Process / pipelineReview / evidence synthesis

Time-sliced Thematic Evolution Analysis — Longitudinal Science Mapping

Time-sliced thematic evolution analysis is a bibliometric method that divides a corpus of publications into consecutive time windows and tracks how research themes emerge, consolidate, split, merge, or disappear across those periods. By applying co-word analysis and strategic-diagram mapping within each slice and then linking themes across slices, it reveals the intellectual trajectory of a research field over time.

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Sources

  1. Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. DOI: 10.1002/asi.21525
  2. Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609–1630. DOI: 10.1002/asi.22688

Related methods

ScholarGateTime-sliced Thematic Evolution Analysis (Time-sliced Thematic Evolution Analysis in Bibliometrics). Retrieved 2026-06-04 from https://scholargate.app/en/scientometrics/time-sliced-thematic-evolution-analysis