On determinants of citation scores: a case study in chemical engineering
Journal of the American Society for Information Science
Citation-based auditing of academic performance
Journal of the American Society for Information Science
Information Processing and Management: an International Journal
Major Information Visualization Authors, Papers and Topics in the ACM Library
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Complexity - Understanding Complex Systems: Part II
Annual Review of Information Science and Technology
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We propose a model to analyze citation growth and influences of fitness (competitiveness) factors in an evolving citation network. Applying the proposed method to modeling citations to papers and scholars in the InfoVis 2004 data, a benchmark collection about a 31-year history of information visualization, leads to findings consistent with citation distributions in general and observations of the domain in particular. Fitness variables based on prior impacts and the time factor have significant influences on citation outcomes. We find considerably large effect sizes from the fitness modeling, which suggest inevitable bias in citation analysis due to these factors. While raw citation scores offer little insight into the growth of InfoVis, normalization of the scores by influences of time and prior fitness offers a reasonable depiction of the field's development. The analysis demonstrates the proposed model's ability to produce results consistent with observed data and to support meaningful comparison of citation scores over time.