Mathematics 1868–2008: a bibliometric analysis

This paper presents a bibliometric analysis of the literature published in the field of mathematics from 1868 to date. The data originate from the Zentralblatt MATH database. The increase rate of publications per year reflects the growth of the mathematics community and both can well be represented by exponential or linear functions, the latter especially after the Second World War. The distribution of publications follows Bradford′s law but in contrast to many other disciplines there is no strong domination of a small number of journals. The productivity of authors follows two inverse power laws of the Lotka form with different parameters, one in the range of low productivity and the other in the range of high productivity. The average productivity has changed only slightly since the year 1870. As far as multiple authorship is concerned the distribution of the number of authors per publication can be described quite well by a Gamma Distribution. The average number of authors per publication has been increasing steadily; while it was close to 1 up to the first quarter of the last century it has now reached a value of 2 in the last few years. This means that the percentage of single-authored papers has fallen from over 95% in the years before 1930 to about 30% today.

[1]  Jean Tague-Sutcliffe,et al.  Collaborative coefficient: A single measure of the degree of collaboration in research , 1988, Scientometrics.

[2]  Kenneth O. May Quantitative Growth of the Mathematical Literature , 1966, Science.

[3]  Abraham Bookstein,et al.  Informetric distributions, part I: Unified overview , 1990, J. Am. Soc. Inf. Sci..

[4]  D. Price,et al.  Studies in Scientometrics I Transience and Continuance in Scientific Authorship , 1975 .

[5]  Roland Wagner-Döbler Were has the cumulative advantage gone? Some observations about the frequency distribution of scientific productivity, of duration of scientific participation, and of speed of publication , 2005, Scientometrics.

[6]  Alfred J. Lotka,et al.  The frequency distribution of scientific productivity , 1926 .

[7]  S. Bradford "Sources of information on specific subjects" by S.C. Bradford , 1985 .

[8]  Wolfgang Glänzel,et al.  Inflationary bibliometric values: The role of scientific collaboration and the need for relative indicators in evaluative studies , 2004, Scientometrics.

[9]  Rafael Bailón-Moreno,et al.  Bibliometric laws: Empirical flaws of fit , 2005, Scientometrics.

[10]  Werner Marx,et al.  Mapping High-Temperature Superconductors—A Scientometric Approach , 2006, cond-mat/0609114.

[11]  W. Reed The Pareto, Zipf and other power laws , 2001 .

[12]  Wolfgang Glänzel,et al.  Coauthorship Patterns and Trends in the Sciences (1980-1998): A Bibliometric Study With Implications for Database Indexing and Search Strategies , 2002, Libr. Trends.

[13]  Jonathan Furner,et al.  Little Book, Big Book , 2003, J. Libr. Inf. Sci..

[14]  Roland Wagner-Döbler,et al.  Two components of a causal explanation of Bradford's law , 1996, J. Inf. Sci..

[15]  Helmut A. Abt,et al.  The publication rate of scientific papers depends only on the number of scientists , 2007, Scientometrics.

[16]  Heinrich Behrens,et al.  Wissenschaftswachstum in wichtigen naturwissenschaftlichen Disziplinen vom 17. bis zum 21. Jahrhundert , 2006 .

[17]  D. Price Little Science, Big Science , 1965 .

[18]  Roland Wagner-Döbler Science-Technology Coupling: The Case of Mathematical Logic and Computer Science , 1997, J. Am. Soc. Inf. Sci..

[19]  R. Perline Strong, Weak and False Inverse Power Laws , 2005 .

[20]  Ferdinand F. Leimkuhler,et al.  THE BRADFORD DISTRIBUTION , 1967 .

[21]  I. K. Ravichandra Rao A stochastic approach to analysis of distribution of papers in mathematics : Lotka's law revisited , 1995 .

[22]  H. Behrens,et al.  A bibliometric study in crystallography. , 2006, Acta crystallographica. Section B, Structural science.

[23]  R. Shackleton A Quantitative Approach , 2005 .

[24]  Roland Wagner-Döbler,et al.  The Dependence of Lotka's Law on the Selection of Time periods in the Development of Scientific areas and authors , 1995, J. Documentation.

[25]  Helmut A. Abt,et al.  The future of single-authored papers , 2007, Scientometrics.

[26]  Ronald Rousseau,et al.  Bradford Curves , 1994, Inf. Process. Manag..

[27]  Roland Wagner-Döbler,et al.  Nineteenth-Century Mathematics in the Mirror of Its Literature: A Quantitative Approach , 1996 .