scispace - formally typeset
A

Antonio Gabriel López-Herrera

Researcher at University of Granada

Publications -  55
Citations -  4468

Antonio Gabriel López-Herrera is an academic researcher from University of Granada. The author has contributed to research in topics: Fuzzy logic & Recommender system. The author has an hindex of 17, co-authored 53 publications receiving 2899 citations. Previous affiliations of Antonio Gabriel López-Herrera include University of Jaén.

Papers
More filters
Journal ArticleDOI

Science mapping software tools: Review, analysis, and cooperative study among tools

TL;DR: The aim of this article is to review, analyze, and compare some of the software tools used to carry out science mapping analysis, taking into account aspects such as the bibliometric techniques available and the different kinds of analysis.
Journal ArticleDOI

An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field

TL;DR: This approach combines performance analysis and science mapping for detecting and visualizing conceptual subdomains (particular themes or general thematic areas) and allows us to quantify and visualize the thematic evolution of a given research field.
Journal ArticleDOI

SciMAT : A new science mapping analysis software tool

TL;DR: A new open-source software tool, SciMAT, which performs science mapping analysis within a longitudinal framework that provides different modules that help the analyst to carry out all the steps of the science mapping workflow.
Journal ArticleDOI

Evaluating the Information Quality of Web Sites: A Methodology Based on Fuzzy Computing With Words

TL;DR: An evaluation methodology based on fuzzy computing with words aimed at measuring the information quality of Web sites containing documents is presented and two new majority guided linguistic aggregation operators are introduced, the Majority guided Linguistic Induced Ordered Weighted Averaging and weighted MLIOWA.
Journal ArticleDOI

An application of co-word analysis and bibliometric maps for detecting the most highlighting themes in the consumer behaviour research from a longitudinal perspective

TL;DR: The study combines performance analysis and science mapping for detecting and visualizing conceptual subdomains, and uses bibliometric maps to show in a visual way the associations between the main concepts treated by the CBR community.