পদ্ধতির তুলনা করুন

	Time-sliced Thematic Evolution Analysis	গ্রন্থনামূলক বিশ্লেষণ
ক্ষেত্র	বিজ্ঞানমিতি	বিজ্ঞানমিতি
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	2011–2012	1969 (term coined); practice dates to 1920s–1930s
প্রবর্তক	Cobo, López-Herrera, Herrera-Viedma & Herrera	Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934)
ধরন	Longitudinal bibliometric analysis	Quantitative literature analysis
মৌলিক উৎস	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.	Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349.
অপর নাম	longitudinal thematic mapping, temporal thematic evolution, time-period thematic analysis, diachronic science mapping	bibliometrics, bibliometric study, bibliometric mapping, publication analysis
সম্পর্কিত	6	6
সারসংক্ষেপ	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.	Bibliometric analysis applies statistical and mathematical methods to bibliographic records — publications, citations, authors, journals, and keywords — to measure and map the structure, output, and intellectual evolution of a research field. It is widely used to identify influential works, prolific authors, productive journals, collaboration networks, and emerging research themes across any academic discipline.