Linganisha mbinu

	Uchambuzi wa Mageuzi ya Kimaudhui kwa vipande vya Wakati	Ramani ya Kisayansi
Nyanja	Saintometriki	Bibliometriki
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	2011–2012	2000s
Mwanzilishi	Cobo, López-Herrera, Herrera-Viedma & Herrera	Katy Börner, Chaomei Chen, and others
Aina	Longitudinal bibliometric analysis	Method
Chanzo asilia	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.	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.
Majina mbadala	longitudinal thematic mapping, temporal thematic evolution, time-period thematic analysis, diachronic science mapping	knowledge mapping, domain mapping, research landscape visualization
Zinazohusiana	6	5
Muhtasari	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.	Science mapping is a bibliometric visualization method that creates visual representations of research domains, showing the structure, development, and relationships of scientific fields. Using bibliographic data (citations, keywords, authors, journals), science mapping algorithms generate network diagrams where nodes represent documents, concepts, or authors and edges represent relationships (citation, collaboration, semantic similarity). The resulting maps make invisible intellectual structures visible, enabling researchers to understand field topology, identify emerging areas, and navigate disciplinary landscapes. Pioneered by Börner, Chen, and Boyack in the 2000s, science mapping has become a standard tool in research evaluation and strategic planning.