Generation of large-scale maps of science and associated indicators.
Author(s) -
Richard Klavans,
Kevin W. Boyack
Publication year - 2005
Language(s) - English
Resource type - Reports
DOI - 10.2172/875987
Subject(s) - profiling (computer programming) , data science , science citation index , cluster analysis , computer science , scale (ratio) , citation , work (physics) , index (typography) , bibliometrics , data mining , information retrieval , geography , engineering , cartography , world wide web , artificial intelligence , mechanical engineering , operating system
Over the past several years, techniques have been developed for clustering very large segments of the technical literature using sources such as Thomson ISI's Science Citation Index. The primary objective of this work has been to develop indicators of potential impact at the paper level to enhance planning and evaluation of research. These indicators can also be aggregated at different levels to enable profiling of departments, institutions, agencies, etc. Results of this work are presented as maps of science and technology with various overlays corresponding to the indicators associated with a particular search or question
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