Bibliometric Study of Literature on Bibliometrics

Patra, Swapan Kumar and Bhattacharya, Partha and Verma, Neera Bibliometric Study of Literature on Bibliometrics. DESIDOC Bulletin of Information Technology, 2006, vol. 26, n. 1, pp. 27-32. [Journal article (Paginated)]

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English abstract

This paper analyses growth pattern, core journals and authors' distribution in the field of bibliometrics using data from Library And Information Science Abstracts (LISA). Bradford’s law of scattering and Lotka’s law are used to identify core journals and authors’ productivity patterns. It is observed that authors’ distributions do not follow original Lotka’s law. Study also identified 12 most productive authors with more than 20 publications in this field.

Item type: Journal article (Paginated)
Keywords: Bibliometrics, Scientometrics, Webometrics, Bradford’s law, Library and information science abstracts (LISA)
Subjects: B. Information use and sociology of information
B. Information use and sociology of information > BB. Bibliometric methods
Depositing user: Dr Swapan kumar Patra
Date deposited: 30 Jul 2021 09:50
Last modified: 30 Jul 2021 09:50
URI: http://hdl.handle.net/10760/23781

References

1. Pritchard, A. Statistical bibliography or bibliometrics? Journal of Documentation, 1969, 24, 348-49.

2. Nalimov, V.V. & Mulchenko, B.M. Scientometrics, Nauka, Moscow, 1969 (in Russian)

3. Bradford, S.C. Sources of information on specific subjects. Engineering: An Illustrated Weekly, 1934, 3550, 85-86.

4. Ungern-Sternberg, S.V. Bradford’s law in context of information provision. Scientometrics, 2000, 49(1), 161-86.

5. Lotka, A.J. The frequency distribution of scientific productivity, Journal of the Washington Academy of Science, 1926, 16, 317-23.

6. Nichols, P.T. Empirical validation of Lotka’s law. Information Processing and Management, 1986, 22(5), 417-19.

7. Pao, M.L. Lotka’s law: A testing procedure. Information Processing and Management, 1985, 21(4), 305-20.

8. Fang, P.H. & Fang, J.M. A modification of Lotka’s function for scientific productivity Information Processing and Management, 1995, 31(1), 133-37.


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