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Analisis Evolusi Tematik Berbasis Irisan Waktu×Analisis Sitometrik×
BidangSaintometrikaSaintometrika
KeluargaProcess / pipelineProcess / pipeline
Tahun asal2011–20121969 (term); 1963 (Price's foundational work)
PencetusCobo, López-Herrera, Herrera-Viedma & HerreraV. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods)
TipeLongitudinal bibliometric analysisQuantitative literature analysis
Sumber perintisCobo, 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 ↗Nalimov, V. V., & Mulchenko, Z. M. (1969). Naukometriya: Izucheniye razvitiya nauki kak informatsionnogo protsessa [Scientometrics: The Study of the Development of Science as an Information Process]. Nauka. link ↗
Aliaslongitudinal thematic mapping, temporal thematic evolution, time-period thematic analysis, diachronic science mappingscientometrics, science of science, quantitative science studies, research evaluation analysis
Terkait66
RingkasanTime-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.Scientometric analysis applies statistical and computational methods to publication and citation data to measure the growth, structure, and impact of scientific fields. Drawing on databases such as Web of Science, Scopus, or OpenAlex, it quantifies output trends, identifies leading authors and institutions, maps intellectual networks, and evaluates research impact — transforming large bibliographic corpora into evidence-based portraits of how knowledge develops and spreads.
ScholarGateSet data
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ScholarGateBandingkan metode: Time-sliced Thematic Evolution Analysis · Scientometric Analysis. Diakses 2026-06-17 dari https://scholargate.app/id/compare