Coherent measures of the impact of co-authors in peer review journals and in proceedings publications

This paper focuses on the coauthor effect in different types of publications, usually not equally respected in measuring research impact. A priori unexpected relationships are found between the total coauthor core value, ma, of a leading investigator (LI), and the related values for their publications in either peer review journals (j) or in proceedings (p). A surprisingly linear relationship is found: ma(j)+0.4ma(p)=ma(jp). Furthermore, another relationship is found concerning the measure of the total number of citations, Aa, i.e. the surface of the citation size-rank histogram up to ma. Another linear relationship exists : Aa(j)+1.36Aa(p)=Aa(jp). These empirical findings coefficients (0.4 and 1.36) are supported by considerations based on an empirical power law found between the number of joint publications of an author and the rank of a coauthor. Moreover, a simple power law relationship is found between ma and the number (rM) of coauthors of an LI: ma≃rMμ; the power law exponent μ depends on the type (j or p) of publications. These simple relations, at this time limited to publications in physics, imply that coauthors are a “more positive measure” of a principal investigator role, in both types of scientific outputs, than the Hirsch index could indicate. Therefore, to scorn upon co-authors in publications, in particular in proceedings, is incorrect. On the contrary, the findings suggest an immediate test of coherence of scientific authorship in scientific policy processes.

[1]  Cosma Shalizi,et al.  Modeling Complex Systems , 2005 .

[2]  J. Rojo,et al.  Heavy‐tailed densities , 2013 .

[3]  Haroldo V. Ribeiro,et al.  Universal patterns in sound amplitudes of songs and music genres , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[4]  S. Fortunato,et al.  Statistical physics of social dynamics , 2007, 0710.3256.

[5]  Serge Galam,et al.  Tailor based allocations for multiple authorship: a fractional gh-index , 2010, Scientometrics.

[6]  Marcel Ausloos,et al.  A scientometrics law about co-authors and their ranking: the co-author core , 2012, Scientometrics.

[7]  K. McDonald Too Many Co-Authors?. , 1995 .

[8]  D. Sornette Critical Phenomena in Natural Sciences: Chaos, Fractals, Selforganization and Disorder: Concepts and Tools , 2000 .

[9]  Olle Persson,et al.  Studying research collaboration using co-authorships , 1996, Scientometrics.

[10]  Ali S. Hadi,et al.  Detection of outliers , 2009 .

[11]  Hildrun Kretschmer,et al.  Cooperation structure, group size and productivity in research groups , 2005, Scientometrics.

[12]  Francisco Herrera,et al.  h-Index: A review focused in its variants, computation and standardization for different scientific fields , 2009, J. Informetrics.

[13]  Bihui Jin The AR-index: complementing the h-index , 2007 .

[14]  Paul Nicholls,et al.  Introduction to informetrics: Quantitative methods in library, documentation and information science , 1991 .

[15]  Jean Tague-Sutcliffe,et al.  An Introduction to Informetrics , 1992, Inf. Process. Manag..

[16]  G. Laudel What do we measure by co-authorships? , 2002 .

[17]  L. S. Kwok,et al.  The White Bull effect: abusive coauthorship and publication parasitism , 2005, Journal of Medical Ethics.

[18]  Alesia Zuccalá,et al.  Modeling the invisible college , 2006, J. Assoc. Inf. Sci. Technol..

[19]  R. Slone Coauthors' contributions to major papers published in the AJR: frequency of undeserved coauthorship. , 1996, AJR. American journal of roentgenology.

[20]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[21]  Jorge E. Hirsch,et al.  An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship , 2009, Scientometrics.

[22]  Hildrun Kretschmer,et al.  Coauthorship networks of invisible colleges and institutionalized communities , 1994, Scientometrics.

[23]  Anomalous diffusion in the evolution of soccer championship scores: real data, mean-field analysis, and an agent-based model. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[24]  HsiuJu Rebecca Yen,et al.  Quantifying the degree of research collaboration: A comparative study of collaborative measures , 2012, J. Informetrics.

[25]  Ronald Rousseau,et al.  New developments related to the Hirsch index , 2006 .

[26]  Hassan Bougrine,et al.  Subfield effects on the core of coauthors , 2013, Scientometrics.

[27]  J. E. Hirsch,et al.  An index to quantify an individual's scientific research output , 2005, Proc. Natl. Acad. Sci. USA.

[28]  Barry Bozeman,et al.  The Impact of Research Collaboration on Scientific Productivity , 2005 .

[29]  Marcel Ausloos Binary scientific star coauthors core size , 2014, Scientometrics.

[30]  Wolfgang Glänzel,et al.  Inflationary bibliometric values: The role of scientific collaboration and the need for relative indicators in evaluative studies , 2004, Scientometrics.

[31]  M. Schreckenberg Modeling Complex Systems , 2004 .

[32]  Janusz Miskiewicz,et al.  Effects of Publications in Proceedings on the Measure of the Core Size of Coauthors , 2013, ArXiv.

[33]  Leo Egghe,et al.  Introduction to Informetrics: Quantitative Methods in Library, Documentation and Information Science , 1990 .

[34]  Grégoire Nicolis,et al.  Foundations of Complex Systems , 2009, European Review.

[35]  Marcel Ausloos,et al.  Self-citations networks as traces of scientific careers , 2007 .

[36]  R. Rousseau,et al.  The R- and AR-indices: Complementing the h-index , 2007 .

[37]  Jörn Altmann,et al.  Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures , 2011, J. Informetrics.

[38]  L. Egghe Power Laws in the Information Production Process: Lotkaian Informetrics , 2005 .

[39]  Sauro Succi,et al.  Statistical regularities in the rank-citation profile of scientists , 2011, Scientific reports.