Bibliometric statistical properties of the 100 largest European research universities: Prevalent scaling rules in the science system

[1]  Anthony F. J. van Raan,et al.  Statistical properties of bibliometric indicators: Research group indicator distributions and correlations , 2006, J. Assoc. Inf. Sci. Technol..

[2]  M. Westoby,et al.  Bivariate line‐fitting methods for allometry , 2006, Biological reviews of the Cambridge Philosophical Society.

[3]  Per Ottar Seglen,et al.  Causal relationship between article citedness and journal impact , 1994 .

[4]  Anthony F. J. van Raan,et al.  Performance-related differences of bibliometric statistical properties of research groups: Cumulative advantages and hierarchically layered networks , 2006 .

[5]  A. V. van Raan,et al.  Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods , 2005 .

[6]  Anthony F. J. van Raan,et al.  Advanced bibliometric methods as quantitative core of peer review based evaluation and foresight exercises , 1996, Scientometrics.

[7]  R. Merton.  The Matthew Effect in Science , 1968, Science.

[8]  A. Raan.  Measuring Science: Capita Selecta of Current Main Issues , 2004 .

[9]  Henk F. Moed,et al.  Bibliometric Rankings of World Universities , 2006 .

[10]  R. Merton.  The Matthew Effect in Science, II: Cumulative Advantage and the Symbolism of Intellectual Property , 1988, Isis.

[11]  Per O. Seglen,et al.  The Skewness of Science , 1992, J. Am. Soc. Inf. Sci..

[12]  Anthony F. J. van Raan,et al.  Measurement of Central Aspects of Scientific Research: Performance, Interdisciplinarity, Structure , 2005 .

[13]  L. Amaral,et al.  Challenges in Ranking of Universities , 2005 .