Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 168 tok/s
Gemini 2.5 Pro 48 tok/s Pro
GPT-5 Medium 28 tok/s Pro
GPT-5 High 25 tok/s Pro
GPT-4o 122 tok/s Pro
Kimi K2 188 tok/s Pro
GPT OSS 120B 464 tok/s Pro
Claude Sonnet 4.5 36 tok/s Pro
2000 character limit reached

Revisiting the scaling of citations for research assessment (1810.13379v1)

Published 31 Oct 2018 in cs.DL

Abstract: Over the past decade, national research evaluation exercises, traditionally conducted using the peer review method, have begun opening to bibliometric indicators. The citations received by a publication are assumed as proxy for its quality, but they require standardization prior to use in comparative evaluation of organizations or individual scientists: the citation data must be standardized, due to the varying citation behavior across research fields. The objective of this paper is to compare the effectiveness of the different methods of normalizing citations, in order to provide useful indications to research assessment practitioners. Simulating a typical national research assessment exercise, he analysis is conducted for all subject categories in the hard sciences and is based on the Thomson Reuters Science Citation Index-Expanded. Comparisons show that the citations average is the most effective scaling parameter, when the average is based only on the publications actually cited.

Citations (66)

Summary

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

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.