An analysis of computer science education publication using Lotka's law

Authors:
Christopher R. Merlo;Joan M. Merlo;Lori Hoeffner;Richard Moscatelli
Affiliations:
Nassau Community College, Garden City, NY;Molloy College, Rockville Centre, NY;Adelphi University, Garden City, NY;Nassau Community College, Garden City, NY
Venue:
Journal of Computing Sciences in Colleges
Year:
2011

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Abstract

This study helps to determine what information is shared among Computer Science educators, and how that information is shared, so that we may better prepare our students to identify emerging trends in the discipline. An analysis of publication activity through the use of bibliometric and other techniques is presented. Productivity of first authors in the field of Computer Science Education is considered. Publication data from five leading journals in Computer Science Education (n = 5,274 articles) were analyzed using Lotka's Law (1926). Results indicate that the productivity distribution of first authors is inconsistent with Lotka's distribution. Conclusions are presented about Computer Science Education research trends, and about future research paths.