Bibliometric Laws: Lotka, Bradford, Zipf
Three foundational empirical laws describe the structure and distribution of scientific information: Lotka's Law characterizes author productivity (most authors publish few papers; a few publish many), Bradford's Law describes journal concentration (a small number of core journals contain the majority of papers on a topic), and Zipf's Law models word and term frequency (word frequency inversely proportional to its rank). These regularities, discovered in the mid-20th century, are remarkably robust across disciplines and have become essential tools for understanding research productivity, organizing information resources, and designing search strategies.
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- Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317–323. · URL
- Bradford, S. C. (1934). Sources of information on specific subjects. Engineering, 137, 85–86. · URL
- Zipf, G. K. (1949). Human Behavior and the Principle of Least Effort. Addison-Wesley. · ISBN 978-0486435466
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