Cumulative Advantage in Scientific Visibility: Citation Performance of Repeat Authors in Economics Journals

Cumulative advantage – commonly known as the Matthew Effect – influences scientific output and careers. Given the challenge and uncertainty of gauging the quality of new scientific research, evaluators and gatekeepers often possess incentives to prefer the work of established scientists. Such preferences breach scientific norms of fairness and can stifle innovation. This article analyzes repeat authors as an exemplar of the Matthew Effect. Although a scientist publishing in the same journal multiple times is rare within individual careers, the phenomenon is relatively common at the level of scientific journals. Using publication data for 347 economics journals from 1980-2016, we analyze whether articles written by repeat authors tend to fare better or worse than less-experienced authors. Ordinary Least Squares models show a curvilinear (inverted U-shaped) relationship between repeat authorship and citation impact. In these models, citation impact peaks at the fourth repeat publication, suggesting both liabilities of newness and liabilities of senescence in science. Fixed effects models show that within individual scientific careers, authors tend to be most impactful with their debut publication, then experience declining impact with each subsequent repeat authorship. Implications for innovation incentives for scientists and gatekeepers alike are discussed.

[1]  Katherine W. McCain,et al.  How influential is Brooks’ Law? A longitudinal citation context analysis of Frederick Brooks’ The Mythical Man-Month , 2006, J. Inf. Sci..

[2]  Erin E Leahey,et al.  The role of status in evaluating research: the case of data editing , 2004 .

[3]  Ronald J. Daniels,et al.  A generation at risk: Young investigators and the future of the biomedical workforce , 2015, Proceedings of the National Academy of Sciences.

[4]  M. Rossiter The Matthew Matilda Effect in Science , 1993 .

[5]  Danielle Li Expertise versus Bias in Evaluation: Evidence from the NIH , 2017 .

[6]  Cassidy R. Sugimoto,et al.  Bibliometrics: Global gender disparities in science , 2013, Nature.

[7]  Daniel A. Levinthal,et al.  Exploration and Exploitation in Organizational Learning , 2007 .

[8]  Stefano Allesina,et al.  Supplemental Materials for : And , not Or : Quality , Quantity in Scientific Publishing , 2017 .

[9]  Matthew J. Salganik,et al.  Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market , 2006, Science.

[10]  David Strang,et al.  Peer Review and Scholarly Originality , 2017 .

[11]  Benjamin F. Jones Age and Great Invention , 2004 .

[12]  E. Wager,et al.  Too much of a good thing? An observational study of prolific authors , 2015, PeerJ.

[13]  Francisco Grimaldo Moreno,et al.  Hidden connections: Network effects on editorial decisions in four computer science journals , 2018, J. Informetrics.

[14]  Pino G. Audia,et al.  Past Success and Creativity over Time: A Study of Inventors in the Hard Disk Drive Industry , 2007, Manag. Sci..

[15]  Marion Fourcade,et al.  The Superiority of Economists , 2015 .

[16]  Karim R. Lakhani,et al.  Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance, Novelty, and Resource Allocation in Science , 2016, Manag. Sci..

[17]  Craig R. Fox,et al.  Ambiguity Aversion and Comparative Ignorance , 1995 .

[18]  Freda B. Lynn Diffusing through Disciplines: Insiders, Outsiders, and Socially Influenced Citation Behavior , 2014 .

[19]  Vincent Larivière,et al.  The weakening relationship between the impact factor and papers' citations in the digital age , 2012, J. Assoc. Inf. Sci. Technol..

[20]  Helena C. Kraemer,et al.  Do we really want more “reliable” reviewers? , 1991, Behavioral and Brain Sciences.

[21]  David N. Laband,et al.  Favoritism versus Search for Good Papers: Empirical Evidence Regarding the Behavior of Journal Editors , 1994, Journal of Political Economy.

[22]  Joel Podolny,et al.  Organizing Contests for Status: The Matthew Effect vs. the Mark Effect , 2011, Manag. Sci..

[23]  Dean Keith Simonton,et al.  Creative productivity: A predictive and explanatory model of career trajectories and landmarks. , 1997 .

[24]  Marshall H. Medoff,et al.  Editorial Favoritism in Economics , 2003 .

[25]  Y. Gingras,et al.  The Effects of Aging on Researchers' Publication and Citation Patterns , 2008, PloS one.

[26]  Jian Wang,et al.  Bias Against Novelty in Science: A Cautionary Tale for Users of Bibliometric Indicators , 2015 .

[27]  Joseph Engelberg,et al.  Networks and Productivity: Causal Evidence from Editor Rotations , 2012 .

[28]  Andrei Cimpian,et al.  Expectations of brilliance underlie gender distributions across academic disciplines , 2015, Science.

[29]  Thomas Heinze,et al.  New patterns of scientific growth: How research expanded after the invention of scanning tunneling microscopy and the discovery of Buckminsterfullerenes , 2013, J. Assoc. Inf. Sci. Technol..

[30]  J. March,et al.  Managerial perspectives on risk and risk taking , 1987 .

[31]  J. S. Long,et al.  Scientific Careers: Universalism and Particularism , 1995 .

[32]  Howard E. Aldrich,et al.  Even Dwarfs Started Small: Liabilities of Age and Size and Their Strategic Implications , 1986 .

[33]  A. Barabasi,et al.  Quantifying the evolution of individual scientific impact , 2016, Science.

[34]  R. Pieters,et al.  Who talks to whom? Intra-and interdisciplinary communication of economics journals , 2002 .

[35]  T. Gieryn Boundary-work and the demarcation of science from non-science: Strains and interests in professional , 1983 .

[36]  M. Mahoney Publication prejudices: An experimental study of confirmatory bias in the peer review system , 1977, Cognitive Therapy and Research.

[37]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[38]  Vincent Larivière,et al.  Impact Factor : A brief history , critique , and discussion of adverse effects , 2018 .

[39]  Daniel Sarewitz,et al.  The pressure to publish pushes down quality , 2016, Nature.

[40]  Clark McPhail,et al.  The Manuscript Review and Decision-Making Process , 1987 .

[41]  Donna K. Ginther,et al.  Women in Economics: Moving Up or Falling Off the Academic Career Ladder? , 2004 .

[42]  S. Ceci,et al.  Peer-review practices of psychological journals: The fate of published articles, submitted again , 1982, Behavioral and Brain Sciences.

[43]  Kim A. Weeden,et al.  Doctorates by Field and Program Prestige , 2017 .

[44]  Joel A. C. Baum The excess-tail ratio: correcting journal impact factors for citation distributions , 2013 .

[45]  Murray S. Davis,et al.  That's Interesting! , 1971 .

[46]  Lutz Bornmann,et al.  What do citation counts measure? A review of studies on citing behavior , 2008, J. Documentation.

[47]  D F Horrobin,et al.  The philosophical basis of peer review and the suppression of innovation. , 1990, JAMA.

[48]  Pierre Azoulay,et al.  Matthew: Effect or Fable? , 2012, Manag. Sci..

[49]  B. Frey,et al.  Ranking Games , 2015, Evaluation review.

[50]  Alfred J. Lotka,et al.  The frequency distribution of scientific productivity , 1926 .

[51]  R. Burt THE GENDER OF SOCIAL CAPITAL , 1998 .

[52]  George J. Borjas,et al.  Prizes and Productivity , 2015, The Journal of Human Resources.

[53]  Burt V. Bronk,et al.  Hierarchy of sciences , 1977 .

[54]  Ohid Yaqub,et al.  Serendipity: Towards a Taxonomy and a Theory , 2016 .

[55]  J. M. Beyer,et al.  The Review Process and the Fates of Manuscripts Submitted to AMJ , 1995 .

[56]  Joseph C. Hermanowicz Scientists and Satisfaction , 2003 .

[57]  Harold Maurice Collins,et al.  New Light on Old Boys: Cognitive and Institutional Particularism in the Peer Review System , 1991 .

[58]  Erin Hengel,et al.  Publishing while Female. Are women held to higher standards? Evidence from peer review. , 2017 .

[59]  V. Larivière,et al.  How Many Is Too Many? On the Relationship between Research Productivity and Impact , 2016, PloS one.