ScholarGate
Βοηθός

Σύγκριση μεθόδων

Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.

Ανάλυση Επιστημομετρίας ανά Χρονικές Φέτες×Ανάλυση Θεματικής Εξέλιξης×
ΠεδίοΕπιστημομετρίαΕπιστημομετρία
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης1980s–1990s2011
ΔημιουργόςDerived from scientometrics tradition; temporal slicing formalized in longitudinal bibliometric studies from the 1980s onwardManuel J. Cobo and colleagues (University of Granada)
ΤύποςQuantitative longitudinal analysisQuantitative bibliometric technique
Θεμελιώδης πηγήSmall, H. (1999). Visualizing science by citation mapping. Journal of the American Society for Information Science, 50(9), 799-813. link ↗Cobo, M. J., Lopez-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 ↗
Εναλλακτικές ονομασίεςtemporal scientometrics, period-based scientometric analysis, time-window scientometrics, longitudinal scientometric analysisTEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis
Συναφείς66
ΣύνοψηTime-sliced scientometric analysis divides a bibliographic corpus into discrete temporal windows — commonly five- or ten-year periods — and applies standard scientometric indicators (publication counts, citation rates, h-index, collaboration networks, keyword co-occurrence) within each slice. By comparing results across slices, researchers can reconstruct how a scientific field has grown, shifted focus, formed new collaborations, or declined in influence over time. The approach combines the rigor of quantitative scientometrics with an explicit longitudinal dimension.Thematic evolution analysis is a bibliometric technique that divides a body of literature into consecutive time periods and tracks how research themes emerge, consolidate, split, merge, or disappear across those periods. By combining co-word analysis, clustering, and strategic diagrams for each time slice, it produces a dynamic picture of a field's intellectual development rather than a static snapshot.
ScholarGateΣύνολο δεδομένων
  1. v1
  2. 2 Πηγές
  3. PUBLISHED
  1. v1
  2. 2 Πηγές
  3. PUBLISHED

Μετάβαση στην αναζήτηση Λήψη διαφανειών

ScholarGateΣύγκριση μεθόδων: Time-sliced Scientometric Analysis · Thematic Evolution Analysis. Ανακτήθηκε στις 2026-06-17 από https://scholargate.app/el/compare