Sammenlign metoder

	Identifikation af forskningsfront	Co-citationsanalyse
Fagområde	Bibliometri	Bibliometri
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1990s–2000s	1973
Ophavsperson	Chaomei Chen and others	Henry Small
Type	Method	Method
Oprindelig kilde	Chen, C., & Paul, R. J. (1997). Visualizing a knowledge domain's intellectual structure. IEEE Computer, 30(3), 65–71.	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.
Aliasser	emerging research detection, research frontier mapping, hot topic identification, emerging field analysis	co-citation mapping, historiograph, direct citation, citation pair analysis
Relaterede	5	5
Resumé	Research front identification is a bibliometric method for detecting emerging or cutting-edge research areas within a larger research landscape. A 'research front' is a cluster of recently published, highly-cited papers that define the current active research direction in a field. Unlike established research communities (identifiable through co-citation networks and slow-changing patterns), research fronts are characterized by rapid growth, high citation velocity (papers accumulating citations quickly), and weak historical ties to established literature. Developed systematically by Chen and others in the 1990s–2000s, research front identification enables researchers, funders, and policy makers to track where scientific activity is concentrating and where breakthrough research is emerging.	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.