Linganisha mbinu

	Map-uwanja wa Tathmini ya Upeo	Ramani ya Kisayansi
Nyanja	Saintometriki	Bibliometriki
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	2005 (foundational framework); field-mapping purpose formalised c. 2015–2018	2000s
Mwanzilishi	Arksey & O'Malley (scoping review framework); field-mapping purpose formalised by Munn et al. and Peters et al.	Katy Börner, Chaomei Chen, and others
Aina	Evidence synthesis — systematic review variant	Method
Chanzo asilia	Munn, Z., Peters, M. D. J., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic review and scoping review approach. BMC Medical Research Methodology, 18, 143.	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.
Majina mbadala	field-mapping scoping study, evidence-mapping scoping review, field map review, scoping review for field mapping	knowledge mapping, domain mapping, research landscape visualization
Zinazohusiana	6	5
Muhtasari	A field-mapping scoping review is a purposive variant of the scoping review in which the overarching goal is to chart the conceptual and empirical landscape of a research field — identifying what has been studied, by whom, using which methods, and where knowledge gaps remain. It follows the Arksey and O'Malley scoping framework but is explicitly oriented toward producing a structured map of a field rather than answering a focused clinical or policy question.	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.