Process / pipelineresearch-impact-metrics

Citation Analysis

Citation analysis is the systematic study of how scholarly works are cited by subsequent research, used as a proxy for research impact and influence. Founded formally by Eugene Garfield in 1955 (introducing citation indexes), the field encompasses metrics ranging from simple citation counts to sophisticated indices like the H-index (Hirsch, 2005) and field-normalized indicators. Citation analysis is used to evaluate researcher productivity, track influence of ideas, assess journal quality, and detect research trends. While citation counts are not perfect measures of quality (high citation does not equal high quality; time lag in citation accumulation), they provide valuable quantitative data for research evaluation alongside peer review and expert assessment.

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Sources

  1. Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572. DOI: 10.1073/pnas.0507655102
  2. Garfield, E. (1955). Citation indexes for science: A new dimension of bibliographic information. Science, 122(3159), 108–111. DOI: 10.1126/science.122.3159.108
  3. Egger, M., Davey Smith, G., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315(7109), 629–634. DOI: 10.1136/bmj.315.7109.629

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Referenced by

ScholarGateCitation Analysis (Systematic Analysis of Citation Patterns and Research Impact). Retrieved 2026-06-04 from https://scholargate.app/en/research-skills/citation-analysis