papers related to SIG Metrics

[Eugene Garfield]

TITLE: Visualizing and mapping the intellectual structure of

information retrieval (Article, English)

AUTHOR: Rorissa, A; Yuan, XJ

SOURCE: INFORMATION PROCESSING & MANAGEMENT 48 (1). JAN 2012.

p.120-135 PERGAMON-ELSEVIER SCIENCE LTD, OXFORD

SEARCH TERM(S): CLEVERDON C rauth;

SMALL H INFORMATION PROCESSI 17:39 1981;

SMALL H J AM SOC INFORM SCI 50:799 1999;

WHITE HD J AM SOC INFORM SCI 32:163 1981

KEYWORDS: Information retrieval; Citation analysis; Bibliometrics;

Informetrics; Domain analysis

KEYWORDS+: AUTHOR COCITATION ANALYSIS; BIBLIOMETRIC ANALYSIS; GOOGLE

SCHOLAR; SCIENCE; LIBRARY; COLLABORATION; SCIENTISTS;

NETWORKS; ARTICLES; IMPACT

ABSTRACT: Information retrieval is a long established subfield of

library and information science. Since its inception in the early- to mid -1950s, it has grown as a result, in part, of well-regarded retrieval system evaluation exercises/campaigns, the proliferation of Web search engines, and the expansion of digital libraries. Although researchers have examined the intellectual structure and nature of the general field of library and information science, the same cannot be said about the subfield of information retrieval. We address that in this work by sketching the information retrieval intellectual landscape through visualizations of citation behaviors. Citation data for 10 years (2000-

2009) were retrieved from the Web of Science and analyzed using existing visualization techniques. Our results address information retrieval's co- authorship network, highly productive authors, highly cited journals and papers, author-assigned keywords, active institutions, and the import of ideas from other disciplines. (C) 2011 Elsevier Ltd. All rights reserved.

AUTHOR ADDRESS: A Rorissa, SUNY Albany, Dept Informat Studies, Draper

Hall,Room 113,135 Western Ave, Albany, NY 12222 USA



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