Search (240 results, page 1 of 12)

  • × theme_ss:"Citation indexing"
  1. Marion, L.S.; McCain, K.W.: Contrasting views of software engineering journals : author cocitation choices and indexer vocabulary assignments (2001) 0.04 
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    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
    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.4, S.297-308
  2. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.03 
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    Date
    22. 7.2006 15:22:28
  3. Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006) 0.03 
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    Abstract
    Research patterns could enhance understanding of the Information Systems (IS) field. Citation analysis is the methodology commonly used to determine such research patterns. In this study, the citation methodology is applied to one of the top-ranked Information Systems conferences - International Conference on Information Systems (ICIS). Information is extracted from papers in the proceedings of ICIS 2000 to 2002. A total of 145 base articles and 4,226 citations are used. Research patterns are obtained using total citations, citations per journal or conference, and overlapping citations. We then provide the citation ranking of journals and conferences. We also examine the difference between the citation ranking in this study and the ranking of IS journals and IS conferences in other studies. Based on the comparison, we confirm that IS research is a multidisciplinary research area. We also identify the most cited papers and authors in the IS research area, and the organizations most active in producing papers in the top-rated IS conference. We discuss the findings and implications of the study.
    Date
    3. 1.2007 17:22:03
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.9, S.1263-1274
  4. Ding, Y.; Zhang, G.; Chambers, T.; Song, M.; Wang, X.; Zhai, C.: Content-based citation analysis : the next generation of citation analysis (2014) 0.03 
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    Abstract
    Traditional citation analysis has been widely applied to detect patterns of scientific collaboration, map the landscapes of scholarly disciplines, assess the impact of research outputs, and observe knowledge transfer across domains. It is, however, limited, as it assumes all citations are of similar value and weights each equally. Content-based citation analysis (CCA) addresses a citation's value by interpreting each one based on its context at both the syntactic and semantic levels. This paper provides a comprehensive overview of CAA research in terms of its theoretical foundations, methodical approaches, and example applications. In addition, we highlight how increased computational capabilities and publicly available full-text resources have opened this area of research to vast possibilities, which enable deeper citation analysis, more accurate citation prediction, and increased knowledge discovery.
    Date
    22. 8.2014 16:52:04
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1820-1833
  5. Aström, F.: Changes in the LIS research front : time-sliced cocitation analyses of LIS journal articles, 1990-2004 (2007) 0.03 
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    Abstract
    Based on articles published in 1990-2004 in 21 library and information science (LIS) journals, a set of cocitation analyses was performed to study changes in research fronts over the last 15 years, where LIS is at now, and to discuss where it is heading. To study research fronts, here defined as current and influential cocited articles, a citations among documents methodology was applied; and to study changes, the analyses were time-sliced into three 5-year periods. The results show a stable structure of two distinct research fields: informetrics and information seeking and retrieval (ISR). However, experimental retrieval research and user oriented research have merged into one ISR field; and IR and informetrics also show signs of coming closer together, sharing research interests and methodologies, making informetrics research more visible in mainstream LIS research. Furthermore, the focus on the Internet, both in ISR research and in informetrics-where webometrics quickly has become a dominating research area-is an important change. The future is discussed in terms of LIS dependency on technology, how integration of research areas as well as technical systems can be expected to continue to characterize LIS research, and how webometrics will continue to develop and find applications.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.7, S.947-957
  6. Tsay, M.-Y.: From Science Citation Index to Journal Citation Reports, amd criteria for journals evaluation (1997) 0.02 
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    Abstract
    Investigates the characteristics of Journal Citation Reports (JCR) through the study of the Science Citation Index (SCI). Other criteria for evaluating a journal are also discussed. The compilation process of SCI data, and the characteristics, applications and limitations of SCI are studied. A detailed description of JCR is provided including: journal ranking listing, citing journal listing, cited journal listing, subject category listing, source data, impact factor, immediacy index, cited half-life and citing half-life. The applications and limitations of JCR are also explored. In addition to the criteria listed in JCR, the size, circulation and influence of journals are also considered significant criteria fir evaluation purposes
    Source
    Journal of information; communication; and library science. 4(1997) no.2, S.27-41
  7. Kostoff, R.N.; Rio, J.A. del; Humenik, J.A.; Garcia, E.O.; Ramirez, A.M.: Citation mining : integrating text mining and bibliometrics for research user profiling (2001) 0.02 
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    Abstract
    Identifying the users and impact of research is important for research performers, managers, evaluators, and sponsors. It is important to know whether the audience reached is the audience desired. It is useful to understand the technical characteristics of the other research/development/applications impacted by the originating research, and to understand other characteristics (names, organizations, countries) of the users impacted by the research. Because of the many indirect pathways through which fundamental research can impact applications, identifying the user audience and the research impacts can be very complex and time consuming. The purpose of this article is to describe a novel approach for identifying the pathways through which research can impact other research, technology development, and applications, and to identify the technical and infrastructure characteristics of the user population. A novel literature-based approach was developed to identify the user community and its characteristics. The research performed is characterized by one or more articles accessed by the Science Citation Index (SCI) database, beccause the SCI's citation-based structure enables the capability to perform citation studies easily. The user community is characterized by the articles in the SCI that cite the original research articles, and that cite the succeeding generations of these articles as well. Text mining is performed on the citing articles to identify the technical areas impacted by the research, the relationships among these technical areas, and relationships among the technical areas and the infrastructure (authors, journals, organizations). A key component of text mining, concept clustering, was used to provide both a taxonomy of the citing articles' technical themes and further technical insights based on theme relationships arising from the grouping process. Bibliometrics is performed on the citing articles to profile the user characteristics. Citation Mining, this integration of citation bibliometrics and text mining, is applied to the 307 first generation citing articles of a fundamental physics article on the dynamics of vibrating sand-piles. Most of the 307 citing articles were basic research whose main themes were aligned with those of the cited article. However, about 20% of the citing articles were research or development in other disciplines, or development within the same discipline. The text mining alone identified the intradiscipline applications and extradiscipline impacts and applications; this was confirmed by detailed reading of the 307 abstracts. The combination of citation bibliometrics and text mining provides a synergy unavailable with each approach taken independently. Furthermore, text mining is a REQUIREMENT for a feasible comprehensive research impact determination. The integrated multigeneration citation analysis required for broad research impact determination of highly cited articles will produce thousands or tens or hundreds of thousands of citing article Abstracts.
    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.13, S.1148-1156
  8. 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) 0.02 
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    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
  9. Osareh, F.: Bibliometrics, citation analysis and co-citation analysis : a review of literature I (1996) 0.02 
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    Abstract
    Part 1 of a 2 part article reviewing the technique of bibliometrics and one of its most widely used methods, citation analysis. Traces the history and development of bibliometrics, including its definition, scope, role in scholarly communication and applications. Treats citation analysis similarly with particular reference to bibliographic coupling and cocitation coupling
  10. Chen, C.; Paul, R.J.; O'Keefe, B.: Fitting the Jigsaw of citation : information visualization in domain analysis (2001) 0.02 
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    Abstract
    Domain visualization is one of the new research fronts resulted from the proliferation of information visualization, aiming to reveal the essence of a knowledge domain. Information visualization plays an integral role in modeling and representing intellectual structures associated with scientific disciplines. In this article, the domain of computer graphics is visualized based on author cocitation patterns derived from an 18-year span of the prestigious IEEE Computer Graphics and Applications (1982-1999). This domain visualization utilizes a series of visualization and animation techniques, including author cocitation maps, citation time lines, animation of a highdimensional specialty space, and institutional profiles. This approach not only augments traditional domain analysis and the understanding of scientific disciplines, but also produces a persistent and shared knowledge space for researchers to keep track the development of knowledge more effectively. The results of the domain visualization are discussed and triangulated in a broader context of the computer graphics field
    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.4, S.315-330
  11. Small, H.: Visualizing science by citation mapping (1999) 0.02 
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    Abstract
    Science mapping is discussed in the general context of information visualization. Attempts to construct maps of science using citation data are reviewed, focusing on the use of co-citation clusters. New work is reported on a dataset of about 36.000 documents using simplified methods for ordination, and nesting maps hierarchically. an overall map of the dataset shows the multidisciplinary breadth of the document sample, and submaps allow drilling down the document level. An effort to visualize these data using advanced virtual reality software is described, and the creation of document pathways through the map is seen as a realization of Bush's associative trails
    Object
    Web of Science
    Source
    Journal of the American Society for Information Science. 50(1999) no.9, S.799-813
  12. Rajan, T.N.; Guha, B.; Sayanarayana, R.: Associate relationship of concepts as seen through citations and citation index (1982) 0.01 
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    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
  13. Riviera, E.: Scientific communities as autopoietic systems : the reproductive function of citations (2013) 0.01 
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    Abstract
    The increasing employment of bibliometric measures for assessing, describing, and mapping science inevitably leads to the increasing need for a citation theory constituting a theoretical frame for both citation analysis and the description of citers' behavior. In this article a theoretical model, encompassing both normative and constructivist approaches, is suggested. The conceptualization of scientific communities as autopoietic systems, the components of which are communicative events, allows us to observe the reproductive function of citations conceived as codes and media of scientific communication. Citations, thanks to their constraining and enabling properties, constitute the engine of the structuration process ensuring the reproduction of scientific communities. By referring to Giddens' structuration theory, Luhmann's theory about social systems as communicative networks, Merton's "sociology of science" and his conceptualizations about the functions of citations, as well as Small's proposal about citations as concept-symbols, a sociologically integrated approach to scientometrics is proposed.
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.7, S.1442-1453
  14. Cronin, B.: Semiotics and evaluative bibliometrics (2000) 0.01 
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    Abstract
    The reciprocal relationship between bibliographic references and citations in the context of the scholarly communication system is examined. Semiotic analysis of referencing behaviours and citation counting reveals the complexity of prevailing sign systems and associated symbolic practices.
    Source
    Journal of documentation. 56(2000) no.4, S.440-453
  15. Bradshaw, S.; Hammond, K.: Using citations in facilitate precise indexing and automatic index creation in collections of research papers (2001) 0.01 
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    Source
    Knowledge-based systems. 14(2001) nos.1/2, S.20-35
  16. Leydesdorff, L.: Clusters and maps of science journals based on bi-connected graphs in Journal Citation Reports (2004) 0.01 
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    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.
    Source
    Journal of documentation. 60(2004) no.4, S.371-427
  17. Nicolaisen, J.: Citation analysis (2007) 0.01 
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    Date
    13. 7.2008 19:53:22
    Source
    Annual review of information science and technology. 41(2007), S.xxx-xxx
  18. Jacobs, N.; Woodfield, J.; Morris, A.: Using local citation data to relate the use of journal articles by academic researchers to the coverage of full-text document access systems (2000) 0.01 
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    Abstract
    The methodology and findings are presented of an empirical study comparing local citation patterns with the holdings lists of a number of sources of journal articles. These sources were the British Library Document Supply Centre (BLDSC) and the BL inside service, library holdings, ProQuest Direct, SearchBank, EiText and a linking system including both the Geobase database and the BLDSC. The value of local citation figures is discussed, as is the concept of a "core" of journal titles, from both theoretical and practical perspectives. Using these figures to represent the local use of journal articles, the coverage of the document sources was found to vary widely. Unsurprisingly, the BLDSC was found to offer the widest coverage. Newer, electronic systems generally fared less well, but may offer other advantages.
    Source
    Journal of documentation. 56(2000) no.5, S.563-581
  19. Lawrence, S.; Giles, C.L.; Bollaker, K.: Digital libraries and Autonomous Citation Indexing (1999) 0.01 
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    Abstract
    Autonomous Citation Indexing (ACI) automates the construction of citation indexes - Lower cost, wider availability: ACI is completely autonomous - no manual effort is required. This should result in lower cost and wider availability. Broader coverage: Because no manual effort is required, there are few barriers to indexing a broader range of literature, compared to indexes like the Science Citation Index that require manual effort. More timely feedback: Conference papers, technical reports, and preprints can be indexed, providing far more timely feedback in many cases (often such publications appear far in advance of corresponding journal publications). Citation context: ACI groups together the context of citations to a given article, allowing researchers to easily see what is being said and why the article was cited. Benefits for both literature search and evaluation. Freely available: Our implementation of ACI is available at no cost for non-commercial use. Several orgnizations have requested the software and expressed interest in providing an index within their domain, or in using ACI within their own digital libraries.
  20. Howard, D.L.: What the eye sees while predicitng a document's pertinence from its citation (1991) 0.01 
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    Abstract
    Predicting relevance of documents from citations is a common problem for information users. The study addresses the relevance prediction process and most specifically, what is viewed by the subject while using the citations. 2 kinds of protocols were collected while 11 subjects viewed 7 citations each. Eye fixations and eye movements between parts of citations were examined. Verbal reports from subjects during this process were used to explore the process of assessment
    Source
    ASIS '91: systems understanding people. proc. of the 54th Annual Meeting of the ASIS, vol.28, Washington, DC, 27.-31.10.1991. Ed.: J.-M. Griffiths

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