Сравнение на методи

	Идентифициране на изследователски фронт	Научно картографиране
Област	Библиометрия	Библиометрия
Семейство	Process / pipeline	Process / pipeline
Година на възникване	1990s–2000s	2000s
Създател	Chaomei Chen and others	Katy Börner, Chaomei Chen, and others
Тип	Method	Method
Основополагащ източник	Chen, C., & Paul, R. J. (1997). Visualizing a knowledge domain's intellectual structure. IEEE Computer, 30(3), 65–71.	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.
Други названия	emerging research detection, research frontier mapping, hot topic identification, emerging field analysis	knowledge mapping, domain mapping, research landscape visualization
Свързани	5	5
Резюме	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.	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.