The impact factor: its place in Garfield’s thought, in science evaluation, and in library collection management

Stephen J. Bensman ()
Additional contact information
Stephen J. Bensman: LSU Libraries, Louisiana State University

Scientometrics, 2012, vol. 92, issue 2, No 8, 263-275

Abstract: Abstract This paper is a response to that of Vanclay, who proposes, that since the impact factor (IF) is so seriously flawed, Thomson Reuters should either correct the measure or—preferably—no longer publish it and restrict itself to journal certification. It is argued here that Vanclay’s analysis is itself seriously flawed, because he appears totally ignorant of the thought structure of Eugene Garfield, IF’s creator. As a result, Vanclay appears unaware of the importance of total cites and the close connection of IF with review journals, where the paradigms of science are defined. This paper’s author agrees that IF is a defective measure, analyzing its defects from the perspective of the frequency theory of probability, on which modern inferential statistics is based. However, he asserts that abandoning it would be counterproductive because of its demonstrated ability—even with its defects—to identify small important journals like review journals, giving it an important role in science evaluation and library collection management.

Keywords: Impact factor; Citation analysis; Science evaluation; Journal evaluation; Library collection management (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-011-0601-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:92:y:2012:i:2:d:10.1007_s11192-011-0601-9

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-011-0601-9

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().