Linganisha mbinu

	Uchanganuzi wa Usanifu wa Makala Yanayotajwa Pamoja kwa Kufuata PRISMA	Uchambuzi wa Kunukuliwa Pamoja
Nyanja	Saintometriki	Bibliometriki
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	2009–2021 (methodological combination emerged in the 2010s)	1973
Mwanzilishi	PRISMA: Moher et al. (2009), updated Page et al. (2021); Co-citation: Henry Small (1973)	Henry Small
Aina	Systematic bibliometric review	Method
Chanzo asilia	Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ... & Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372, n71.	Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269.
Majina mbadala	systematic co-citation review, PRISMA co-citation, co-citation analysis with PRISMA reporting, transparent co-citation analysis	co-citation mapping, historiograph, direct citation, citation pair analysis
Zinazohusiana	6	5
Muhtasari	PRISMA-compliant co-citation analysis is a systematic bibliometric method that applies the PRISMA 2020 reporting framework to co-citation analysis. It identifies intellectual clusters in a research field by measuring how frequently pairs of documents are cited together, while ensuring full transparency of the literature search, screening decisions, and analytic choices through a pre-registered protocol and standardised flow diagram.	Co-citation analysis is a method that identifies the intellectual structure of a research domain by examining how frequently pairs of documents are cited together in other publications. When two papers are frequently cited together in the literature, they are considered co-cited, indicating they are conceptually related or influential within the same research community. Developed by Henry Small in 1973, co-citation analysis maps the 'invisible colleges' of science—networks of researchers working on related problems—and reveals how knowledge domains evolve over time.