This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Alsmadi, I., & Taylor, Z. (2018). Examining university ranking metrics: Articulating issues of size and web dependency. In Proceedings of the 2018 International Conference on Computing and Big Data (ICCBD ’18). Association for Computing Machinery, New York, NY, USA, 73–77. doi: https://doi.org/10.1145/3277104.3277111AlsmadiI.TaylorZ.2018Examining university ranking metrics: Articulating issues of size and web dependencyIn Proceedings of the 2018 International Conference on Computing and Big Data (ICCBD ’18)Association for Computing Machinery, New York, NY, USA7377https://doi.org/10.1145/3277104.3277111Open DOISearch in Google Scholar
Anderson, J., Collins, P.M.D., Irvine, J., Isard, P.A., Martin, B.R., Narin, F., & Stevens, K. (1988). On-line approaches to measuring national scientific output: A cautionary tale. Science and Public Policy 15(3), 153–161.AndersonJ.CollinsP.M.D.IrvineJ.IsardP.A.MartinB.R.NarinF.StevensK.1988On-line approaches to measuring national scientific output: A cautionary taleScience and Public Policy153153161Search in Google Scholar
Bornmann, L., & Leydesdorff, L. (2013). The validation of (advanced) bibliometric indicators through peer assessments: A comparative study using data from InCites and F1000. Journal of Informetrics, 7(2), 286–291.BornmannL.LeydesdorffL.2013The validation of (advanced) bibliometric indicators through peer assessments: A comparative study using data from InCites and F1000Journal of Informetrics7228629110.1016/j.joi.2012.12.003Search in Google Scholar
Bornmann, L., & Mutz, R. (2011). Further steps towards an ideal method of measuring citation performance: The avoidance of citation (ratio) averages in field-normalization. Journal of Informetrics, 5(1), 228–230.BornmannL.MutzR.2011Further steps towards an ideal method of measuring citation performance: The avoidance of citation (ratio) averages in field-normalizationJournal of Informetrics5122823010.1016/j.joi.2010.10.009Search in Google Scholar
Bourdieu, P. (1998). The state nobility: Elite schools in the field of power. Stanford University Press.BourdieuP.1998The state nobility: Elite schools in the field of powerStanford University PressSearch in Google Scholar
Bowman, N.A., & Bastedo, M.N. (2011). Anchoring effects in world university rankings: Exploring biases in reputation scores. Higher Education, 61(4), 431–444.BowmanN.A.BastedoM.N.2011Anchoring effects in world university rankings: Exploring biases in reputation scoresHigher Education61443144410.1007/s10734-010-9339-1Search in Google Scholar
Brewer, D.J., Gates, S.M., & Goldman, C.A. (2001). In Pursuit of Prestige: Strategy and Competition in U.S. Higher Education. Piscataway, NJ: Transaction Publishers, Rutgers University.BrewerD.J.GatesS.M.GoldmanC.A.2001In Pursuit of Prestige: Strategy and Competition in U.S. Higher EducationPiscataway, NJTransaction Publishers, Rutgers UniversitySearch in Google Scholar
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.CohenJ.1988Statistical Power Analysis for the Behavioral Sciences2nd ed.Hillsdale, NJLawrence ErlbaumSearch in Google Scholar
Colliander, C., & Ahlgren, P. (2011). The effects and their stability of field normalization baseline on relative performance with respect to citation impact: A case study of 20 natural science departments. Journal of Informetrics, 5(1), 101–113.CollianderC.AhlgrenP.2011The effects and their stability of field normalization baseline on relative performance with respect to citation impact: A case study of 20 natural science departmentsJournal of Informetrics5110111310.1016/j.joi.2010.09.003Search in Google Scholar
Cumming, G. (2013). Understanding the New Statistics: Effect sizes, confidence intervals, and meta-analysis. New York, NY/Hove, East Sussex, UK: Routledge.CummingG.2013Understanding the New Statistics: Effect sizes, confidence intervals, and meta-analysisNew York, NY/Hove, East Sussex, UKRoutledge10.4324/9780203807002Search in Google Scholar
DiMaggio, P.J., & Powell, W.W. (1983). The Iron Cage Revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48, 147–160.DiMaggioP.J.PowellW.W.1983The Iron Cage Revisited: Institutional isomorphism and collective rationality in organizational fieldsAmerican Sociological Review4814716010.2307/j.ctv1f886rp.7Search in Google Scholar
Garfield, E. (1971). The mystery of the transposed journal lists—wherein Bradford’s Law of Scattering is generalized according to Garfield’s Law of Concentration. Current Contents, 3(33), 5–6.GarfieldE.1971The mystery of the transposed journal lists—wherein Bradford’s Law of Scattering is generalized according to Garfield’s Law of ConcentrationCurrent Contents33356Search in Google Scholar
Gingras, Y. (2016). Bibliometrics and research evaluation: An overview. Cambridge MA: MIT Press.GingrasY.2016Bibliometrics and research evaluation: An overviewCambridge MAMIT Press10.7551/mitpress/10719.001.0001Search in Google Scholar
Halffman, W., & Leydesdorff, L. (2010). Is Inequality Among Universities Increasing? Gini Coefficients and the Elusive Rise of Elite Universities. Minerva, 48(1), 55–72.HalffmanW.LeydesdorffL.2010Is Inequality Among Universities Increasing? Gini Coefficients and the Elusive Rise of Elite UniversitiesMinerva481557210.1007/s11024-010-9141-3285052520401157Search in Google Scholar
Heilbron, J., Boncourt, T., & Sorá, G. (2018). Introduction: The Social and Human Sciences in Global Power Relations. In The Social and Human Sciences in Global Power Relations (pp. 1–25). Pal. grave Macmillan, Cham.HeilbronJ.BoncourtT.SoráG.2018Introduction: The Social and Human Sciences in Global Power RelationsIn The Social and Human Sciences in Global Power Relations125Pal. grave Macmillan, Cham.10.1007/978-3-319-73299-2_1Search in Google Scholar
Leydesdorff, L., & Wagner, C. (2009). Macro-level indicators of the relations between research funding and research output. Journal of Informetrics, 3(4), 353–362. doi: 10.1016/j.joi.2009.05.005LeydesdorffL.WagnerC.2009Macro-level indicators of the relations between research funding and research outputJournal of Informetrics3435336210.1016/j.joi.2009.05.005Open DOISearch in Google Scholar
Leydesdorff, L., Bornmann, L., & Mingers, J. (2019). Statistical significance and effect sizes of differences among research universities at the level of nations and worldwide based on the leiden rankings. Journal of the Association for Information Science and Technology, 70(5), 509–525.LeydesdorffL.BornmannL.MingersJ.2019Statistical significance and effect sizes of differences among research universities at the level of nations and worldwide based on the leiden rankingsJournal of the Association for Information Science and Technology70550952510.1002/asi.24130Search in Google Scholar
Leydesdorff, L., Bornmann, L., Mutz, R., & Opthof, T. (2011). Turning the Tables on Citation Analysis One More Time: Principles for Comparing Sets of Documents. Journal of the American Society for Information Science and Technology, 62(7), 1370–1381.LeydesdorffL.BornmannL.MutzR.OpthofT.2011Turning the Tables on Citation Analysis One More Time: Principles for Comparing Sets of DocumentsJournal of the American Society for Information Science and Technology6271370138110.1002/asi.21534Search in Google Scholar
Leydesdorff, L., Wouters, P., & Bornmann, L. (2016). Professional and citizen bibliometrics: Complementarities and ambivalences in the development and use of indicators-a state-of-theart report. Scientometrics, 109(3), 2129–2150.LeydesdorffL.WoutersP.BornmannL.2016Professional and citizen bibliometrics: Complementarities and ambivalences in the development and use of indicators-a state-of-theart reportScientometrics10932129215010.1007/s11192-016-2150-8512404427942086Search in Google Scholar
McAllister, P.R., Narin, F., & Corrigan, J.G. (1983). Programmatic Evaluation and Comparison Based on Standardized Citation Scores. IEEE Transactions on Engineering Management, 30(4), 205–211.McAllisterP.R.NarinF.CorriganJ.G.1983Programmatic Evaluation and Comparison Based on Standardized Citation ScoresIEEE Transactions on Engineering Management30420521110.1109/TEM.1983.6448622Search in Google Scholar
Peters, M.A. (2017). Global university rankings: Metrics, performance, governance. Educational Philosophy & Theory, 51(1), 1–9.PetersM.A.2017Global university rankings: Metrics, performance, governanceEducational Philosophy & Theory5111910.1080/00131857.2017.1381472Search in Google Scholar
Schneider, J. (2015). Null hypothesis significance tests. A mix-up of two different theories: The basis for widespread confusion and numerous misinterpretations. Scientometrics, 102(1), 411–432.SchneiderJ.2015Null hypothesis significance tests. A mix-up of two different theories: The basis for widespread confusion and numerous misinterpretationsScientometrics102141143210.1007/s11192-014-1251-5Search in Google Scholar
Sheskin, D.J. (2011). Handbook of Parametric and Nonparametric Statistical Procedures (5th Edition). Boca Raton, FL: Chapman & Hall/CRC.SheskinD.J.2011Handbook of Parametric and Nonparametric Statistical Procedures5th EditionBoca Raton, FLChapman & Hall/CRCSearch in Google Scholar
Shin, J.C., Toutkoushian, R.K., & Teichler, U. (2011). University Rankings: Theoretical Basis, Methodology and Impacts on Global Higher Education. Dordrecht: Springer.ShinJ.C.ToutkoushianR.K.TeichlerU.2011University Rankings: Theoretical Basis, Methodology and Impacts on Global Higher EducationDordrechtSpringer10.1007/978-94-007-1116-7Search in Google Scholar
Sivertsen, G. (2016). Patterns of internationalization and criteria for research assessment in the social sciences and humanities. Scientometrics, 107(2), 357–368.SivertsenG.2016Patterns of internationalization and criteria for research assessment in the social sciences and humanitiesScientometrics107235736810.1007/s11192-016-1845-1483382227122643Search in Google Scholar
Sivertsen, G., Rousseau, R., & Zhang, L. (2019). Measuring scientific contributions with modified fractional counting. Journal of Informetrics, 13(2), 679–694.SivertsenG.RousseauR.ZhangL.2019Measuring scientific contributions with modified fractional countingJournal of Informetrics13267969410.1016/j.joi.2019.03.010Search in Google Scholar
Tijssen, R.J.W., Visser, M.S., & van Leeuwen, T.N. (2002). Benchmarking international scientific excellence: Are highly cited research papers an appropriate frame of reference? Scientometrics, 54(3), 381–397.TijssenR.J.W.VisserM.S.van LeeuwenT.N.2002Benchmarking international scientific excellence: Are highly cited research papers an appropriate frame of reference?Scientometrics54338139710.1023/A:1016082432660Search in Google Scholar
van Raan, A.F.J., van Leeuwen, T.N., Visser, M.S., van Eck, N.J., & Waltman, L. (2010). Rivals for the crown: Reply to Opthof and Leydesdorff. Journal of Informetrics, 4(3), 431–435.van RaanA.F.J.van LeeuwenT.N.VisserM.S.van EckN.J.WaltmanL.2010Rivals for the crown: Reply to Opthof and LeydesdorffJournal of Informetrics4343143510.1016/j.joi.2010.03.008Search in Google Scholar
Waltman, L. (2016). Conceptual difficulties in the use of statistical inference in citation analysis. Journal of Informetrics, 4(10), 1249–1252.WaltmanL.2016Conceptual difficulties in the use of statistical inference in citation analysisJournal of Informetrics4101249125210.1016/j.joi.2016.09.012Search in Google Scholar
Waltman, L., Calero-Medina, C., Kosten, J., Noyons, E., Tijssen, R.J., Eck, N.J., . . . Wouters, P. (2012). The Leiden Ranking 2011/2012: Data collection, indicators, and interpretation. Journal of the American Society for Information Science and Technology, 63(12), 2419–2432.WaltmanL.Calero-MedinaC.KostenJ.NoyonsE.TijssenR.J.EckN.J.WoutersP.2012The Leiden Ranking 2011/2012: Data collection, indicators, and interpretationJournal of the American Society for Information Science and Technology63122419243210.1002/asi.22708Search in Google Scholar
Waltman, L., Van Eck, N.J., Van Leeuwen, T.N., Visser, M.S., & Van Raan, A.F.J. (2011). Towards a New Crown Indicator: Some Theoretical Considerations. Journal of Informetrics, 5(1), 37–47.WaltmanL.Van EckN.J.Van LeeuwenT.N.VisserM.S.Van RaanA.F.J.2011Towards a New Crown Indicator: Some Theoretical ConsiderationsJournal of Informetrics51374710.1016/j.joi.2010.08.001Search in Google Scholar
Wasserstein, R.L., & Lazar, N.A. (2016). The ASA’s statement on p-values: Context, process, and purpose. The American Statistician, 70(2), 129–133.WassersteinR.L.LazarN.A.2016The ASA’s statement on p-values: Context, process, and purposeThe American Statistician70212913310.1080/00031305.2016.1154108Search in Google Scholar
Whitley, R.D. (1984). The Intellectual and Social Organization of the Sciences. Oxford: Oxford University Press.WhitleyR.D.1984The Intellectual and Social Organization of the SciencesOxfordOxford University PressSearch in Google Scholar