Linganisha mbinu

	Uchambuzi wa Ramani kwa Msingi wa Mtandao	Ramani ya Kisayansi
Nyanja	Saintometriki	Bibliometriki
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	2000s–2010s	2000s
Mwanzilishi	Petticrew & Roberts (mapping review); network overlay adopted from bibliometric network analysis tradition	Katy Börner, Chaomei Chen, and others
Aina	Evidence synthesis method with network analysis overlay	Method
Chanzo asilia	Petticrew, M., & Roberts, H. (2006). Systematic Reviews in the Social Sciences: A Practical Guide. Blackwell Publishing. ISBN: 978-1405121101	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.
Majina mbadala	network mapping review, citation-network mapping review, network-enhanced evidence mapping, network-informed mapping review	knowledge mapping, domain mapping, research landscape visualization
Zinazohusiana	6	5
Muhtasari	A network-based mapping review combines the breadth of a traditional evidence mapping exercise with bibliometric network analysis to chart the structural landscape of a research field. Rather than simply cataloguing studies by topic, this approach constructs citation, co-authorship, or co-word networks to reveal clusters of intellectual activity, influential works, and collaboration patterns — producing both a visual and a descriptive map of the evidence base.	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.