Some bibliometric procedures for analyzing and evaluating research fields

Nowadays, measuring the quality and quantity of the scientific production is an important necessity since almost every research assessment decision depends, to a great extent, upon the scientific merits of the involved researchers. To do that, many different indicators have been proposed in the lite...

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Bibliographic Details
Published in:Applied intelligence (Dordrecht, Netherlands) Netherlands), 2018-05, Vol.48 (5), p.1275-1287
Main Authors: Gutiérrez-Salcedo, M., Martínez, M. Ángeles, Moral-Munoz, J. A., Herrera-Viedma, E., Cobo, M. J.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Bibliographies
Bibliometrics
Computer Science
Impact analysis
Machines
Manufacturing
Mapping
Mechanical Engineering
Processes
Researchers
Software development tools
Software utilities
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Summary:Nowadays, measuring the quality and quantity of the scientific production is an important necessity since almost every research assessment decision depends, to a great extent, upon the scientific merits of the involved researchers. To do that, many different indicators have been proposed in the literature. Two main bibliometric procedures to explore a research field have been defined: performance analysis and science mapping. On the one hand, performance analysis aims at evaluating groups of scientific actors (countries, universities, departments, researchers) and the impact of their activity on the basis of bibliographic data. On the other hand, the extraction of knowledge from the intellectual, social or conceptual structure of a research field could be done by means of science mapping analysis based on bibliographic networks. In this paper, we introduce some of the most important techniques and software tools to analyze the impact of a research field and its scientific structures. Particularly, four bibliometric indices (h, g, hg and q 2 ), the h-classics approach to identify the classic papers of a research field and three free science mapping software tools (CitNetExplorer, SciMAT and VOSViewer) are shown.
ISSN:0924-669X
1573-7497
DOI:10.1007/s10489-017-1105-y