-
Døsen, K.: One more reference on self-reference (1992)
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- Date
- 7. 2.2005 14:10:22
-
Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013)
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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
-
Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006)
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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
-
Van der Veer Martens, B.; Goodrum, G.: ¬The diffusion of theories : a functional approach (2006)
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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
-
Meadows, A.J.: ¬The citation characteristics of astronomical research literature (2004)
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- Abstract
- The citation characteristics of papers in the Monthly Notices of the Royal Astronomical Society (especially for the years 1963-1965) have been examined as a means of studying the usage of astronomical literature in the UK. The decrease of usage with age has been investigated and the decay half-life determined. Particular attention has been paid to the immediacy effect, and to its possible variation in different sub-fields of astronomy. The citations have also been separated according to journal of origin. As a result of this study, a quantitative estimate has been made of the titles and backruns that are required to satisfy a given percentage of the demand for astronomical research literature in this country.
-
Campanario, J.M.: Have referees rejected some of the most-cited articles of all times? (1996)
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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
-
Mingers, J.; Burrell, Q.L.: Modeling citation behavior in Management Science journals (2006)
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- Date
- 26.12.2007 19:22:05
- Footnote
- Beitrag in einem "Special Issue on Informetrics"
-
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
-
Ding, Y.; Zhang, G.; Chambers, T.; Song, M.; Wang, X.; Zhai, C.: Content-based citation analysis : the next generation of citation analysis (2014)
0.02
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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
-
Mendez, A.: Some considerations on the retrieval of literature based on citations (1978)
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-
Nicolaisen, J.: Citation analysis (2007)
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- Date
- 13. 7.2008 19:53:22
-
Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001)
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- Date
- 22. 7.2006 15:22:28
-
Moravcsik, M.J.; Murugesan, P.: Some results on the function and quality of citations (1975)
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-
Cronin. B.: Some reflections on citation habits in psychology (1980)
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-
Garfield, E.: Agony and ecstasy of the Internet : experiences of an information scientist qua publisher (1996)
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- Abstract
- Reports recent experiences with the publishing, via the Internet and WWW of ISI's biweekly newspaper, The Scientist; which was originally mounted on the NSFnet. Compares the use of the Internet for SDI by comparing Web searches via AltaVista with similar searches on CD-ROM. Predicts that future current awareness services and SDI services will be linked to electronic periodicals in electronic libraries. Concludes with a note on cited reference searching, a variation on the theme of hypertext searching, with particular reference to SCI and Web crawlers
-
Cronin, B.: Bibliometrics and beyond : some thoughts on web-based citation analysis (2001)
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-
Zhao, D.: Challenges of scholarly publications on the Web to the evaluation of science : a comparison of author visibility on the Web and in print journals (2005)
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- Abstract
- This article reveals different patterns of scholarly communication in the XML research field on the Web and in print journals in terms of author visibility, and challenges the common practice of exclusively using the ISI's databases to obtain citation counts as scientific performance indicators. Results from this study demonstrate both the importance and the feasibility of the use of multiple citation data sources in citation analysis studies of scholarly communication, and provide evidence for a developing "two tier" scholarly communication system.
- Footnote
- Beitrag in einem "Special Issue on Infometrics"
-
Kurtz, M.J.; Eichhorn, G.; Accomazzi, A.; Grant, C.; Demleitner, M.; Henneken, E.; Murray, S.S.: ¬The effect of use and access on citations (2005)
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- Abstract
- It has been shown (Lawrence, S. (2001). Online or invisible? Nature, 411, 521) that journal articles which have been posted without charge on the internet are more heavily cited than those which have not been. Using data from the NASA Astrophysics Data System (ads.harvard.edu) and from the ArXiv e-print archive at Cornell University (arXiv.org) we examine the causes of this effect.
- Footnote
- Beitrag in einem "Special Issue on Infometrics"
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Garfield, E.; Stock, W.G.: Citation Consciousness : Interview with Eugene Garfiels, chairman emeritus of ISI; Philadelphia (2002)
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- Source
- Password. 2002, H.6, S.22-25
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Braun, T.; Glanzel, W.; Grupp, H.: ¬The scientometric weight of 50 nations in 27 scientific areas, 1989-1993 : Pt.1: All fields combined, mathematics, engineering, chemistry and physics (1995)
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- Abstract
- Attempts some new approaches to the presentation of bibliometric macro level indicators. Mathematics, engineering, physics and chemistry subfields are assigned to 13 science areas. Each science area then appears on 1 table (left page) and 2 graphs (right page). The 1st graph shows the main citation rates with respect to the world average on a relational chart. The countries are represented by letter codes that can be found in the corresponding table on the facing page. The 2nd graph visualizes the countries' relative research activity in the given science areas as compared to the world standard
