Search (275 results, page 1 of 14)

  • × theme_ss:"Citation indexing"
  1. Døsen, K.: One more reference on self-reference (1992) 0.11
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    Date
    7. 2.2005 14:10:22
    Type
    a
  2. Nicolaisen, J.: Citation analysis (2007) 0.04
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    Date
    13. 7.2008 19:53:22
    Type
    a
  3. 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
    Type
    a
  4. Bradshaw, S.; Hammond, K.: Using citations in facilitate precise indexing and automatic index creation in collections of research papers (2001) 0.03
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    a
  5. Garfield, E.; Stock, W.G.: Citation Consciousness : Interview with Eugene Garfiels, chairman emeritus of ISI; Philadelphia (2002) 0.02
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    Source
    Password. 2002, H.6, S.22-25
    Type
    a
  6. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.02
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    Abstract
    This paper presents a test of the validity of using Google Scholar to evaluate the publications of researchers by comparing the premises on which its search engine, PageRank, is based, to those of Garfield's theory of citation indexing. It finds that the premises are identical and that PageRank and Garfield's theory of citation indexing validate each other.
    Date
    17.12.2013 11:02:22
    Type
    a
  7. Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009) 0.02
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    Date
    22. 3.2009 19:22:35
    Type
    a
  8. Lai, K.-K.; Wu, S.-J.: Using the patent co-citation approach to establish a new patent classification system (2005) 0.02
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    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.
    Type
    a
  9. Garfield, E.: Recollections of Irving H. Sher 1924-1996 : Polymath/information scientist extraordinaire (2001) 0.02
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    Abstract
    Over a 35-year period, Irving H. Sher played a critical role in the development and implementation of the Science Citation Index and other ISI products. Trained as a biochemist, statistician, and linguist, Sher brought a unique combination of talents to ISI as Director of Quality Control and Director of Research and Development. His talents as a teacher and mentor evoked loyalty. He was a particularly inventive but self-taught programmer. In addition to the SCI, Social Sciences Citation Index, and Arts and Humanities Citation Index,
    Date
    16.12.2001 14:01:22
    Type
    a
  10. Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020 (2020) 0.02
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    Abstract
    Conclusion There is a reason why Google Scholar and Web of Science/Scopus are kings of the hills in their various arenas. They have strong brand recogniton, a head start in development and a mass of eyeballs and users that leads to an almost virtious cycle of improvement. Competing against such well established competitors is not easy even when one has deep pockets (Microsoft) or a killer idea (scite). It will be interesting to see how the landscape will look like in 2030. Stay tuned for part II where I review each particular index.
    Date
    17.11.2020 12:22:59
    Type
    a
  11. Van der Veer Martens, B.; Goodrum, G.: ¬The diffusion of theories : a functional approach (2006) 0.02
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    Abstract
    This comparative case study of the diffusion and nondiffusion over time of eight theories in the social sciences uses citation analysis, citation context analysis, content analysis, surveys of editorial review boards, and personal interviews with theorists to develop a model of the theory functions that facilitate theory diffusion throughout specific intellectual communities. Unlike previous work on the diffusion of theories as innovations, this theory functions model differs in several important respects from the findings of previous studies that employed Everett Rogers's classic typology of innovation characteristics that promote diffusion. The model is also presented as a contribution to a more integrated theory of citation.
    Date
    22. 7.2006 15:20:01
    Type
    a
  12. Mingers, J.; Burrell, Q.L.: Modeling citation behavior in Management Science journals (2006) 0.02
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    Abstract
    Citation rates are becoming increasingly important in judging the research quality of journals, institutions and departments, and individual faculty. This paper looks at the pattern of citations across different management science journals and over time. A stochastic model is proposed which views the generating mechanism of citations as a gamma mixture of Poisson processes generating overall a negative binomial distribution. This is tested empirically with a large sample of papers published in 1990 from six management science journals and found to fit well. The model is extended to include obsolescence, i.e., that the citation rate for a paper varies over its cited lifetime. This leads to the additional citations distribution which shows that future citations are a linear function of past citations with a time-dependent and decreasing slope. This is also verified empirically in a way that allows different obsolescence functions to be fitted to the data. Conclusions concerning the predictability of future citations, and future research in this area are discussed.
    Date
    26.12.2007 19:22:05
    Type
    a
  13. Shibata, N.; Kajikawa, Y.; Matsushima, K.: Topological analysis of citation networks to discover the future core articles (2007) 0.02
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    Abstract
    In this article, we investigated the factors determining the capability of academic articles to be cited in the future using a topological analysis of citation networks. The basic idea is that articles that will have many citations were in a "similar" position topologically in the past. To validate this hypothesis, we investigated the correlation between future times cited and three measures of centrality: clustering centrality, closeness centrality, and betweenness centrality. We also analyzed the effect of aging as well as of self-correlation of times cited. Case studies were performed in the two following recent representative innovations: Gallium Nitride and Complex Networks. The results suggest that times cited is the main factor in explaining the near future times cited, and betweenness centrality is correlated with the distant future times cited. The effect of topological position on the capability to be cited is influenced by the migrating phenomenon in which the activated center of research shifts from an existing domain to a new emerging domain.
    Type
    a
  14. Ma, N.; Guan, J.; Zhao, Y.: Bringing PageRank to the citation analysis (2008) 0.02
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    Abstract
    The paper attempts to provide an alternative method for measuring the importance of scientific papers based on the Google's PageRank. The method is a meaningful extension of the common integer counting of citations and is then experimented for bringing PageRank to the citation analysis in a large citation network. It offers a more integrated picture of the publications' influence in a specific field. We firstly calculate the PageRanks of scientific papers. The distributional characteristics and comparison with the traditionally used number of citations are then analyzed in detail. Furthermore, the PageRank is implemented in the evaluation of research influence for several countries in the field of Biochemistry and Molecular Biology during the time period of 2000-2005. Finally, some advantages of bringing PageRank to the citation analysis are concluded.
    Date
    31. 7.2008 14:22:05
    Type
    a
  15. Lawrence, S.; Giles, C.L.; Bollaker, K.: Digital libraries and Autonomous Citation Indexing (1999) 0.02
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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.
    Type
    a
  16. Mayr, P.; Walter, A.-K.: Abdeckung und Aktualität des Suchdienstes Google Scholar (2006) 0.01
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    Type
    a
  17. Campanario, J.M.: Have referees rejected some of the most-cited articles of all times? (1996) 0.01
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    Abstract
    In this article a quantitative study is reported on the resistance that scientists may encounter when they do innovative work or when they attempt to publish articles that later become highly cited. A set of 205 commentaries by authors of some of the most-cited papers of all times have been examined in order to identify those articles whose authors encountered difficulty in getting his or her work published. There are 22 commentaries (10,7%) in which authors mention some difficulty or resistance in doing or publishing the research reported in the article. Three of the articles which had problems in being published are the most cited from their respective journals. According the authors' commentaries, although sometimes referees' negative evaluations can help improve the articles, in other instances referees and editors wrongly rejected the highly cited articles
    Type
    a
  18. Snyder, H.; Bonzi, S.: Patterns of self-citation across disciplines : 1980-1989 (1998) 0.01
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    Abstract
    Reports results of a study to examine the patterns of self citation in 6 disciplines distributed among the physical and social sciences and humanities. Sample articles were examined to deermine the relative numbers and ages of self citations and citations to other in the bibliographies and to the exposure given to each type of citation in the text of the articles. significant differences were found in the number and age of citations between disciplines. Overall, 9% of all citations were self citations; 15% of physical sciences citations were self citations, as opposed to 6% in the social sciences and 3% in the humanities. Within disciplines, there was no significantly different amount of coverage between self citations and citations to others. Overall, it appears that a lack of substantive differences in self citation behaviour is consistent across disciplines
    Date
    22. 5.1999 19:33:24
    Type
    a
  19. Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006) 0.01
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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
    Type
    a
  20. Ding, Y.; Zhang, G.; Chambers, T.; Song, M.; Wang, X.; Zhai, C.: Content-based citation analysis : the next generation of citation analysis (2014) 0.01
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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
    Type
    a

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