where simple first-author co-citations fit within our classification scheme. Examples are given to substantiate each author co-citation form defined in our classification, including a set of sample Dialog(TM) searches using references extracted from the SciSearch database.
  13. Araújo, P.C. de; Gutierres Castanha, R.C.; Hjoerland, B.: Citation indexing and indexes (2021) 0.01
    0.007946802 = product of:
      0.055627614 = sum of:
        0.02546139 = weight(_text_:subject in 444) [ClassicSimilarity], result of:
          0.02546139 = score(doc=444,freq=2.0), product of:
            0.10738805 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.03002521 = queryNorm
            0.23709705 = fieldWeight in 444, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.046875 = fieldNorm(doc=444)
        0.030166224 = weight(_text_:bibliographic in 444) [ClassicSimilarity], result of:
          0.030166224 = score(doc=444,freq=2.0), product of:
            0.11688946 = queryWeight, product of:
              3.893044 = idf(docFreq=2449, maxDocs=44218)
              0.03002521 = queryNorm
            0.2580748 = fieldWeight in 444, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.893044 = idf(docFreq=2449, maxDocs=44218)
              0.046875 = fieldNorm(doc=444)
      0.14285715 = coord(2/14)
    
    Abstract
    A citation index is a bibliographic database that provides citation links between documents. The first modern citation index was suggested by the researcher Eugene Garfield in 1955 and created by him in 1964, and it represents an important innovation to knowledge organization and information retrieval. This article describes citation indexes in general, considering the modern citation indexes, including Web of Science, Scopus, Google Scholar, Microsoft Academic, Crossref, Dimensions and some special citation indexes and predecessors to the modern citation index like Shepard's Citations. We present comparative studies of the major ones and survey theoretical problems related to the role of citation indexes as subject access points (SAP), recognizing the implications to knowledge organization and information retrieval. Finally, studies on citation behavior are presented and the influence of citation indexes on knowledge organization, information retrieval and the scientific information ecosystem is recognized.
  14. Garfield, E.: Citation indexes for science (1985) 0.01
    0.007073014 = product of:
      0.049511097 = sum of:
        0.029400283 = weight(_text_:subject in 3632) [ClassicSimilarity], result of:
          0.029400283 = score(doc=3632,freq=6.0), product of:
            0.10738805 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.03002521 = queryNorm
            0.2737761 = fieldWeight in 3632, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.03125 = fieldNorm(doc=3632)
        0.020110816 = weight(_text_:bibliographic in 3632) [ClassicSimilarity], result of:
          0.020110816 = score(doc=3632,freq=2.0), product of:
            0.11688946 = queryWeight, product of:
              3.893044 = idf(docFreq=2449, maxDocs=44218)
              0.03002521 = queryNorm
            0.17204987 = fieldWeight in 3632, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.893044 = idf(docFreq=2449, maxDocs=44218)
              0.03125 = fieldNorm(doc=3632)
      0.14285715 = coord(2/14)
    
    Abstract
    Indexes in general seek to provide a "key" to a body of literature intending to help the user in identifying, verifying, and/or locating individual or related items. The most common devices for collocation in indexes are authors' names and subjects. A different approach to collocating related items in an index is provided by a method called "citation indexing." Citation indexes attempt to link items through citations or references, in other works, by bringing together items cited in a particular work and the works citing a particular item. Citation indexing is based an the concept that there is a significant intellectual link between a document and each bibliographic item cited in it and that this link is useful to the scholar because an author's references to earlier writings identify relevant information to the subject of his current work. One of the major differences between the citation index and the traditional subject index is that the former, while listing current literature, also provides a retrospec tive view of past literature. While each issue of a traditional index is normally concerned only with the current literature, the citation index brings back retrospective literature in the form of cited references, thereby linking current scholarly works with earlier works. The advantages of the citation index have been considered to be its value as a tool for tracing the history of ideas or discoveries, for associating ideas between current and past work, and for evaluating works of individual authors or library collections. The concept of citation indexing is not new. It has been applied to legal literature since 1873 in a legal reference tool called Shepard's Citations. In the 1950s Eugene Garfield, a documentation consultant and founder and President of the Institute for Scientific Information (Philadelphia), developed the technique of citation indexing for scientific literature. This new application was facilitated by the availability of computer technology, resulting in a series of services: Science Citation Index (1955- ), Social Sciences Citation Index (1966- ), and the Arts & Humanities Index (1976- ). All three appear in printed versions and as machine-readable databases. In the following essay, the first in a series of articles and books elucidating the citation indexing system, Garfield traces the origin and beginning of this idea, its advantages, and the methods of preparing such indexes.
    Source
    Theory of subject analysis: a sourcebook. Ed.: L.M. Chan, et al
  15. Thelwall, M.; Harries, G.: ¬The connection between the research of a university and counts of links to its Web pages : an investigation based upon a classification of the relationships of pages to the research of the host university (2003) 0.01
    0.0067291465 = product of:
      0.047104023 = sum of:
        0.023552012 = weight(_text_:classification in 1676) [ClassicSimilarity], result of:
          0.023552012 = score(doc=1676,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.24630459 = fieldWeight in 1676, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1676)
        0.023552012 = weight(_text_:classification in 1676) [ClassicSimilarity], result of:
          0.023552012 = score(doc=1676,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.24630459 = fieldWeight in 1676, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1676)
      0.14285715 = coord(2/14)
    
  16. Moed, H.F.; Leeuwen, T.N. van; Reedijk, J.: ¬A new classification system to describe the ageing of scientific journals and their impact factors (1998) 0.01
    0.006660128 = product of:
      0.046620894 = sum of:
        0.023310447 = weight(_text_:classification in 4719) [ClassicSimilarity], result of:
          0.023310447 = score(doc=4719,freq=6.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.24377833 = fieldWeight in 4719, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03125 = fieldNorm(doc=4719)
        0.023310447 = weight(_text_:classification in 4719) [ClassicSimilarity], result of:
          0.023310447 = score(doc=4719,freq=6.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.24377833 = fieldWeight in 4719, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03125 = fieldNorm(doc=4719)
      0.14285715 = coord(2/14)
    
    Abstract
    During the past decades, journal impact data obtained from the Journal Citation Reports (JCR) have gained relevance in library management, research management and research evaluation. Hence, both information scientists and bibliometricians share the responsibility towards the users of the JCR to analyse the reliability and validity of its measures thoroughly, to indicate pitfalls and to suggest possible improvements. In this article, ageing patterns are examined in 'formal' use or impact of all scientific journals processed for the Science Citation Index (SCI) during 1981-1995. A new classification system of journals in terms of their ageing characteristics is introduced. This system has been applied to as many as 3,098 journals covered by the Science Citation Index. Following an earlier suggestion by Glnzel and Schoepflin, a maturing and a decline phase are distinguished. From an analysis across all subfields it has been concluded that ageing characteristics are primarily specific to the individual journal rather than to the subfield, while the distribution of journals in terms of slowly or rapidly maturing or declining types is specific to the subfield. It is shown that the cited half life (CHL), printed in the JCR, is an inappropriate measure of decline of journal impact. Following earlier work by Line and others, a more adequate parameter of decline is calculated taking into account the size of annual volumes during a range of fifteen years. For 76 per cent of SCI journals the relative difference between this new parameter and the ISI CHL exceeds 5 per cent. The current JCR journal impact factor is proven to be biased towards journals revealing a rapid maturing and decline in impact. Therefore, a longer term impact factor is proposed, as well as a normalised impact statistic, taking into account citation characteristics of the research subfield covered by a journal and the type of documents published in it. When these new measures are combined with the proposed ageing classification system, they provide a significantly improved picture of a journal's impact to that obtained from the JCR.
  17. White, H.D.: Citation analysis : history (2009) 0.01
    0.0066223354 = product of:
      0.046356346 = sum of:
        0.021217827 = weight(_text_:subject in 3763) [ClassicSimilarity], result of:
          0.021217827 = score(doc=3763,freq=2.0), product of:
            0.10738805 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.03002521 = queryNorm
            0.19758089 = fieldWeight in 3763, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3763)
        0.02513852 = weight(_text_:bibliographic in 3763) [ClassicSimilarity], result of:
          0.02513852 = score(doc=3763,freq=2.0), product of:
            0.11688946 = queryWeight, product of:
              3.893044 = idf(docFreq=2449, maxDocs=44218)
              0.03002521 = queryNorm
            0.21506234 = fieldWeight in 3763, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.893044 = idf(docFreq=2449, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3763)
      0.14285715 = coord(2/14)
    
    Abstract
    References from publications are at the same time citations to other publications. This entry introduces some of the practical uses of citation data in science and scholarship. At the individual level citations identify and permit the retrieval of specific editions of works, while also suggesting their subject matter, authority, and age. Through citation indexes, retrievals may include not only the earlier items referred to by a given work, but also the later items that cite that given work in turn. Some technical notes on retrieval are included here. Counts of citations received over time, and measures derived from them, reveal the varying impacts of works, authors, journals, organizations, and countries. This has obvious implications for the evaluation of, e.g., library collections, academics, research teams, and science policies. When treated as linkages between pairs of publications, references and citations reveal intellectual ties. Several kinds of links have been defined, such as cocitation, bibliographic coupling, and intercitation. In the aggregate, these links form networks that compactly suggest the intellectual histories of research specialties and disciplines, especially when the networks are visualized through mapping software. Citation analysis is of course not without critics, who have long pointed out imperfections in the data or in analytical techniques. However, the criticisms have generally been met by strong counterarguments from proponents.
  18. Moed, H.F.; Bruin, R.E.D.; Leeuwen, T.N.V.: New bibliometric tools for the assessment of national research performance : database description, overview of indicators and first applications (1995) 0.01
    0.00576784 = product of:
      0.04037488 = sum of:
        0.02018744 = weight(_text_:classification in 3376) [ClassicSimilarity], result of:
          0.02018744 = score(doc=3376,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.21111822 = fieldWeight in 3376, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.046875 = fieldNorm(doc=3376)
        0.02018744 = weight(_text_:classification in 3376) [ClassicSimilarity], result of:
          0.02018744 = score(doc=3376,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.21111822 = fieldWeight in 3376, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.046875 = fieldNorm(doc=3376)
      0.14285715 = coord(2/14)
    
    Abstract
    Gives an outline of a new bibliometric database based upon all articles published by authors from the Netherlands and processed during 1980-1993 by ISI for the SCI, SSCI and AHCI. Describes various types of information added to the database: data on articles citing the Dutch publications; detailed citation data on ISI journals and subfields; and a classification system of the main publishing organizations. Also gives an overview of the types of bibliometric indicators constructed. and discusses their relationship to indicators developed by other researchers in the field. Gives 2 applications to illustrate the potentials of the database and of the bibliometric indicators derived from it: one that represents a synthesis of 'classical' macro indicator studies on the one hand and bibliometric analyses of research groups on the other; and a second that gives for the first time a detailed analysis of a country's publications per institutional sector
  19. Leydesdorff, L.: Can scientific journals be classified in terms of aggregated journal-journal citation relations using the Journal Citation Reports? (2006) 0.01
    0.00576784 = product of:
      0.04037488 = sum of:
        0.02018744 = weight(_text_:classification in 5046) [ClassicSimilarity], result of:
          0.02018744 = score(doc=5046,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.21111822 = fieldWeight in 5046, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.046875 = fieldNorm(doc=5046)
        0.02018744 = weight(_text_:classification in 5046) [ClassicSimilarity], result of:
          0.02018744 = score(doc=5046,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.21111822 = fieldWeight in 5046, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.046875 = fieldNorm(doc=5046)
      0.14285715 = coord(2/14)
    
    Abstract
    The aggregated citation relations among journals included in the Science Citation Index provide us with a huge matrix, which can be analyzed in various ways. By using principal component analysis or factor analysis, the factor scores can be employed as indicators of the position of the cited journals in the citing dimensions of the database. Unrotated factor scores are exact, and the extraction of principal components can be made stepwise because the principal components are independent. Rotation may be needed for the designation, but in the rotated solution a model is assumed. This assumption can be legitimated on pragmatic or theoretical grounds. Because the resulting outcomes remain sensitive to the assumptions in the model, an unambiguous classification is no longer possible in this case. However, the factor-analytic solutions allow us to test classifications against the structures contained in the database; in this article the process will be demonstrated for the delineation of a set of biochemistry journals.
  20. Hu, X.; Rousseau, R.: Do citation chimeras exist? : The case of under-cited influential articles suffering delayed recognition (2019) 0.01
    0.00576784 = product of:
      0.04037488 = sum of:
        0.02018744 = weight(_text_:classification in 5217) [ClassicSimilarity], result of:
          0.02018744 = score(doc=5217,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.21111822 = fieldWeight in 5217, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.046875 = fieldNorm(doc=5217)
        0.02018744 = weight(_text_:classification in 5217) [ClassicSimilarity], result of:
          0.02018744 = score(doc=5217,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.21111822 = fieldWeight in 5217, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.046875 = fieldNorm(doc=5217)
      0.14285715 = coord(2/14)
    
    Abstract
    In this study we investigate if articles suffering delayed recognition can at the same time be under-cited influential articles. Theoretically these two types of articles are independent, in the sense that suffering delayed recognition depends on the number and time distribution of received citations, while being an under-cited influential article depends only partially on the number of received (first generation) citations, and much more on second and third citation generations. Among 49 articles suffering delayed recognition we found 13 that are also under-cited influential. Based on a thorough investigation of these special cases we found that so-called authoritative citers play an important role in uniting the two different document types into a special citation chimera. Our investigation contributes to the classification of publications.

Languages

  • e 72
  • d 5
  • chi 2
  • More… Less…

Types

  • a 78
  • el 4
  • m 1
  • More… Less…

Classifications