This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
American Physical Society. (2019). Physical Review journals. Retrieved from https://journals.aps.org/about.American Physical Society2019Physical Review journalsRetrieved from https://journals.aps.org/aboutSearch in Google Scholar
Cole, J.R., & Cole, S. (1973). Social stratification in science. Chicago: The University of Chicago Press.ColeJ.R.ColeS.1973Social stratification in scienceChicagoThe University of Chicago PressSearch in Google Scholar
Dong, H., Li, M., Liu, R., Wu, C., & Wu, J. (2017). Allometric scaling in scientific fields. Scientometrics, 112(1), 583–594.DongH.LiM.LiuR.WuC.WuJ.2017Allometric scaling in scientific fieldsScientometrics112158359410.1007/s11192-017-2333-ySearch in Google Scholar
Egghe, L., Rousseau, R., & Van Hooydonk, G. (2000). Methods for accrediting publications to authors or countries: Consequences for evaluation studies. Journal of the Association for Information Science and Technology, 51(2), 145–157.EggheL.RousseauR.Van HooydonkG.2000Methods for accrediting publications to authors or countries: Consequences for evaluation studiesJournal of the Association for Information Science and Technology51214515710.1002/(SICI)1097-4571(2000)51:2<145::AID-ASI6>3.0.CO;2-9Search in Google Scholar
Garfield, E. (1955). Citation indexes for science. Science, 122(3159), 108–111.GarfieldE.1955Citation indexes for scienceScience122315910811110.1126/science.122.3159.108Search in Google Scholar
Garfield, E. (1979). Citation indexing—Its theory and application in science, technology, and humanities. New York: Wiley & Sons.GarfieldE.1979Citation indexing—Its theory and application in science, technology, and humanitiesNew YorkWiley & SonsSearch in Google Scholar
Hsu, J.W., & Huang, D.W. (2009). Distribution for the number of co-authors. Physical Review E, 80(5), 057101.HsuJ.W.HuangD.W.2009Distribution for the number of co-authorsPhysical Review E80505710110.1103/PhysRevE.80.057101Search in Google Scholar
Ibanez, A., Bielza, C., & Larranaga, P. (2013). Relationship among research collaboration, number of documents and number of citations: A case study in Spanish computer science production in 2000–2009. Scientometrics, 95(2), 689–716. https://doi.org/10.1007/s11192-012-0883-6.IbanezA.BielzaC.LarranagaP.2013Relationship among research collaboration, number of documents and number of citations: A case study in Spanish computer science production in 2000–2009Scientometrics952689716https://doi.org/10.1007/s11192-012-0883-610.1007/s11192-012-0883-6Search in Google Scholar
National Research Council. (2009). A guide to the methodology of the National Research Council assessment of doctorate programs. Washington, DC: The National Academies Press.National Research Council2009A guide to the methodology of the National Research Council assessment of doctorate programsWashington, DCThe National Academies PressSearch in Google Scholar
National Research Council. (2011). A data-based assessment of research doctoral in the United States. Washington, DC: The National Academies Press.National Research Council2011A data-based assessment of research doctoral in the United StatesWashington, DCThe National Academies PressSearch in Google Scholar
Onodera, N., & Yoshikane, F. (2015). Factors affecting citation rates of research articles. Journal of the Association for Information Science and Technology, 66(4), 739–764.OnoderaN.YoshikaneF.2015Factors affecting citation rates of research articlesJournal of the Association for Information Science and Technology66473976410.1002/asi.23209Search in Google Scholar
Price, D. de S. (1981). Letter to the editor. Science, 212, 987.PriceD. de S.1981Letter to the editorScience21298710.1097/00006247-198108000-00002Search in Google Scholar
Qian, Y., Rong, W., Jiang, N., Tang, J., & Xiong, Z. (2017). Citation regression analysis of computer science publications in different ranking categories and subfields. Scientometrics, 110(3), 1351–1374. https://doi.org/10.1007/s11192-016-2235-4.QianY.RongW.JiangN.TangJ.XiongZ.2017Citation regression analysis of computer science publications in different ranking categories and subfieldsScientometrics110313511374https://doi.org/10.1007/s11192-016-2235-410.1007/s11192-016-2235-4Search in Google Scholar
Shen, Z., Yang, L., Pei, J., Li, M., Wu, C., Bao, J., Wei, T., Di, Z., Rousseau, R., & Wu, J. (2016). Interrelations among scientific fields and their relative influences revealed by an input-output analysis. Journal of Informetrics, 10(1), 82–97. https://doi.org/10.1016/j.joi.2015.11.002.ShenZ.YangL.PeiJ.LiM.WuC.BaoJ.WeiT.DiZ.RousseauR.WuJ.2016Interrelations among scientific fields and their relative influences revealed by an input-output analysisJournal of Informetrics1018297https://doi.org/10.1016/j.joi.2015.11.00210.1016/j.joi.2015.11.002Search in Google Scholar
Smolinsky, L. (2020) Arbitrage opportunities in publication and ghost authors. Journal of Informetrics, 14(2). https://doi.org/10.1016/j.joi.2020.101016.SmolinskyL.2020Arbitrage opportunities in publication and ghost authorsJournal of Informetrics142https://doi.org/10.1016/j.joi.2020.10101610.1016/j.joi.2020.101016Search in Google Scholar
Smolinsky, L., & Lercher, A. (2019). National Research Council's bibliometric methodology and subfields of a scientific discipline. In Catalano, G., Daraio, C., Gregori, M., Moed, H.F., & Ruocco, G. (Eds), In Proceedings of the 17th Conference of the International Society for Scientometrics and Informetrics (pp. 2684–2685) Rome, Italy: Edizioni Efesto.SmolinskyL.LercherA.2019National Research Council's bibliometric methodology and subfields of a scientific disciplineInCatalanoG.DaraioC.GregoriM.MoedH.F.RuoccoG.(Eds),In Proceedings of the 17th Conference of the International Society for Scientometrics and Informetrics26842685Rome, ItalyEdizioni EfestoSearch in Google Scholar
Smolinsky, L., & Lercher, A. (2012). Citation rates in mathematics: A study of variation by subdiscipline. Scientometrics, 91(3), 911–924.SmolinskyL.LercherA.2012Citation rates in mathematics: A study of variation by subdisciplineScientometrics91391192410.1007/s11192-012-0647-3Search in Google Scholar
van Eck, N.J., Waltman, L., van Raan, A.F.J., Klautz, R.J.M., & Peul, W.C. (2013). Citation analysis may severely underestimate the impact of clinical research as compared to basic research. PLOS One, 8(4). https://doi.org/10.1371/journal.pone.0062395.van EckN.J.WaltmanL.van RaanA.F.J.KlautzR.J.M.PeulW.C.2013Citation analysis may severely underestimate the impact of clinical research as compared to basic researchPLOS One84https://doi.org/10.1371/journal.pone.006239510.1371/journal.pone.0062395363477623638064Search in Google Scholar
Walters, W.H. (2014). Do article influence scores overestimate the citation impact of social science journals in subfields that are related to higher-impact natural science disciplines? Journal of Informetrics, 8(2), 421–430. https://doi.org/10.1016/j.joi.2014.02.001.WaltersW.H.2014Do article influence scores overestimate the citation impact of social science journals in subfields that are related to higher-impact natural science disciplines?Journal of Informetrics82421430https://doi.org/10.1016/j.joi.2014.02.00110.1016/j.joi.2014.02.001Search in Google Scholar
Zhu, Y., & Yan, E. (2015). Dynamic subfield analysis of disciplines: An examination of the trading impact and knowledge diffusion patterns of computer science. Scientometrics, 104(1), 335–359. https://doi.org/10.1007/s11192-015-1594-6.ZhuY.YanE.2015Dynamic subfield analysis of disciplines: An examination of the trading impact and knowledge diffusion patterns of computer scienceScientometrics1041335359https://doi.org/10.1007/s11192-015-1594-610.1007/s11192-015-1594-6Search in Google Scholar
