Modeling the probabilistic distribution of the impact factor
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DOI: 10.1016/j.joi.2011.09.005
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Cited by:
- Unnikrishnan Nair, N. & Vineshkumar, B., 2022. "Modelling informetric data using quantile functions," Journal of Informetrics, Elsevier, vol. 16(2).
- Mrowinski, Maciej J. & Gagolewski, Marek & Siudem, Grzegorz, 2022. "Accidentality in journal citation patterns," Journal of Informetrics, Elsevier, vol. 16(4).
- Brzezinski, Michal, 2014.
"Empirical modeling of the impact factor distribution,"
Journal of Informetrics, Elsevier, vol. 8(2), pages 362-368.
- Michał Brzeziński, 2014. "Empirical modeling of the impact factor distribution," Working Papers 2014-01, Faculty of Economic Sciences, University of Warsaw.
- Cerovšek, Tomo & Mikoš, Matjaž, 2014. "A comparative study of cross-domain research output and citations: Research impact cubes and binary citation frequencies," Journal of Informetrics, Elsevier, vol. 8(1), pages 147-161.
- Richard S.J. Tol, 2013. "Measuring catch-up growth in malnourished populations," Working Paper Series 6013, Department of Economics, University of Sussex Business School.
- Bertoli-Barsotti, Lucio & Lando, Tommaso, 2019. "How mean rank and mean size may determine the generalised Lorenz curve: With application to citation analysis," Journal of Informetrics, Elsevier, vol. 13(1), pages 387-396.
- Alina MOROSANU, 2013. "Empirical Study Of Different Factors Effects On Articles Publication Regarding Survey Interviewer Characteristics Using Multilevel Regression Model," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(1), pages 141-156, May.
- Tol, Richard S.J., 2013. "Identifying excellent researchers: A new approach," Journal of Informetrics, Elsevier, vol. 7(4), pages 803-810.
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Keywords
Impact factor; Quantile function; Moments; Lorenz andLeimkuhler curves; Gini index; Least squares estimates;All these keywords.
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