השוואת שיטות

	סקירת מיפוי בסיוע bibliometrix	סקירת ספרות שיטתית
תחום	סיינטומטריה	סיינטומטריה
משפחה	Process / pipeline	Process / pipeline
שנת המקור	2017 (bibliometrix tool); mapping review approach formalised c. 2010s	1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines)
הוגה השיטה	Aria & Cuccurullo (bibliometrix, 2017); mapping review methodology developed in evidence synthesis community (~2000s)	Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004)
סוג	Tool-assisted evidence mapping review	Evidence synthesis methodology
מקור מכונן	Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.	Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401.
כינויים	bibliometrix mapping review, R-bibliometrix evidence map, bibliometric-assisted systematic map, bibliometrix evidence synthesis map	SLR, systematic review, evidence synthesis review, structured literature review
קשורות	5	5
תקציר	A bibliometrix-assisted mapping review combines the structured scope-and-search logic of an evidence mapping review with the analytical power of the bibliometrix R package. Instead of manually categorising studies, the researcher leverages bibliometrix functions — keyword co-occurrence networks, thematic clustering, and yearly trend analysis — to chart the landscape of a research field systematically and at scale, producing an interactive, reproducible evidence map.	A systematic literature review (SLR) is a structured, reproducible method for identifying, appraising, and synthesizing all relevant studies on a research question. Unlike a narrative review, it follows an explicit, pre-specified protocol — from database search strings through inclusion criteria to data extraction — so that the process is transparent, auditable, and replicable by other researchers. It is widely used in medicine, education, software engineering, and the social sciences to produce the most comprehensive possible evidence base on a topic.