Employing Informetric Analysis to Identify Dominant Research Areas in the Top Ranking U.S. LIS Schools

Hae-Young Kim; Young-Mee Chung (정영미); Ji-Hye Lee

doi:10.3743/KOSIM.2008.25.2.143

Employing Informetric Analysis to Identify Dominant Research Areas in the Top Ranking U.S. LIS Schools

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2008, 25(2), pp.143~155
DOI : 10.3743/KOSIM.2008.25.2.143
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : May 21, 2008
Accepted : June 10, 2008
Published : June 30, 2008

Hae-Young Kim ¹, Young-Mee Chung ², Ji-Hye Lee ¹

¹Yonsei University
²연세대학교

Accredited

ABSTRACT

Authoritative as well as objective information on ranking or dominant research areas of academic departments/schools in a certain discipline is essential for the graduate school applicants. In this study, we performed an informetric analysis to identify dominant research areas in the top 10 U.S. LIS schools. We used two different datasets of research productivity and research interests of the LIS faculty. The correspondence analysis method was employed to graphically display the association between research areas and the LIS schools. We found that the research productivity data collected from SSCI database generated a very informative map presenting which research areas were dominant in which LIS schools. We also found that for the two most productive subject areas in LIS over the past 10-year period, the proportion of research articles in information retrieval decreased to a great extent in the recent 5-year period, whereas that of information seeking behavior showed an almost same degree of increase.

KEYWORDS

informetric analysis, correspondence analysis, research productivity, research areas, LIS schools

Citation status

* References for papers published after 2023 are currently being built.

[journal] Adloms., D. / 2006 / Scholarly productivity of U.S. LIS faculty / Library & Information Research 28 : 374~389

[journal] Anuradha, K. T. / 2007 / Bibliometric indicators of Indian research collaboration patterns: A correspondence analysis / Scien- tometrics 71(2) : 179~189

[journal] Cronin, B. / 2006 / Using the h-index to rank influential information scientists / J. of the American Society for Information Science and Technology 57(9) : 1275~1278

[journal] Dore, J. C. / 2001 / How to analyze publication time trends by correspondence factor analysis: Analysis of publications by 48 countries in 18 disciplines over 12 years / J. of the American Society for Information Science and Technology 52(9) : 763~769

[journal] Dore, J. C. / 1992 / Correspondence factor analysis of the publication patterns of 48 countries over the period 1981-1992 / J. of the American Society for Information Science 47(8) : 588~602

[book] Greenacre, M. J. / 1993 / Correspondence Analysis in Practice / Academic Press

[journal] Imperial, J. / 2007 / Useful- ness of Hirsch’s h-index to evaluate scientific research in Spain / Scientometrics 71(2) : 272~282

[journal] Meho, L. I. / 2005 / Ranking the research productivity of library and information science faculty and schools: An evaluation of data sources and research methods / J. of the American Society for Information Science and Technology 56(12) : 1314~1331

[journal] Van Raan, A. F. / 2006 / Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147chemistry research groups / Scientometrics 67(3) : 491~502

KJCKorea
Journal Central

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Employing Informetric Analysis to Identify Dominant Research Areas in the Top Ranking U.S. LIS Schools

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Employing Informetric Analysis to Identify Dominant Research Areas in the Top Ranking U.S. LIS Schools

ABSTRACT

KEYWORDS

Statistics

Tools

Issue List

Citation status

KCI Citation Counts (1)

REFERENCES (9) * References for papers published after 2023 are currently being built.

Search PDF

Citation

* References for papers published after 2023 are currently being built.