IRODALOM

Anonim (1666): Some observations of strange swarms of insects, and the mischiefs done by them: as also of the brooding of snakes and vipers. Philosophical Transactions of the Royal Society of London, 1. 8. 137–138. p.
https://royalsocietypublishing.org/doi/pdf/10.1098/rstl.1665.0063
https://doi.org/10.1098/rstl.1665.0063

Bailey, Noman T. J. (1957): The Mathematical theory of epidemics. London, Griffin.

Bartholomew, David J. (1967): Stochastic models for social processes. New York, London, Wiley.

Bernoulli, Daniel (1766): Essai d'une nouvelle analyse de la mortalite causée 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, Année 1760. 1–45. p. https://gallica.bnf.fr/ark:/12148/bpt6k3558n/f220.item.langFR

Bettencourt, Luis M. A. – Cintrón-Arias, Ariel – Kaiser, David I. – Castillo-Chávez, Carlos (2006): The power of a good idea: Quantitative modeling of the spread of ideas from epidemiological models. Physica A: Statistical Mechanics and its Applications, 364. 513–536. p. https://doi.org/10.1016/j.physa.2005.08.083

Boetto, Erik – Fantini, Maria Pia – Gangemi, Aldo – Golinelli, Davide – Greco, Manfredi – Nuzzolese, Andrea Giovanni – Presutti, Valentina – Rallo, Flavia. (2021): Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19. Scientometrics, 126. 1189–1215. p. https://doi.org/10.1007/s11192-020-03809-7

Braun, Tibor – Glänzel, Wofgang – Schubert, András (2010): On Sleeping Beauties, Princes and other tales of citation distributions…. Research Evaluation, 19. 3. https://doi.org/10.3152/095820210x514210

Bugát Pál – Schedel Ferenc (1833): Magyar–deák és deák–magyar orvosi szókönyv az Orvosi Tár’ első két évéhez. Pest, Bugát és Schedel. https://library.hungaricana.hu/hu/view/ORSZ_ORVO_Muzealis_28_Bugat_Sched...

Cabanac, Guillaume (2013): Extracting and quantifying eponyms in full-text articles. Scientometrics, 98. 3. 1631–1645. p. https://doi.org/10.1007/s11192-013-1091-8

Cavendish, Henry (1766): XIX. Three papers, containing experiments on factitious air. Philosophical Transactions of the Royal Society of London, 56. 141–184. p. https://doi.org/10.1098/rstl.1766.0019

Chiu, Wen-Ta – Huang, Jing-Shan – Ho, Yuh-Shan (2004): Bibliometric analysis of Severe Acute Respiratory Syndrome-related research in the beginning stage. Scientometrics, 61. 1. 69–77. p. https://doi.org/10.1023/b:scie.0000037363.49623.28

Coleman, James – Katz, Elihu – Menzel, Herbert (1957): The diffusion of an innovation among physicians. Sociometry, 20. 4. 253–270. p. 253. p.
https://www.jstor.org/stable/2785979 https://doi.org/10.2307/2785979

Daley, D. J. – Kendall, D. G. (1964) Epidemics and rumours. Nature, 204. 4963. 1118. p. https://www.nature.com/articles/2041118a0#citeas
https://doi.org/10.1038/2041118a0

Daley, D. J. – Kendall, D. G. (1965): Stochastic rumours. IMA Journal of Applied Mathematics, 1. 1. 42–55. p. https://doi.org/10.1093/imamat/1.1.42

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. p. https://doi.org/10.1007/bf02476908

Dietz, K. (1988): The first epidemic model: a historical note on P. D. En’ko. Australian Journal of Statistics, 30A. 1. 56–65. p.
https://doi.org/10.1111/j.1467-842x.1988.tb00464.x

Dobrov, G[ennadij] M[ihajlovič] (1973): A tudomány tudománya. Budapest, Gondolat, Kossuth.

En’ko, P. D. (1889): On the course of epidemics of some infectious diseases (oroszul). Vrach [Folyóirat Szentpétervár] X: 1008–1010, 1039–1042, 1061–1063; Angolul: En’ko P. D. (1989) On the course of epidemics of some infectious diseases. International Journal of Epidemiology, 18. 4. 749–755. p.
https://doi.org/10.1093/ije/18.4.749

Fairthorne, Robert. A. (1969): Empirical hyperbolic distributions (Bradford-Zipf-Mandelbrot) for bibliometric description and prediction. Journal of Documentation, 25. 4. 319–343. p. https://doi.org/10.1108/eb026481

Fassin, Yves (2021): Research on Covid-19: a disruptive phenomenon for bibliometrics. Scientometrics, 126. 6. 5305–5319. p.
https://doi.org/10.1007/s11192-021-03989-w

Gábor Éva (1974): G. M. Dobrov: A tudomány tudománya. Magyar Tudomány, 81. 6. 388–390. p.

Garfield, Eugene (1980): The epidemiology of knowledge and the spread of scientific information. Current Contents, #35: 5–10. p.
http://www.garfield.library.upenn.edu/essays/v4p586y1979-80.pdf

Garfield, Eugene. (1983): What’s in a name? The eponymic route to immortality. Current Contents, #47: 5–16. p.
http://garfield.library.upenn.edu/essays/v6p384y1983.pdf

Glänzel, Wolfgang – Schlemmer, Balázs – Thijs, Bart (2003): Better late than never? On the chance to become highly cited only beyond the standard bibliometric time horizon. Scientometrics, 58. 3. 571–586. p.
https://doi.org/10.1023/b:scie.0000006881.30700.ea

Goffman, William (1966a): Stability of epidemic processes. Nature, 210. 5038. 786–787. p. https://doi.org/10.1038/210786a0

Goffman, William (1966b): Mathematical approach to the spread of scientific ideas – the history of mast cell research. Nature, 212. 5061. 449–452. p.
https://doi.org/10.1038/212449a0

Goffman, William – Warren, Kenneth 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. p.
https://doi.org/10.4269/ajtmh.1970.19.278

Goffman, William (1971): A mathematical method for analyzing the growth of a scientific discipline. Journal of the Association for Computing Machinery, 18. 2. 173–185. p. https://doi.org/10.1145/321637.321640

Goffman, William – Newill, Vaun A. (1964): Generalization of epidemic theory. An application to the transmission of ideas. Nature, 204. 4955. 225–228. p. https://doi.org/10.1038/204225a0

Goffman, William – Newill, Vaun A. (1967): Communication and epidemic processes. Proceedings of the Royal Society A, 298. 1454. 316–334. p.
https://doi.org/10.1098/rspa.1967.0106

Gupta, Davendra K. (1988:) Bibliometric study of AIDS literature, 1981–84. Annals of Library and Information Studies, (ALIS) 35. 1. 35–42. p.
http://nopr.niscair.res.in/handle/123456789/27807

Haghani, Milad – Varamini, Pegah (2021): Temporal evolution, most influential studies and Sleeping Beauties of the coronavirus literature. Scientometrics, 126. 8. 7005–7050. p. https://doi.org/10.1007/s11192-021-04036-4

Haunschild, Robin – Bornmann, Lutz(2021): Can tweets be used to detect problems early with scientific papers? A case study of three retracted COVID-19/SARS-CoV-2 papers. Scientometrics, 126. 6. 5181–5199. p.
https://doi.org/10.1007/s11192-021-03962-7

Kazinczy Ferenc (1879): Pályám emlékezete. Budapest, Aigner Alajos.

Kermack, William Ogilvy – McKendrick, Anderson Gray (1927): A contribution to the mathematical theory of epidemics. Proceedings of the Royal Society A, 115. 772.700–721. p. https://doi.org/10.1098/rspa.1927.0118

Lotka, Alfred J. (1923a): Contribution to the analysis of malaria epidemiology. I. General part. American Journal of Epidemiology, 3. 1. supp. 1–36. p.
https://doi.org/10.1093/oxfordjournals.aje.a118963

Lotka, Alfred 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. 1. supp. 38–54. p.
https://doi.org/10.1093/oxfordjournals.aje.a118965

Lotka, Alfred J. (1923c): Contribution to the analysis of malaria epidemiology. III. Numerical part. American Journal of Epidemiology, 3. 1. supp. 55–95. p. https://doi.org/10.1093/oxfordjournals.aje.a118966

Lotka, Alfred J. – Sharpe, F. R. (1923d): Contribution to the analysis of malaria epidemiology. IV. Incubation lag. American Journal of Epidemiology, 3. 1. supp. 96–112. p. https://doi.org/10.1093/oxfordjournals.aje.a118967

Lotka, Alfred J. (1923e): Contribution to the analysis of malaria epidemiology. V. Summary. American Journal of Epidemiology, 3. 1. supp. 113–121. p.
https://doi.org/10.1093/oxfordjournals.aje.a118964

Lucas-Dominguez, Rut – Alonso-Arroyo, Adolfo – Vidal-Infer, Antonio – Aleixandre-Benavent, Rafael (2021): The sharing of research data facing the COVID-19 pandemic. Scientometrics, 126. 6. 4975–4990. p.
https://doi.org/10.1007/s11192-021-03971-6

Maia, Luís Fernando M. P. – Oliveira, Jonice (2017): Investigation of Research impacts on the Zika virus. In: WebMedia ’17: Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web. Gramado RS Brazil October 17 - 20, 2017. 413–416. p. https://doi.org/10.1145/3126858.3131593

Maia, Luís Fernando M. P. – Lenzi, Marcia. – Rabello, Elaine – Oliveira, Jonice (2019): REALM. An Altmetrics-based framework to map science impacts on society. A case study on Zika Research. In: Payam Barnaghi,Georg Gottlob,Yannis Manolopoulos,Theodoros Tzouramanis,Athena Vakali (ed.): WI ’19: IEEE/WIC/ACM International Conference on Web Intelligence. Thessaloniki Greece October 14 - 17, 2019. New York, Association for Computing Machinery 233–241. p. https://doi.org/10.1145/3350546.3352523

Martín-Acebes, Miguel A. – Saiz, Juan-Carlos (2019): The scientific response to Zika virus. Journal of Clinical Medicine (JCM), 8 .3. 369. p.
https://doi.org/10.3390/jcm8030369

Martins, José – Pinto, Alebrto (2020): The value of information searching against fake news. Entropy, 22. 12. 1368. p. https://doi.org/10.3390/e22121368

Menzel, Herbert – Katz, Elihu (1955): Social relations and innovation in the medical profession. The epidemiology of a new drug. Public Opinion Quarterly, 19. 4. 337. p.https://doi.org/10.1086/266584

Molineux, Thomas. (1694): Historical account of the late general coughs and colds; with some observations on other epidemick distempers. Philosophical Transactions of the Royal Society of London, 105–111. p.
https://doi.org/10.1098/rstl.1694.0022

Moradi, Shima – Abdi, Sajedeh (2020): Pandemic publication. Correction and erratum in COVID-19 publications. Scientometrics, 126. 2. 1849–1857. p. https://doi.org/10.1007/s11192-020-03787-w

Налимов, Василий Васильевич – Мульченко, Зинаида Максимовна (1969): Наукометрия. Изучение развития науки как информационного процесса. Москва, Наука. http://www.library.fa.ru/files/Nalimov.pdf

Nalimov, Vasiliy Vasilievich – Mulchenko, Zinaida Maksimovna (1971): Measurement of science. Study of the development of science as an information process. Springfield (VA), Technical Information Service.

Nalimov, Vaszilij Vasiljevich – Mulcsenko, Zinaida Makszimovna (1980): Tudománymetria. Budapest, Akadémiai.

Olijnyk, Nicholas V. (2015): An algorithmic historiography of the Ebola research specialty. Mapping the science behind Ebola. Scientometrics, 105. 1. 623–643. p. https://doi.org/10.1007/s11192-015-1688-1

Price, Derek J. de Solla – Gürsey, Suha (1975a): Studies in scientometrics I. Transience and continuance in scientific authorship. International Forum on Information and Documentation, 1. 2. 17–24. p. [Ciência da Informação. 4. 1. (1975) 27–40. p. https://doi.org/10.18225/ci.inf.v4i1.64]

Price, Derek J. de Solla–Gürsey, Suha (1975b): Studies in Scientometrics II. The relation between source author and cited author populations. International Forum on Information and Documentation, 1. 3. 19–22. p. [Ciência da Informação. 4. 2. (1975) 103–108. p. https://doi.org/10.18225/ci.inf.v4i2.59]

Price, Derek J. de Solla (1966): The science of scientists. Medical Opinion & Review, 1. 88–97. p.

Reed, Lowell (1951): Epidemic theory: What is it? (Television program) Johns Hopkins Science Review, Baltimore (MD)
https://www.youtube.com/watch?v=OR5uzbPajzM

Reia, Sandro M – Fontanari, José F. (2021): A SIR epidemic model for citation dynamics. The European Physical Journal Plus, 136. 2. 207.
https://doi.org/10.1140/epjp/s13360-021-01199-0

Retracted coronavirus (COVID-19) papers (2021). In: Retraction Watch.
https://retractionwatch.com/retracted-coronavirus-covid-19-papers/

Richardson, Lewis F. (1948): War-moods: I. Psychometrika, 13. 3. 147–174. p.
https://doi.org/10.1007/bf02289258

Schubert, András (2014): Orvostudományi eponímák tudománymetriai nézőpontból. Orvosi Hetilap, 155. 36. 1445–1447. p.
https://doi.org/10.1556/oh.2014.30002

Self, Ph. C. – Filardo, Th. W. – Lancaster, F. W. (1989): Acquired immunodeficiency syndrome (AIDS) and the epidemic growth of its literature. Scientometrics, 17. 1–2. 49–60. p. https://doi.org/10.1007/bf02017722

Sharma, C. L. – Pathria, R. K. – Karmeshu, (1983): Diffusion of information in a social group. The Journal of Mathematical Sociology, 9. 3. 211–226. p.
https://doi.org/10.1080/0022250x.1983.9989943

Stigler, Stephen 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

Su, Meiming – Xu, Suowen – Weng, Jianping (2021): A bibliometric study of COVID-19 research in Web of Science. Pharmacological Research, 169. 105664. https://doi.org/10.1016/j.phrs.2021.105664

Szily Kálmán (1902): A magyar nyelvujítás szótára. I–II. Budapest, Hornyánszky. https://mek.oszk.hu/13200/13278/13278.pdf

Teixeira da Silva, Jaime A. – Tsigaris, Panagiotis – Erfanmanesh, Mohammadamin (2020): Publishing volumes in major databases related to Covid-19. Scientometrics, 126. 1. 831–842. p. https://doi.org/10.1007/s11192-020-03675-3

Tian, Deqiao – Zheng, Tao (2015): Emerging infectious disease: trends in the literature on SARS and H7N9 influenza. Scientometrics, 105. 1. 485–495. p. https://doi.org/10.1007/s11192-015-1681-8

van Raan, Anthony F. J. (2004): Sleeping Beauties in science. Scientometrics, 59. 3. 467–472. p. https://doi.org/10.1023/b:scie.0000018543.82441.f1

Zhang, Lin – Zhao, Wenjing – Sun, Beibei – Huang, Ying – Glänzel, Wolfgang (2020): How scientific research reacts to international public health emergencies: a global analysis of response patterns. Scientometrics, 124. 1. 747–773. p. https://doi.org/10.1007/s11192-020-03531-4