This is a preview of subscription content, log in via an institution to check access.
References
Abbey, H. (1952). An examination of the Reed-Frost theory of epidemics. Human Biology, 24(3), 201–233. PMID: 12990130.
Al-Ryalat, S. A., Rawashdeh, K., & El khatib O, Yasin A, Alqadi F, Saleh N, Malkawi L, Hijjawi O, Alessa M,. (2018). The change from an eponym to a representative name: Wegener to granulomatosis with polyangiitis. Scientometrics, 117, 2077–2089. https://doi.org/10.1007/s11192-018-2951-z
Anonymous. (1910). The naming of diseases. Journal of the American Medical Association LIV. https://doi.org/10.1001/jama.1910.02550310047005
Auerbach, F. (1913). Das Gesetz der Bevölkerungskonzentration. Petermanns Geographische Mitteilungen, 59, 74–76.
Bailey, N. T. J. (1957). The mathematical theory of epidemics. Griffin. ISBN 978-0852641132
Bartholomew, D. J. (1967). Stochastic models for social processes. Wiley. ISBN 978-0835733922
Bernoulli, D. (1766). Essai d'une nouvelle analyse de la mortalite causee par la petite verole et des avantages de l'inoculation pour la prevenir. Mémoires de mathématique et de physique, presentés à l'Académie royale des sciences, Paris, 1–45.
Bradford, S. C. (1934). Sources of information on specific subjects. Engineering: An Illustrated Weekly Journal, 137, 85–86.
Bradford, S. C. (1985). Sources of information on specific subjects. Journal of Information Science, 10(4), 173–180. https://doi.org/10.1177/016555158501000407
Brähler, E., & Decker, O. (2005). Der Hirsch−Index. PPmP—Psychotherapie, Psychosomatik, Medizinische Psychologie, 55(11), 451. https://doi.org/10.1055/s-2005-915263
Braun, T. (1992). The epidemic spread of fullerene research. Angewandte Chemie International Edition in English, 31, 588–589. https://doi.org/10.1002/anie.199205881
Braun, T. (2019). Personal communication
Braun, T., Glänzel, W., & Schubert, A. (2005). A Hirsch-type index for journals. Scientist, 19(22), 8.
Braun, T., & Lyon, W. S. (1984). The epidemiology of research on flow-injection analysis: An unconventional approach. Zeitschrift Für Analytische Chemie, 319, 74–77. https://doi.org/10.1007/BF00476234
Braun, T., & Pálos, A. (1989). Textbook trails of eponymic knowledge in analytical chemistry. Trends in Analytical Chemistry, 8(5), 158–160. https://doi.org/10.1016/0165-9936(89)85033-2
Braun, T., & Pálos, A. (1990). The name of the game is fame: Eponyms and eponymy in chemistry. New Journal of Chemistry, 14(8–9), 595–597.
Cabanac, G. (2013). Extracting and quantifying eponyms in full-text articles. Scientometrics, 98, 1631–1645. https://doi.org/10.1007/s11192-013-1091-8
Carroll, J. B. (1941). Zipf’s “law of urban concentration.” Science, 94(2452), 609. https://doi.org/10.1126/science.94.2452.609
Condon, E. U. (1928). Statistics of vocabulary. Science, 57(1733), 300. https://doi.org/10.1126/science.67.1733.300
Cornish, T. C., Kricka, L. J., & Park, J. Y. (2021). A Biopython-based method for comprehensively searching for eponyms in Pubmed. MethodsX, 8, 101264. https://doi.org/10.1016/j.mex.2021.101264
Daley, D. J. (1967). Concerning the spread of news in a population of individuals who never forget. Bulletin of Mathematical Biophysics, 29(2), 373–376. https://doi.org/10.1007/bf02476908
Daley, D. J., & Kendall, D. G. (1964). Epidemics and rumours. Nature, 204(4963), 1118–1118. https://doi.org/10.1038/2041118a0
Daley, D. J., & Kendall, D. G. (1965). Stochastic rumours. IMA Journal of Applied Mathematics, 1(1), 42–55. https://doi.org/10.1093/imamat/1.1.42
De Maia, J. O. (1952). Some mathematical developments on the epidemic theory formulated by Reed and Frost. Human Biology, 24(3), 167–200.
Dietz, K. (1988). The first epidemic model: A historical note on PD Enko. Australian Journal of Statistics, 30A(1), 56–65. https://doi.org/10.1111/j.1467-842x.1988.tb00464.x
Dietz, K., & Heesterbeek, J. A. P. (2002). Daniel Bernoulli’s epidemiological model revisited. Mathematical Biosciences, 180, 1–21. https://doi.org/10.1016/S0025-5564(02)00122-0
Dietz, K., & Schenzle, D. (1985). Mathematical models for infectious disease statistics. In Atkinson, A. C., Feinberg, S. E. (Eds.), A celebration of statistics. The ISI Centenary Volume. Springer, New York, ISBN 978-0-387-96111-8, pp 167–204. https://doi.org/10.1007/978-1-4613-8560-8_8
Enko, P. D. (1889). The epidemic course of some infectious diseases (in Russian), Vrac 10:1008–1010, 1039–1042, 1061–1063. English translation: On the course of epidemics of some infectious diseases. International Journal of Epidemiology, 18, 749–755. https://doi.org/10.1093/ije/18.4.749
Estoup, J. B. (1912). Gammes Sténographiques (3rd ed.). Institut Stenographique de France.
Fairthorne, R. A. (1969). Empirical hyperbolic distributions (Bradford-Zipf-Mandelbrot) for bibliometric description and prediction. Journal of Documentation, 25(4), 319–343. https://doi.org/10.1108/eb026481
Frangopol, P. T. (2005). The Hirsch index: A new scientometric indicator for the evaluation of the results of a scientific researcher (in Rumanian). Revista de Chimie, 56(12), 1279–1281.
Garfield, E. (1980). The epidemiology of knowledge and the spread of scientific information. Current Contents, #35: 5–10. http://www.garfield.library.upenn.edu/essays/v4p586y1979-80.pdf
Glänzel, W., Schlemmer, B., & Thijs, B. (2003). Better late than never? On the chance to become highly cited only beyond the standard bibliometric time horizon. Scientometrics, 58, 571–586. https://doi.org/10.1023/B:SCIE.0000006881.30700.ea
Goffman, W. (1966). Stability of epidemic processes. Nature, 210(5038), 786–787. https://doi.org/10.1038/210786a0
Goffman, W., & Newill, V. A. (1964). Generalization of epidemic theory: An application to the transmission of ideas. Nature, 204(4955), 225–228. https://doi.org/10.1038/204225a0
Goffman, W., & Warren, K. S. (1970). An application of the Kermack-McKendrick theory to the epidemiology of schistosomiasis. The American Journal of Tropical Medicine and Hygiene, 19(2), 278–283. https://doi.org/10.4269/ajtmh.1970.19.278
Haitun, S. D. (1982a). Stationary scientometric distributions: Part I. Different approximations. Scientometrics, 4(1), 5–25. https://doi.org/10.1007/BF02098003
Haitun, S. D. (1982b). Stationary scientometric distributions: Part II. Non-Gaussian nature of scientific activities. Scientometrics, 4(2), 89–104. https://doi.org/10.1007/BF02018448
Haitun, S. D. (1982c). Stationary scientometric distributions: Part III. The role of the Zipf distribution. Scientometrics, 4(3), 181–194. https://doi.org/10.1007/BF02021059
Heesterbeek, J. A. P., & Dietz, K. (1996). The concept of R0 in epidemic theory. Statistica NeerlandIca, 50, 89–110. https://doi.org/10.1111/j.1467-9574.1996.tb01482.x
Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. https://arxiv.org/abs/physics/0508025
Hirsch, J. E., & Buela-Casal, G. (2014). The meaning of the h-index. International Journal of Clinical and Health Psychology, 14(2), 161–164. https://doi.org/10.1016/S1697-2600(14)70050-X
Hu, X., Hu, X., Zhang, Y., & Rousseau, R. (2018). Hibernators, their awakeners and the roles of subsequent authoritative citers. Malaysian Journal of Library and Information Science, 23, 103–113. https://doi.org/10.22452/mjlis.vol23no1.7
Kaess, W. A., & Bousfield, W. A. (1954). The use of citations of authorities in textbooks of introductory psychology. American Psychologist, 9(4), 144–148. https://doi.org/10.1037/h0060107
Kermack, W. O., & McKendrick, A. G. (1927). A contribution to the mathematical theory of epidemics. Proceedings of the Royal Society A, 115(772), 700–721. https://doi.org/10.1098/rspa.1927.0118
Kricka, L. J., Cornish, T. C., & Park, J. Y. (2021). Eponyms in clinical chemistry. Clinica Chimica Acta, 512, 28–32. https://doi.org/10.1016/j.cca.2020.11.014
Lotka, A. J. (1923a). Contribution to the analysis of malaria epidemiology. I. General part. American Journal of Epidemiology, 3, 1–36. https://doi.org/10.1093/oxfordjournals.aje.a118963
Lotka, A. J. (1923b). Contribution to the analysis of malaria epidemiology. II. General part (continued). Comparison of two formulae given by Sir Ronald Ross. American Journal of Epidemiology, 3(supp1), 38–54. https://doi.org/10.1093/oxfordjournals.aje.a118965
Lotka, A. J. (1923c). Contribution to the analysis of malaria epidemiology. III. Numerical part. American Journal of Epidemiology, 3(supp1), 55–95. https://doi.org/10.1093/oxfordjournals.aje.a118966
Lotka, A. J. (1923d). Contribution to the analysis of malaria epidemiology. V. Summary. American Journal of Epidemiology, 3(supp1), 113–121. https://doi.org/10.1093/oxfordjournals.aje.a118964
Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317–323.
Lotka, A. J., & Sharpe, F. R. (1923). Contribution to the analysis of malaria epidemiology. IV. Incubation lag. American Journal of Epidemiology, 3(supp1), 96–112. https://doi.org/10.1093/oxfordjournals.aje.a118967
McCain, K. W. (2011). Eponymy and obliteration by incorporation: The case of the “Nash Equilibrium.” Journal of the American Society for Information Science, 62, 1412–1424. https://doi.org/10.1002/asi.21536
McCain, K. W. (2012). Assessing obliteration by incorporation: Issues and caveats. Journal of the American Society for Information Science and Technology, 63, 2129–2139. https://doi.org/10.1002/asi.22719
McCain, K. W. (2014). Assessing obliteration by incorporation in a full-text database: JSTOR, Economics, and the concept of “bounded rationality.” Scientometrics, 101, 1445–1459. https://doi.org/10.1007/s11192-014-1237-3
Moshkovskii, S. D. (1950). Basic laws of malaria epidemiology. AMN SSSR. (in Russian).
R.U.GAY. (2005). h-Index. http://infmathphys.inter.at/comments.php?code=entry_713
Reed, L. (1951). Epidemic theory: What is it? (Television program) Johns Hopkins Science Review, Baltimore. https://www.youtube.com/watch?v=OR5uzbPajzM
Richardson, L. F. (1948). War-moods: I. Psychometrika, 13(3), 147–174. https://doi.org/10.1007/bf02289258
Ross, R. (1911). Some quantitative studies in epidemiology. Nature, 87, 466–467. https://doi.org/10.1038/087466a0
Ross, R. (1916). An application of the theory of probabilities to the study of a priori pathometry. Part I. Proceedings of the Royal Society A, 92(638), 204–226. https://doi.org/10.1098/rspa.1916.0007
Ross, R., & Hudson, H. P. (1917a). An application of the theory of probabilities to the study of a priori pathometry. Part II. Proceedings of the Royal Society A, 93(650), 212–225. https://doi.org/10.1098/rspa.1917a.0014
Ross, R., & Hudson, H. P. (1917b). An application of the theory of probabilities to the study of a priori pathometry. Part III. Proceedings of the Royal Society B, 89(621), 507. https://doi.org/10.1098/rspb.1917b.0008
Schubert, A. (2014). Scientometric aspects of medical eponyms (In Hungarian). Orvosi Hetilap, 155(36), 1445–1447. https://doi.org/10.1556/OH.2014.30002
Schubert, G., & Schubert, A. (2019b). The eponymic use of Jorge E. Hirsch’s Name. ISSI Newsletter, 15(3), 43–44.
Schubert, A., & Schubert, G. (2016). Lawmaker “pioneers” of scientometrics (in Hungarian). Orvosi Hetilap, 157(2), 74–78. https://doi.org/10.1556/650.2015.30279
Schubert, A., & Schubert, G. (2019a). All along the h-index-related literature: A guided tour. Chapter 12. In: Glänzel, W., Moed, H. F., Schmoch, U., & Thelwall, M. (Eds.), Springer handbook of science and technology indicators. Springer International Publishing. ISBN 978-3-030-02510-6; https://doi.org/10.1007/978-3-030-02511-3. pp. 301–334.
Schubert, A., & Schubert, G. (2021). Epidemics and scientometrics (In Hungarian). Könyv és Nevelés 2021(3) to be published.
Serfling, R. E. (1952). Historical review of epidemic theory. Human Biology, 24(3), 145–166. PMID: 12990128.
Stigler, S. M. (1980). Stigler’s law of eponymy. Transactions of the New York Academy of Sciences, 39(1), 147–157. https://doi.org/10.1111/j.2164-0947.1980.tb02775.x
Valderrama-Zurian, J. C., Melero-Fuentes, D., & Aleixandre-Benavent, R. (2019). Origin, characteristics, predominance and conceptual networks of eponyms in the bibliometric literature. Journal of Informetrics, 13, 434–448. https://doi.org/10.1016/j.joi.2019.02.001
van Raan, A. F. J. (2004). Sleeping beauties in science. Scientometrics, 59, 467–472. https://doi.org/10.1023/B:SCIE.0000018543.82441.f1
Vickery, B. C. (1948). Bradford’s law of scattering. Journal of Documentation, 4, 198–203. https://doi.org/10.1108/eb026133
Zipf, G. K. (1929). Relative frequency as a determinant of phonetic change. Harvard Studies in Classical Philology 40
Zipf, G. K. (1932). Selected studies of the principle of relative frequency in language. Harvard University Press.
Zipf, G. K. (1935). The psycho-biology of language. Houghton-Mifflin.
Zipf, G. K. (1949). Human behavior and the principle of least effort. Addison-Wesley Press.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The first author (András Schubert) is Editor of Scientometrics, and the second author (Wolfgang Glänzel) is the Editor-in-Chief of Scientometrics.
Additional information
Dedicated to Professor Tibor Braun on the occasion of his 90th birthday.
Rights and permissions
About this article
Cite this article
Schubert, A., Glänzel, W. & Schubert, G. Eponyms in science: famed or framed?. Scientometrics 127, 1199–1207 (2022). https://doi.org/10.1007/s11192-022-04298-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11192-022-04298-6