The suitability of h and g indexes for measuring the research performance of institutions. Scientometrics, 97(3), 555-570

10/30/2018
by   Giovanni Abramo, et al.
0

It is becoming ever more common to use bibliometric indicators to evaluate the performance of research institutions, however there is often a failure to recognize the limits and drawbacks of such indicators. Since performance measurement is aimed at supporting critical decisions by research administrators and policy makers, it is essential to carry out empirical testing of the robustness of the indicators used. In this work we examine the accuracy of the popular "h" and "g" indexes for measuring university research performance by comparing the ranking lists derived from their application to the ranking list from a third indicator that better meets the requirements for robust and reliable assessment of institutional productivity. The test population is all Italian universities in the hard sciences, observed over the period 2001-2005. The analysis quantifies the correlations between the three university rankings (by discipline) and the shifts that occur under changing indicators, to measure the distortion inherent in use of the h and g indexes and their comparative accuracy for assessing institutions.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/20/2018

Assessing the accuracy of the h and g indexes for measuring researchers' productivity

Bibliometric indicators are increasingly used in support of decisions fo...
research
11/05/2018

Bibliometric evaluation of research performance: where do we stand?

This work provides a critical examination of the most popular bibliometr...
research
09/04/2018

Assessment and support of emerging research groups

The starting point of this paper is a desktop research assessment model ...
research
10/30/2018

A comparison of university performance scores and ranks by MNCS and FSS

In a previous article of ours, we explained the reasons why the MNCS and...
research
11/24/2021

Mining Meta-indicators of University Ranking: A Machine Learning Approach Based on SHAP

University evaluation and ranking is an extremely complex activity. Majo...
research
09/16/2020

How to Measure the Performance of a Collaborative Research Center

New Public Management helps universities and research institutions to pe...

Please sign up or login with your details

Forgot password? Click here to reset