Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
97 tokens/sec
GPT-4o
53 tokens/sec
Gemini 2.5 Pro Pro
44 tokens/sec
o3 Pro
5 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

A recursive field-normalized bibliometric performance indicator: An application to the field of library and information science (1105.3212v1)

Published 16 May 2011 in cs.DL

Abstract: Two commonly used ideas in the development of citation-based research performance indicators are the idea of normalizing citation counts based on a field classification scheme and the idea of recursive citation weighing (like in PageRank-inspired indicators). We combine these two ideas in a single indicator, referred to as the recursive mean normalized citation score indicator, and we study the validity of this indicator. Our empirical analysis shows that the proposed indicator is highly sensitive to the field classification scheme that is used. The indicator also has a strong tendency to reinforce biases caused by the classification scheme. Based on these observations, we advise against the use of indicators in which the idea of normalization based on a field classification scheme and the idea of recursive citation weighing are combined.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (3)
  1. Ludo Waltman (58 papers)
  2. Erjia Yan (16 papers)
  3. Nees Jan van Eck (43 papers)
Citations (55)

Summary

We haven't generated a summary for this paper yet.