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    Michael Schreiber, How to improve the outcome of performance evaluations in terms of percentiles for citation frequencies of my papers, Journal of Informetrics, 2014, 8, 4, 873

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  2. 2
    Michael Schreiber, Is the new citation-rank approach P100′ in bibliometrics really new?, Journal of Informetrics, 2014, 8, 4, 997

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  3. 3
    Michael Schreiber, Empirical evidence for the relevance of fractional scoring in the calculation of percentile rank scores, Journal of the American Society for Information Science and Technology, 2013, 64, 4
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    Lutz Bornmann, Werner Marx, How good is research really?, EMBO reports, 2013, 14, 3
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    Michael Schreiber, How much do different ways of calculating percentiles influence the derived performance indicators? A case study, Scientometrics, 2013, 97, 3, 821

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  6. 6
    Lutz Bornmann, How to analyze percentile citation impact data meaningfully in bibliometrics: The statistical analysis of distributions, percentile rank classes, and top-cited papers, Journal of the American Society for Information Science and Technology, 2013, 64, 3
  7. 7
    Michael Schreiber, Uncertainties and ambiguities in percentiles and how to avoid them, Journal of the American Society for Information Science and Technology, 2013, 64, 3
  8. 8
    Lutz Bornmann, Loet Leydesdorff, Jian Wang, Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P100), Journal of Informetrics, 2013, 7, 4, 933

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