Confronta i metodi

	Revisione Mappale a Fette Temporali	Mappatura della Scienza
Campo	Scientometria	Bibliometria
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	2000s–2010s	2000s
Ideatore	Campbell Collaboration / Gough, Oliver & Thomas	Katy Börner, Chaomei Chen, and others
Tipo	Evidence synthesis with temporal segmentation	Method
Fonte seminale	Gough, D., Oliver, S., & Thomas, J. (2012). An Introduction to Systematic Reviews. Sage Publications. ISBN: 978-1849204842	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.
Alias	temporal mapping review, time-period mapping review, longitudinal evidence map, chronological mapping review	knowledge mapping, domain mapping, research landscape visualization
Correlati	6	5
Sintesi	A time-sliced mapping review is a systematic evidence synthesis that partitions the search period into discrete temporal segments — such as five-year intervals — and constructs a separate evidence map for each slice. By comparing maps across periods, researchers can chart how topics emerge, peak, decline, or transform within a research field, producing a longitudinal picture of knowledge structure that a single-point mapping review cannot provide.	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.