Bibliometric analysis of the automatic indexing literature: 1950-2000

Pulgarín, Antonio and Gil-Leiva, Isidoro Bibliometric analysis of the automatic indexing literature: 1950-2000. Information Processing & Management, 2004, vol. 40, n. 2, pp. 365-377. [Journal article (Paginated)]

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English abstract

We present a bibliometric study of a corpus of 839 bibliographic references about automatic indexing, covering the period 1956-2000. We analyse the distribution of authors and works, the obsolescence and its dispersion, and the distribution of the literature by topic, year, and source type. We conclude that: (i) there has been a constant interest on the part of researchers; (ii) the most studied topics were the techniques and methods employed and the general aspects of automatic indexing; (iii) the productivity of the authors does fit a Lotka distribution (Dmax = 0.02 and critical value = 0.054); (iv) the annual aging factor is 95%; and (v) the dispersion of the literature is low.

Item type: Journal article (Paginated)
Keywords: Automatic indexing; Scientific output; Bibliometric analysis Indización automática; Análisis bibliométrico
Subjects: B. Information use and sociology of information > BB. Bibliometric methods
Depositing user: Isidoro Gil Leiva
Date deposited: 10 Jun 2008
Last modified: 02 Oct 2014 12:11
URI: http://hdl.handle.net/10760/11730

References

Anderson, J. D., & Pérez-Carballo, J. (2001). The nature of indexing: how humans and machines analyze messages and texts for retrieval. Part I: Research, and the nature of human indexing. Information Processing & Management,37, 231-254.

Anderson, J. D., & Pérez-Carballo, J. (2001). The nature of indexing: how humans and machines analyze messages and texts for retrieval. Part II: Machine indexing, and the allocation of human versus machine effort. Information Processing & Management,37, 255-277.

Bradford, S. C. (1934). Sources of information on specific subjects. Engineering, 23(3), 85-88.

Bradford, S. C. (1948). Documentation. London: Crosby, Lockwood Sons Ltd.

Brookes, B. C. (1969). Bradford’s law and the bibliography of science. Nature, 22(5523), 953-956.

Brookes, B. C. (1970). Obsolescence of special library periodicals: sampling errors and utility contours. Journal of the American Society for Information Science, 21(5), 320-329.

Burton, E., & Kebler, R. W. (1960). The “Half-life” of some scientific and technical literatures. American Documentation, 11(1), 18-22.

Egghe, L. (1990). Applications of the theory of Bradford’s law to the calculation of Leimkuhler’s law and to the completion of bibliographies. Journal of the American Society for Information Science, 41(7), 469-492.

Gil-Leiva, I. (1999). La automatización de la indización. Gijón, Spain: Trea.

Leimkuhler, F. F. (1967). The Bradford distribution. Journal of Documentation, 23, 197-207.

Line, M. B., & Sandison, A. (1974). Obsolescence and changes in the use of the literature with time. Journal of Documentation, 30(3), 283-350.

Lotka, A. J. (1926). The frequency distribution of scienctific productivity. Journal of the Washington Academy of Sciences, 16(12), 317-323.

Nicholls, P. T. (1986). Empirical validation of Lotka's law. Information Processing & Management, 22(5), 417-419.

Pao, M. L. (1985). Lotka’s law: a testing procedure. Information Processing & Management, 21(4), 305-320.


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