H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 150 Citations 98,892 833 World Ranking 12 National Ranking 1

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

His main research concerns Artificial intelligence, Machine learning, Fuzzy logic, Data mining and Fuzzy set. His Artificial intelligence study typically links adjacent topics like Linguistics. The concepts of his Machine learning study are interwoven with issues in Set and Genetic fuzzy systems.

As a part of the same scientific study, he usually deals with the Set, concentrating on Nonparametric statistics and frequently concerns with Statistical hypothesis testing. His Fuzzy logic study integrates concerns from other disciplines, such as Multiplicative function, Group decision-making and Preference, Preference theory. In Data mining, he works on issues like Data set, which are connected to Algorithm.

His most cited work include:

  • A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms (2352 citations)
  • A 2-tuple fuzzy linguistic representation model for computing with words (1781 citations)
  • KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework (1422 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Artificial intelligence, Machine learning, Data mining, Fuzzy logic and Fuzzy rule. His research links Pattern recognition with Artificial intelligence. Francisco Herrera has researched Machine learning in several fields, including Classifier and Set.

The various areas that Francisco Herrera examines in his Data mining study include Class, Preprocessor, Feature selection and k-nearest neighbors algorithm. His work deals with themes such as Mathematical optimization, Preference and Group decision-making, which intersect with Fuzzy logic. His work on Rule-based machine translation as part of his general Linguistics study is frequently connected to Term, thereby bridging the divide between different branches of science.

He most often published in these fields:

  • Artificial intelligence (66.54%)
  • Machine learning (42.33%)
  • Data mining (27.91%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (66.54%)
  • Machine learning (42.33%)
  • Big data (9.15%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Artificial intelligence, Machine learning, Big data, Data mining and Group decision-making. He has included themes like Natural language processing, Set and Pattern recognition in his Artificial intelligence study. Many of his studies on Machine learning involve topics that are commonly interrelated, such as Optimization problem.

As part of one scientific family, Francisco Herrera deals mainly with the area of Big data, narrowing it down to issues related to the Data science, and often Taxonomy. His Group decision-making research is multidisciplinary, incorporating perspectives in Consistency, Social network, Cluster analysis, Fuzzy logic and Preference. His work in Preference addresses subjects such as Set, which are connected to disciplines such as Linguistics.

Between 2017 and 2021, his most popular works were:

  • Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (496 citations)
  • SMOTE for learning from imbalanced data: progress and challenges, marking the 15-year anniversary (253 citations)
  • Bio-inspired computation: Where we stand and what's next (172 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Statistics

Francisco Herrera mainly investigates Artificial intelligence, Group decision-making, Machine learning, Term and Preference. His Artificial intelligence study frequently draws connections to adjacent fields such as Pattern recognition. His research integrates issues of Consistency, Social network, Cluster analysis, Fuzzy logic and Operations research in his study of Group decision-making.

His Fuzzy logic research includes elements of Multiplicative function and Consistency. He is interested in Ensemble selection, which is a branch of Machine learning. His work investigates the relationship between Convolutional neural network and topics such as Robustness that intersect with problems in Data mining.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A 2-tuple fuzzy linguistic representation model for computing with words

F. Herrera;L. Martinez.
IEEE Transactions on Fuzzy Systems (2000)

2625 Citations

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

Joaquín Derrac;Salvador García;Daniel Molina;Francisco Herrera.
Swarm and evolutionary computation (2011)

2538 Citations

KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework

J. Alcalá-Fdez;A. Fernández;J. Luengo;J. Derrac.
soft computing (2011)

1838 Citations

Linguistic decision analysis: steps for solving decision problems under linguistic information

F. Herrera;E. Herrera-Viedma.
Fuzzy Sets and Systems (2000)

1820 Citations

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

M. Galar;A. Fernandez;E. Barrenechea;H. Bustince.
systems man and cybernetics (2012)

1625 Citations

Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis

F. Herrera;M. Lozano;J. L. Verdegay.
Artificial Intelligence Review (1998)

1585 Citations

Hesitant Fuzzy Linguistic Term Sets for Decision Making

R. M. Rodriguez;L. Martinez;F. Herrera.
IEEE Transactions on Fuzzy Systems (2012)

1414 Citations

A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 Special Session on Real Parameter Optimization

Salvador García;Daniel Molina;Manuel Lozano;Francisco Herrera.
Journal of Heuristics (2009)

1375 Citations

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

Salvador García;Alberto Fernández;Julián Luengo;Francisco Herrera.
Information Sciences (2010)

1374 Citations

Genetic Fuzzy Systems: Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases

Oscar Cordón;Francisco Herrera;Frank Hoffmann;Luis Magdalena.
(2002)

1366 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Francisco Herrera

Zeshui Xu

Zeshui Xu

Sichuan University

Publications: 425

Enrique Herrera-Viedma

Enrique Herrera-Viedma

University of Granada

Publications: 347

Witold Pedrycz

Witold Pedrycz

University of Alberta

Publications: 251

Luis Martínez

Luis Martínez

University of Jaén

Publications: 145

José M. Merigó

José M. Merigó

University of Technology Sydney

Publications: 141

Huchang Liao

Huchang Liao

Sichuan University

Publications: 138

Humberto Bustince

Humberto Bustince

Universidad Publica De Navarra

Publications: 136

Francisco Chiclana

Francisco Chiclana

De Montfort University

Publications: 130

Guiwu Wei

Guiwu Wei

Chongqing University of Arts and Sciences

Publications: 110

Hisao Ishibuchi

Hisao Ishibuchi

Southern University of Science and Technology

Publications: 108

Sebastián Ventura

Sebastián Ventura

University of Córdoba

Publications: 106

Peide Liu

Peide Liu

Shandong University of Finance and Economics

Publications: 95

Jianqiang Wang

Jianqiang Wang

Central South University

Publications: 93

Erik Cuevas

Erik Cuevas

University of Guadalajara

Publications: 84

Oscar Cordón

Oscar Cordón

University of Granada

Publications: 82

Yucheng Dong

Yucheng Dong

Sichuan University

Publications: 81

Something went wrong. Please try again later.