A Population-Modulated Bibliometric Measure with an Application in the Field of Statistics

Panaretos, John and Malesios, Chrisovaladis A Population-Modulated Bibliometric Measure with an Application in the Field of Statistics., 2009 [Preprint]


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English abstract

We use Confirmatory Factor Analysis (CFA) to derive a unifying measure of comparison of scientists based on bibliometric measurements, by utilizing the h-index, some similar h-type indices as well as other common measures of scientific performance. We use a real data example from nine well-known Departments of Statistics (Berkeley, Carnegie Mellon, Chicago, Duke, Harvard, Minnesota, Oxford, Stanford and Washington) to demonstrate our approach and argue that our combined measure results in a better overall evaluation of a researchers’ scientific work.

Item type: Preprint
Keywords: Citation metrics, Research output, h-index, h-type indices, Confirmatory Factor Analysis (CFA), Highly cited researchers
Subjects: B. Information use and sociology of information > BB. Bibliometric methods
B. Information use and sociology of information > BD. Information society.
Depositing user: John Panaretos
Date deposited: 31 Jul 2009
Last modified: 02 Oct 2014 12:14
URI: http://hdl.handle.net/10760/13394


[1] Adler, R., Ewing, J. and Taylor, P. (2008). Citation Statistics. Joint IMU/ICIAM/IMS-Committee on Quantitative Assessment of Research.

(available at: http://www.mathunion.org/fileadmin/IMU/Report/CitationStatistics.pdf)

[2] Anderson, T.W. and Rubin, H. (1956). Statistical Inference in Factor Analysis, in: Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability V, 111-150.

[3] Bartholomew, D. & Knott, M. (1999). Latent Variable Models and Factor Analysis, Arnold, London.

[4] Batista, P.D., Campiteli, M.G., Kinouchi, O. and Martinez, A.S. (2005). Universal behaviour of a research productivity index. arXiv: physics, v1, 1–5. (available at: http://arxiv.org/ftp/physics/papers/0509/0509048.pdf.).

[5] Benson, J. and Fleishman, J.A. (1994). The Robustness of Maximum Likelihood and Distribution-free Estimators to Non-normality in Confirmatory Factor Analysis. Quality & Quantity, 28, 117-136. (available at: http://dx.doi.org/10.1007/BF01102757)

[6] Bollen, J., Van de Sompel, H., Hagberg, A. and Chute, R. (2009). A Principal Component Analysis of 39 Scientific Impact Measures. CoRR, Vol. abs/0902.2183. (available at: http://arxiv.org/abs/0902.2183)

[7] Bornmann, L., Mutz, R. and Daniel, H.D. (2008a). Are There Better Indices for Evaluation Purposes than the h-index? A Comparison of Nine Different Variants of the h Index Using Data from Biomedicine. Journal of the American Society for Information Science and Technology, 59(5), 1-8. (available at: http://dx.doi.org/10.1002/asi.20806)

[8] Bornmann, L., Mutz, R. and Daniel, H.D. (2008b). Do we Need the H-index and its Variants Besides Standard Bibliometric Measures? (Accepted for publication in the Journal of the American Society for Information Science and Technology).

(available at: http://www.lutz-bornmann.de/icons/BornmannRevised3.pdf)

[9] Costas, R. and Bordons, M. (2007). The h-index: Advantages, Limitations and its Relation with Other Bibliometric Indicators at the Micro Level. Journal of Informetrics, 1, 193-203.

(available at: http://dx.doi.org/10.1016/j.joi.2007.02.001)

[10] Egghe, L. (2006a). How to improve the h-index. The Scientist, 20(3), 14.

(available at: http://www.accessmylibrary.com/coms2/summary_0286-14029249_ITM)

[11] Egghe, L. (2006b). An improvement of the H-index: the G-index. ISSI Newsletter, 2(1), 8-9.

(available at: https://wiki-sop.inria.fr/wiki/pub/Ce/IndicateurEvaluation/animprovement.pdf)

[12] Egghe, L. (2006c). Theory and practice of the g-index. Scientometrics, 69(1), 131-152. (available at: http://dx.doi.org/10.1007/s11192-006-0144-7)

[13] Egghe, L. (2007). From h to g: The evolution of citation indices. Research Trends, 1(1).

[14] Funkhouser, G.R. (1983). A Note on the Reliability of Certain Clustering Algorithms. Journal of Marketing Research, 20, 99- 102.

[15] Glanzel, W. (2006). On the h-index – A mathematical approach to a new

measure of publication activity and citation impact. Scientometrics, 67(2), 315-321.

(available at: http://www.citebase.org/fulltext?format=application%2Fpdf&identifier=oai%3Aeprints.rclis.org%3A9535)

[16] Hendrix, D.H. (2008). An Analysis of Bibliometric Indicators, National Institutes of Health Funding, and Faculty Size at Association of American Medical Colleges Medical Schools, 1997-2007. Journal of Medical Library Association, 96(4), 324-334.

(available at: http://dx.doi.org/10.3163/1536-5050.96.4.007)

[17] Hirsch, J.E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, USA, 102(46), 16569-16572.

(available at: http://arxiv.org/PS_cache/physics/pdf/0508/0508025v5.pdf)

[18] Horton, R.L. (1979). Some relationships between personality and consumer decision making. Journal of Marketing Research, 16, 233-246.

[19] Iglesias, J.E., and Pecharromán, C. (2007a). Scaling the h-index for Different Scientific ISI Fields. Scientometrics, 73(3), 303-320.

(available at: http://arxiv.org/ftp/physics/papers/0607/0607224.pdf)

[20] Jin, B-H., Liang, L., Rousseau, R. and Egghe, L. (2007). The R- and AR- indices: Complementing the h-index. Chinese Science Bulletin, 52, 855-863.

(available at: http://dx.doi.org/10.1007/s11434-007-0145-9)

[21] Jöreskog, K.G. (1969). A General Approach to Confirmatory Maximum Likelihood Factor Analysis. Psychometrika, 34, 183–202.

[22] Jöreskog, K.G. (1990). New Developments in LISREL: Analysis of Ordinal Variables Using Polychoric Correlations and Weighted Lest Squares. Quality & Quantity, 24, 387-404. (available at: http://dx.doi.org/10.1007/BF00152012)

[23] Jöreskog, K.G. (2000). Latent Variable Scores and Their Uses. Lincolnwood, IL: Scientific Software International

(available at: http://www.ssicentral.com/lisrel/corner.htm)

[24] Jöreskog, K.G & Sörbom, D. (1999). LISREL 8 User’s Reference Guide. Scientific Software International, Lincolnwood, IL.

[25] Kelly, C. D. and Jennions, M.D. (2006). The h index and career assessment by numbers. Trends in Ecology and Evolution, 21(4), 167–170.

(available at: http://dx.doi.org/10.1016/j.tree.2006.01.005)

[26] Mels, G. (2004). The Student Edition of LISREL 8.7 for Windows: Getting Started Guide Scientific Software International, Lincolnwood, IL.

[27] National Research Council (1995). National science education standards. Washington, DC: National Academy Press.

[28] Panaretos, J. and Malesios, C.C. (2008). Assessing scientific research performance and impact with single indices. Scientometrics (to appear). (available at: http://arxiv.org/ftp/arxiv/papers/0812/0812.4542.pdf)

[29] Publish or Perish User's Manual (2008). (available at: http://www.harzing.com/resources.htm#/pop.htm)

[30] Rousseau, R. (2006). Simple models and the corresponding h- and g-index. E-LIS: ID6153. (available at: http://eprints.rclis.org/archive/00006153/)

[31] Ryan, T.P. and Woodall, W.H. (2005). The most-Cited Statistical Papers. Journal of Applied Statistics, 32(5), 461-474.

(available at: http://www.biostat.jhsph.edu/~yonchen/most.cited.stat.papers.pdf)

[32] Sanderson, M. (2008). Revisiting h measured on UK LIS academics. Journal of the American Society for Information Science and Technology, 59(7), 1184-1190.

(available at: http://dx.doi.org/10.1002/asi.20771)

[33] Urban, J.L. and Hauser, J.R. (1980). Design and Marketing of New Products, Englewood Cliffs.

[34] Van Raan, A.F.J. (2006). Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups. Scientometrics, 67(3): 491-502. (available at: http://www.cwts.nl/cwts/Hirsch.pdf)


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