Home | Browse | Search | Credits | About
Register | User Area | DL-Harvest | Help
DLIST

The Rise and Rise of Citation Analysis

Meho, Lokman I. (2007) The Rise and Rise of Citation Analysis.

Full text available as:
PDF - Requires Adobe Acrobat Reader or other PDF viewer.

Abstract

With the vast majority of scientific papers now available online, this paper (accepted for publication in Physics World) describes how the Web is allowing physicists and information providers to measure more accurately the impact of these papers and their authors. Provides a historical background of citation analysis, impact factor, new citation data sources (e.g., Google Scholar, Scopus, NASA's Astrophysics Data System Abstract Service, MathSciNet, ScienceDirect, SciFinder Scholar, Scitation/SPIN, and SPIRES-HEP), as well as h-index, g-index, and a-index.

EPrint Type:Preprint
Keywords:Citation analysis, Bibliomtrics, Informetrics, Databases, Citation databases, Web of Science, Scopus, Google Scholar, Scholarly communication
Subjects:Data Mining
Databases
Research Methods
Citation Analysis
Co-citation Analysis
Bibliometrics
Web Metrics
Scholarly Communication
Database Searching Instructions
Informetrics
Quantitative Research
Evaluation
ID Code:1703
Deposited On:31 December 2006
Alternative Locations:http://www.slis.indiana.edu/faculty/meho/PhysicsWorld.pdf, http://arxiv.org/ftp/physics/papers/0701/0701012.pdf
Eprint Statistics:View statistics for this eprint
Tell A Colleague:Tell a colleague about it.

Aksnes, D. W., & Taxt, R. E. (2004). Peer reviews and bibliometric indicators: A comparative study at a Norwegian university. Research Evaluation, 13(1), 33-41.

Bakkalbasi, N., Bauer, K., Glover, J., & Wang, L. (2006). Three options for citation tracking: Google Scholar, Scopus and Web of Science. Biomedical Digital Libraries, 7. Retrieved October 04, 2006 from http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1533854.

Ballard, S., & Henry, M. (2006). Citation searching: New players, new tools. The Searcher: the Magazine for Database Professionals, 14(9), 24-33.

Bar-Ilan, J. (submitted). Which h-index? – A comparison of WoS, Scopus and Google Scholar. Scientometrics.

Bauer, K., & Bakkalbasi, N. (2005). An examination of citation counts in a new scholarly communication environment. D-Lib Magazine, 11(9). Retrieved March 25, 2006, from http://www.dlib.org/dlib/september05/bauer/09bauer.html.

Borgman, C. L., & Furner, J. (2002). Scholarly communication and bibliometrics. Annual Review of Information Science and Technology, 36, 3-72.

Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179-255.

Börner, K., Sanyal, S., & Vespignani, A. (2006). Network Science: A Theoretical and Practical Framework. Annual Review of Information Science and Technology, 40.

Bornmann, L., & Daniel, H-D. (2007). What do we know about the h index? Journal of the American Society for Information Science and Technology.

Bornmann, L., & Daniel, H-D. (2005). Does the h-index for ranking of scientists really work? Scientometrics, 65(3), 391-392.

Cronin, B. (1984). The citation process: The role and significance of citations in scientific communication. London: Taylor Graham.

Cronin, B., & Meho, L. (2006). Using the h-index to rank influential information scientists. Journal of the American Society for Information Science and Technology, 57(9), 1275-1278.

Egghe, L. (2006). An improvement of the h-index: the g-index. ISSI Newsletter 2(1) 8–9.

Garfield, E. (2006). The history and meaning of the journal impact factor. JAMA-Journal of the American Medical Association, 295(1), 90-93.

Garfield, E. (1996). How can impact factors be improved? British Medical Journal, 313 (7054), 411-413.

Glänzel, W. (1996). The needs for standards in bibliometric research and technology. Scientometrics, 35(2), 167-176.

Harnad, S., & Brody, T. (2004). Comparing the impact of open access (OA) vs. non-OA articles in the same journals. D-Lib Magazine, 10(6). Retrieved on April 27, 2006 from http://www.dlib.org/dlib/june04/harnad/06harnad.html.

Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569-16572. Retrieved February 15, 2006, from http://www.pnas.org/cgi/reprint/102/46/16569.

Holden, G., Rosenberg, G., & Barker, K. (2005). Bibliometrics: A potential decision making aid in hiring, reappointment, tenure and promotion decisions. Social Work in Health Care, 41(3-4), 67-92.

Holmes, A., & Oppenheim, C. (2001). Use of citation analysis to predict the outcome of the 2001 Research Assessment Exercise for Unit of Assessment (UoA) 61: Library and Information Management. Information Research, 6(2). Retrieved September 15, 2006, from http://informationr.net/ir/6-2/paper103.html.

Jacsó, P. (2006). Deflated, inflated and phantom citation counts. Online Information Review, 30(3), 297-309.

Jacsó, P. (2005). As we may search—comparison of major features of the Web of Science, Scopus, and Google Scholar citation-based and citation-enhanced databases. Current Science, 89(9), 1537-1547. Retrieved March 15, 2006, from http://www.ias.ac.in/currsci/nov102005/1537.pdf.

Kostoff, R. N. (1996). Performance measures for government-sponsored research: Overview and background. Scientometrics, 36(3), 281-292.

Lawrence, S., et al. (1999). Digital libraries and autonomous citation indexing. Computer 32(6), 67–71.

MacRoberts, M. H., & MacRoberts, B. R. (1996). Problems of citation analysis. Scientometrics, 36(3), 435-444.

Martin, B. R. (1996). The use of multiple indicators in the assessment of basic research. Scientometrics, 36(3), 343-362.

Meho, L. I., & Sonnenwald, D. H. (2000). Citation ranking versus peer evaluation of senior faculty research performance: A case study of Kurdish scholarship. Journal of the American Society for Information Science, 51(2), 123-138.

Meho, L. I., & Yang, K. (in press). A new era in citation and bibliometric analyses: Web of Science, Scopus, and Google Scholar. Journal of the American Society for Information Science and Technology.

Moed, H. F. (2005). Citation analysis in research evaluation. Dordrecht, The Netherlands: Springer.

Narin, F. (1976). Evaluative bibliometrics: The use of publication and citation analysis in the evaluation of scientific activity. Cherry Hill, NJ: Computer Horizons.

Nisonger, T. E. (2004). The benefits and drawbacks of impact factor for journal collection management in libraries. The Serials Librarian, 47(1-2), 57-75.

Noruzi, A. (2005). Google Scholar: The new generation of citation indexes. Libri, 55(4), 170-180.

Oppenheim, C. (2007). Using the h-index to rank influential British researchers in information science and librarianship. Journal of the American Society for Information Science and Technology, 58(2).

Oppenheim, C. (1995). The correlation between citation counts and the 1992 Research Assessment Exercise Ratings for British library and information science university departments. Journal of Documentation, 51(1), 18-27.

Persson, O., & Åström, F. (2005). Most cited universities and authors in Library & Information Science 1990-2004. Bibliometric Notes, 7(2). Retrieved November 15, 2006, from http://www.umu.se/inforsk/BibliometricNotes/BN2-2005/BN2-2005.htm.

Roth, D. L. (2005). The emergence of competitors to the Science Citation Index and Web of Science. Current Science, 89(9), 1531-1536. Retrieved March 15, 2006, from http://www.ias.ac.in/currsci/nov102005/1531.pdf.

Saha, S., Saint, S., & Christakis, D. A. (2003). Impact factor: A valid measure of journal quality? Journal of the Medical Library Association, 91(1), 42-46.

Seglen, P. O. (1998). Citation rates and journal impact factors are not suitable for evaluation of research. Acta Orthopaedica Scandinavica, 69(3), 224-229.

Small, H. (1999). Visualizing science by citation mapping. Journal of the American Society for Information Science, 50(9), 799-813.

So, C. Y. K. (1998). Citation ranking versus expert judgment in evaluating communication scholars: Effects of research specialty size and individual prominence. Scientometrics, 41(3), 325-333.

van Raan, A. F. J. (2005). Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods. Scientometrics, 62(1), 133-143.

Wallin, J. A. (2005). Bibliometric methods: Pitfalls and Possibilities. Basic & Clinical Pharmacology & Toxicology, 97(5), 261-275.

White, H. D., & McCain, K. W. (1997). Visualization of Literatures. Annual Review of Information Science and Technology, 32, 99-168.

EPrints dLIST, an open access archive for the Information Sciences, is supported by the School of Information Resources and Library Science and Learning Technologies Center, University of Arizona. Established in 2002, dLIST has a global Advisory Board and is a part of the Information Technology & Society Research Lab. Open Archives
Contact: Admin | Donate