-
Aström, F.: Changes in the LIS research front : time-sliced cocitation analyses of LIS journal articles, 1990-2004 (2007)
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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.
- Field
- Bibliothekswesen
Informationswissenschaft
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.7, S.947-957
-
Vaughan, L.; Shaw , D.: Bibliographic and Web citations : what Is the difference? (2003)
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- Abstract
- Vaughn, and Shaw look at the relationship between traditional citation and Web citation (not hyperlinks but rather textual mentions of published papers). Using English language research journals in ISI's 2000 Journal Citation Report - Information and Library Science category - 1209 full length papers published in 1997 in 46 journals were identified. Each was searched in Social Science Citation Index and on the Web using Google phrase search by entering the title in quotation marks, and followed for distinction where necessary with sub-titles, author's names, and journal title words. After removing obvious false drops, the number of web sites was recorded for comparison with the SSCI counts. A second sample from 1992 was also collected for examination. There were a total of 16,371 web citations to the selected papers. The top and bottom ranked four journals were then examined and every third citation to every third paper was selected and classified as to source type, domain, and country of origin. Web counts are much higher than ISI citation counts. Of the 46 journals from 1997, 26 demonstrated a significant correlation between Web and traditional citation counts, and 11 of the 15 in the 1992 sample also showed significant correlation. Journal impact factor in 1998 and 1999 correlated significantly with average Web citations per journal in the 1997 data, but at a low level. Thirty percent of web citations come from other papers posted on the web, and 30percent from listings of web based bibliographic services, while twelve percent come from class reading lists. High web citation journals often have web accessible tables of content.
- Field
- Bibliothekswesen
Informationswissenschaft
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.14, S.1313-1324
-
White, H.D.; McCain, K.W.: Visualizing a discipline : an author co-citation analysis of information science, 1972-1995 (1998)
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- Abstract
- Presents an extensive domain analysis of information science in terms of its authors. Names of those most frequently cited in 12 key journals from 1972 through 1995 were retrieved from Social SciSearch via Dialog. The top 120 were submitted to author co-citation analyzes, yielding automatic classifications relevant to histories of the field
- Field
- Informationswissenschaft
- Source
- Journal of the American Society for Information Science. 49(1998) no.4, S.327-355
-
Cronin, B.; Shaw, D.: Banking (on) different forms of symbolic capital (2002)
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- Abstract
- The accrual of symbolic capital is an important aspect of academic life. Successful capital formation is commonly signified by the trappings of scholarly distinction or acknowledged status as a public intellectual. We consider and compare three potential indices of symbolic capital: citation counts, Web hits, and media mentions. Our Eindings, which are domain specific, suggest that public intellectuals are notable by their absence within the information studies community.
- Field
- Informationswissenschaft
- Source
- Journal of the American Society for Information Science and technology. 53(2002) no.14, S.1267-1270
-
Nicolaisen, J.: Citation analysis (2007)
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- Date
- 13. 7.2008 19:53:22
- Source
- Annual review of information science and technology. 41(2007), S.xxx-xxx
-
Case, D.O.; Higgins, G.M.: How can we investigate citation behavior? : A study of reasons for citing literature in communication (2000)
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- Field
- Informationswissenschaft
- Source
- Journal of the American Society for Information Science. 51(2000) no.7, S.635-645
-
Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001)
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- Date
- 22. 7.2006 15:22:28
- Source
- Information Research. 6(2001), no.2
-
Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009)
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- Date
- 22. 3.2009 19:22:35
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.858-862
-
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
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.9, S.1263-1274
-
Mingers, J.; Burrell, Q.L.: Modeling citation behavior in Management Science journals (2006)
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- Date
- 26.12.2007 19:22:05
- Source
- Information processing and management. 42(2006) no.6, S.1451-1464
-
Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003)
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- Abstract
- Ahlgren, Jarneving, and. Rousseau review accepted procedures for author co-citation analysis first pointing out that since in the raw data matrix the row and column values are identical i,e, the co-citation count of two authors, there is no clear choice for diagonal values. They suggest the number of times an author has been co-cited with himself excluding self citation rather than the common treatment as zeros or as missing values. When the matrix is converted to a similarity matrix the normal procedure is to create a matrix of Pearson's r coefficients between data vectors. Ranking by r and by co-citation frequency and by intuition can easily yield three different orders. It would seem necessary that the adding of zeros to the matrix will not affect the value or the relative order of similarity measures but it is shown that this is not the case with Pearson's r. Using 913 bibliographic descriptions form the Web of Science of articles form JASIS and Scientometrics, authors names were extracted, edited and 12 information retrieval authors and 12 bibliometric authors each from the top 100 most cited were selected. Co-citation and r value (diagonal elements treated as missing) matrices were constructed, and then reconstructed in expanded form. Adding zeros can both change the r value and the ordering of the authors based upon that value. A chi-squared distance measure would not violate these requirements, nor would the cosine coefficient. It is also argued that co-citation data is ordinal data since there is no assurance of an absolute zero number of co-citations, and thus Pearson is not appropriate. The number of ties in co-citation data make the use of the Spearman rank order coefficient problematic.
- Date
- 9. 7.2006 10:22:35
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.6, S.549-568
-
Bensman, S.J.: Garfield and the impact factors (2007)
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- Source
- Annual review of information science and technology. 41(2007), S.xxx-xxx
-
Snyder, H.; Cronin, B.; Davenport, E.: What's the use of citation? : Citation analysis as a literature topic in selected disciplines of the social sciences (1995)
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- Abstract
- Reports results of a study to investigate the place and role of citation analysis in selected disciplines in the social sciences, including library and information science. 5 core library and information science periodicals: Journal of documentation; Library quarterly; Journal of the American Society for Information Science; College and research libraries; and the Journal of information science, were studed to determine the percentage of articles devoted to citation analysis and develop an indictive typology to categorize the major foci of research being conducted under the rubric of citation analysis. Similar analysis was conducted for periodicals in other social sciences disciplines. Demonstrates how the rubric can be used to dertermine how citatiion analysis is applied within library and information science and other disciplines. By isolating citation from bibliometrics in general, this work is differentiated from other, previous studies. Analysis of data from a 10 year sample of transdisciplinary social sciences literature suggests that 2 application areas predominate: the validity of citation as an evaluation tool; and impact or performance studies of authors, periodicals, and institutions
- Source
- Journal of information science. 21(1995) no.2, S.75-85
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Shapiro, F.R.: Origins of bibliometrics, citation indexing and citation analysis : the neglected legal literature (1992)
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- Source
- Journal of the American Society for Information Science. 43(1992), S.337-339
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McCain, K.W.: Co-cited author mapping as a valid representation of intellectual structure (1986)
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- Source
- Journal of the American Society for Information Science. 37(1986), S.111-122
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He, Y.; Hui, S.C.: Mining a web database for author cocitation analysis (2002)
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- Source
- Information processing and management. 38(2002) no.4, S.491-508
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Cronin, B.: Bibliometrics and beyond : some thoughts on web-based citation analysis (2001)
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- Source
- Journal of information science. 27(2001) no.1, S.1-7
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Brooks, T.A.: How good are the best papers of JASIS? (2000)
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- Abstract
- A citation analysis examined the 28 best articles published in JASIS from 1969-1996. Best articles tend to single-authored works twice as long as the avergae article published in JASIS. They are cited and self-cited much more often than the average article. The greatest source of references made to the best articles is from JASIS itself. The top 5 best papers focus largely on information retrieval and online searching
- Content
- Top by numbers of citations: (1) Saracevic, T. et al.: A study of information seeking and retrieving I-III (1988); (2) Bates, M.: Information search tactics (1979); (3) Cooper, W.S.: On selecting a measure of retrieval effectiveness (1973); (4) Marcus, R.S.: A experimental comparison of the effectiveness of computers and humans as search intermediaries (1983); (4) Fidel, R.: Online searching styles (1984)
- Source
- Journal of the American Society for Information Science. 51(2000) no.5, S.485-486
-
Chen, C.; Paul, R.J.; O'Keefe, B.: Fitting the Jigsaw of citation : information visualization in domain analysis (2001)
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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
-
Larsen, B.: Exploiting citation overlaps for information retrieval : generating a boomerang effect from the network of scientific papers (2002)
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