Investigating the Effect of Systematic Errors in the ISI Subject Categories on the Scientific Outputs and the Visibility of Disciplines

Document Type : Research Article

Authors

• Hamidreza kiani
• Mohammadreza Davarpanah
• Rahmatollah Fattahi

Ferdowsi University of Mashahd

10.22067/riis.v5i2.18686

Abstract

Purpose: The purpose of this study was to investigate the structure of the discipline categorization and its overlap with ISI subject categories. This will help detect the systematic errors arising from the scientometrics studies.
Methodology: The scientometrics methodology was used. All articles which were indexed in the Web of Science database (2007) and also the articles citing them during 2007-2011 were retrieved and categorized.
Findings: The findings show that the articles in the Social Science Citation Index had the highest overlap (32420) with the Science Citation Index Expanded (32.79%) and the articles in the Art & Humanities Citation Index had the lowest overlap with SCIE (32.79%).This overlap leads to an increase in the volume of outputs and the visibility of some fields. The highest increase of outputs and the visibility occurred in the Art and Humanities fields is in contrast withthe initial outputs and the visibility of them. There was a converse tendency between the subject overlapand the fields of SCIE and SSCI; however, the tendency of its overlap with the Art and Humanities fields, SCIE, and SSCI fields was not significant.

Keywords

• systematic error
• Scientometrics
• Visibility
• overlap
• interference in content
• ISI subject categories
• Web of Science
• Institute for Scientific Information

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References

حسن زاده، رمضان، مداح، محمدتقی (1387). روش های آماری در علوم رفتاری: آمار توصیفی و آمار استنباطی. تهران: ویرایش.

داورپناه، محمدرضا (1384). روابط میان رشته ای در علوم انسانی: تحلیلی استنادی. مطالعات تربیتی و روانشناسی دانشگاه فردوسی، 18، 17-36.

داورپناه، محمدرضا (1385). جستجوی اطلاعات علمی و پژوهشی در منابع چاپی و الکترونیکی. ویرایش2. تهران: دبیزش؛ چاپار

داورپناه، محمدرضا (1386). چالش های علم سنجی در علوم انسانی. مطالعات تربیتی و روانشناسی دانشگاه فردوسی، 16(2)، 125-146.

Glanzel, W. (1996). The need for standards in bibliometric research and technology. Scientometrics, 35(2), 167-176.

Glanzel, W., & Schubert, A.(2003).A new classification scheme of science fields and subfields designed for scientometric evaluation purposes. Scientometrics, 56(3), 357-367.

Glanzel, W., Schubert, A. Schoepflin, U., & Czerwon, H. J. (1999). An Item-by-Item Subject Classification of Papers Published in Journals Covered by the SSCI Database Using Reference Analysis. Scientometrics, 46(3), 431-441.

Glanzel, W., Schubert, A., & Czerwon, H. J. (1999). An Item-by-ItemSubject Classificationof Papers Publishedin multidisciplinary and general journals Using Reference Analysis. Scientometrics, 44(3), 427-439.

Leydesdorff, L. (2007). Mapping interdisciplinarity at the interfaces between the Science Citation Index and the Social Science Citation Index. Scientometrics, 71(3), 391- 405.

Leydesdorff, L., & Probst, C. (2009). The Delineation of an Interdisciplinary Specialty in terms of a Journal Set: The Case of Communication Studies. Journal of theAmerican Society for Information Science and Technology, 60(8), 1709-1719.

Leydesdorff, L., & Rafols, I. (2009). A Global Map of Science Based on the ISI Subject Categories. Journals of American Society for Information Science and Technology, 60(2), 348- 362.

Rafols, I., & Leydesdorff, L.(2009). Content-based and Algorithmic Classifications of Journals: Perspectives on the Dynamics of Scientific Communication and Indexer Effects. Journal of theAmerican Society for Information Science and Technology, 60(9), 1823-1835.

Rinia, & et al (2002). Measuring knowledge transfer between fields of science. Scientometrics, 54(3), 347- 362.

van den Besselaar, P., & Heimeriks, G. (2001). Disciplinary, Multidisciplinary, Interdisciplinary: Concepts and Indicators. the 8th conference on Scientometrics and Informetrics–ISSI. Sydney. Australia.

Zhang, L., Liu, X., Liang, L., & Glanzel,, W. (2009). Subject clustering analysis based on ISI category classification. Journal of Informetrics, 4(2), 185-193