World's Best Scientists 2026 revealed!
Francisco Herrera

Francisco Herrera

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Best Scientists
2025
Award Badge
Computer Science
Spain
2026

D-Index & Metrics

Best Scientists

D-Index
181
Citations
143470
World Ranking
596
National Ranking
3

Computer Science

D-Index
184
Citations
154906
World Ranking
9
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Computer Science in Spain Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2023 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Francisco Herrera is a researcher affiliated with the University of Granada in Spain. Their academic contributions primarily focus on the field of Computer Science, with significant specialization in areas such as Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, and Statistical and Nonlinear Physics.

Their work addresses a variety of important research topics, including:

  • Multi-Criteria Decision Making
  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications
  • Machine Learning and Data Classification
  • Imbalanced Data Classification Techniques
  • Privacy-Preserving Technologies in Data

Francisco Herrera has published extensively in multiple venues, frequently contributing to:

  • arXiv (Cornell University)
  • Information Fusion
  • Information Sciences
  • Neurocomputing
  • SSRN Electronic Journal

Among recent publications are:

  • "Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence" (2023), published in Information Fusion
  • "A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities" (2020), published in Information Fusion
  • "Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation" (2023), published in Information Fusion
  • "A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems" (2021), published in Swarm and Evolutionary Computation
  • "An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges" (2020), published in Information Fusion

Frequent collaboration is noted with several co-authors, including:

  • Javier Del Ser
  • M. Victoria Luzón
  • Nuria Rodríguez-Barroso
  • Siham Tabik
  • Daniel Molina

Best Publications

  • Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

    Alejandro Barredo Arrieta;Natalia Díaz-Rodríguez;Javier Del Ser;Javier Del Ser;Adrien Bennetot;Adrien Bennetot

  • 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

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

    F. Herrera;L. Martinez

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

    M. Galar;A. Fernandez;E. Barrenechea;H. Bustince

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

    M. J. Cobo;A. G. López-Herrera;E. Herrera-Viedma;F. Herrera

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

    J. Alcalá-Fdez;A. Fernández;J. Luengo;J. Derrac

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

    Manolo J. Cobo;Antonio Gabriel López-Herrera;Enrique Herrera-Viedma;Francisco Herrera

  • Hesitant Fuzzy Linguistic Term Sets for Decision Making

    R. M. Rodriguez;L. Martinez;F. Herrera

  • 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

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

    F. Herrera;E. Herrera-Viedma

  • SMOTE for learning from imbalanced data: progress and challenges, marking the 15-year anniversary

    Alberto Fernández;Salvador García;Francisco Herrera;Nitesh V. Chawla

  • 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

  • An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

    Victoria López;Alberto Fernández;Salvador García;Vasile Palade

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

    F. Herrera;M. Lozano;J. L. Verdegay

  • KEEL: a software tool to assess evolutionary algorithms for data mining problems

    J. Alcalá-Fdez;L. Sánchez;S. García;M. J. del Jesus

  • An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons

    Salvador García;Francisco Herrera

  • Data Preprocessing in Data Mining

    Salvador Garca;Julin Luengo;Francisco Herrera

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

    Oscar Cordón;Francisco Herrera;Frank Hoffmann;Luis Magdalena

  • A model of consensus in group decision making under linguistic assessments

    F. Herrera;E. Herrera-Viedma;J. L. Verdegay

  • SciMAT : A new science mapping analysis software tool

    M.J. Cobo;A.G. López-Herrera;E. Herrera-Viedma;F. Herrera

  • A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making

    F. Herrera;L. Martinez

Frequent Co-Authors

Enrique Herrera-Viedma
Enrique Herrera-Viedma University of Granada
Alberto Fernández
Alberto Fernández University of Granada
Oscar Cordón
Oscar Cordón University of Granada
Salvador García
Salvador García University of Granada
Julián Luengo
Julián Luengo University of Granada
Luis Martínez
Luis Martínez University of Jaén
Francisco Chiclana
Francisco Chiclana De Montfort University
María José del Jesus
María José del Jesus University of Jaén
Manuel Lozano
Manuel Lozano University of Granada
José Manuel Benítez
José Manuel Benítez University of Granada

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