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Salvador García

Active 1998–2027

Also published as
Salvador Garcia
236
Papers
44,014
Citations
66
h-index
151
i10-index

Citations

Citations per year for Salvador García1969: 3 citations1988: 1 citations1992: 4 citations1994: 2 citations2000: 3 citations2001: 3 citations2002: 4 citations2003: 1 citations2004: 3 citations2005: 3 citations2006: 3 citations2007: 8 citations2008: 41 citations2009: 127 citations2010: 285 citations2011: 484 citations2012: 585 citations2013: 713 citations2014: 887 citations2015: 1,190 citations2016: 1,261 citations2017: 1,468 citations2018: 1,721 citations2019: 2,142 citations2020: 2,531 citations2021: 3,192 citations2022: 3,268 citations2023: 3,311 citations2024: 3,434 citations2025: 2,866 citations2026: 788 citations2027: 5 citations1970–1987: no citations, so these years are not shown1989–1991: no citations, so these years are not shown1993: no citations, so this year is not shown1995–1999: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 6,456 citing papers, 19% of this breakdownUnited States: 2,611 citing papers, 7.7% of this breakdownSpain: 2,479 citing papers, 7.3% of this breakdownIndia: 1,942 citing papers, 5.7% of this breakdownUnited Kingdom: 1,640 citing papers, 4.8% of this breakdownGermany: 1,089 citing papers, 3.2% of this breakdownAustralia: 994 citing papers, 2.9% of this breakdownItaly: 925 citing papers, 2.7% of this breakdownCanada: 858 citing papers, 2.5% of this breakdownBrazil: 824 citing papers, 2.4% of this breakdownIran: 787 citing papers, 2.3% of this breakdownSaudi Arabia: 730 citing papers, 2.2% of this breakdown
0%19%Other 37.3%

Institutions

Fields

  • Computer Science68.4%
  • Engineering9.9%
  • Medicine5.2%
  • Social Sciences2.5%
  • Decision Sciences2.1%
  • Biochemistry, Genetics and Molecular Biology2%
  • Other9.9%

Topics

  • Metaheuristic Optimization Algorithms Research6.5%
  • Imbalanced Data Classification Techniques4.9%
  • Advanced Multi-Objective Optimization Algorithms4%
  • Machine Learning and Data Classification3.8%
  • Evolutionary Algorithms and Applications3.8%
  • Explainable Artificial Intelligence (XAI)3.7%
  • Other73.3%

Coauthors

All papers

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

    Authors: Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera - Information Fusion, Inf. Fusion 2019 cited by 9,016

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

    Authors: Joaquín Derrac, Salvador García, Daniel Molina, Francisco Herrera - Swarm and Evolutionary Computation, Swarm Evol. Comput. 2011 cited by 5,362

  3. SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

    Authors: Alberto Fernández, Salvador García, Francisco Herrera, Nitesh V. Chawla - Journal of Artificial Intelligence Research, J. Artif. Intell. Res. 2018 cited by 2,134

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

    Authors: Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera - Information Sciences, Inf. Sci. 2009 cited by 2,194

  5. Learning from Imbalanced Data Sets

    Authors: Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, Francisco Herrera - IEEE Symposium on Security and Privacy, SP 2018 cited by 1,312

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

    Authors: Jesús Alcalá‐Fdez, Alberto Fernández, Julián Luengo, J. Derrac, Salvador García, Luciano Sánchez, Francisco Herrera - Soft Computing 2011 cited by 2,355

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

    Authors: Jesús Alcalá-Fdez, Luciano Sánchez, Salvador García, María José del Jesus, Sebastián Ventura, Josep Maria Garrell i Guiu, José Otero, Cristóbal Romero, Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández, Francisco Herrera - Soft Computing, Soft Comput. 2008 cited by 1,493

  8. Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review

    Authors: Jacinto Carrasco, Salvador García, María del Mar Rueda, Swagatam Das, Francisco Herrera - Swarm and Evolutionary Computation, Swarm Evol. Comput. 2020 cited by 494

  9. Data Preprocessing in Data Mining

    Authors: Salvador García, Julián Luengo, Francisco Herrera - Intelligent systems reference library 2014 cited by 1,346

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

    Authors: Victoria López, Alberto Fernández, Salvador García, Vasile Palade, Francisco Herrera - Information Sciences, Inf. Sci. 2013 cited by 1,581

  11. 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

    Authors: Salvador García, Daniel Molina, Manuel Lozano, Francisco Herrera - Journal of Heuristics, J. Heuristics 2008 cited by 1,710

  12. A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities

    Authors: Sergio González, Salvador García, Javier Del Ser, Lior Rokach, Francisco Herrera - Information Fusion, Inf. Fusion 2020 cited by 578

  13. Multi-modality approaches for medical support systems: A systematic review of the last decade

    Authors: Massimo Salvi, Hui Wen Loh, Silvia Seoni, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya - Information Fusion, Inf. Fusion 2023 cited by 131

  14. Big data preprocessing: methods and prospects

    Authors: Salvador García, Sergio Ramírez‐Gallego, Julián Luengo, José M. Benítez, Francisco Herrera - Big Data Analytics 2016 cited by 696

  15. Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study

    Authors: Isaac Triguero, Salvador García, Francisco Herrera - Knowledge and Information Systems, Knowl. Inf. Syst. 2013 cited by 574

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

    Authors: Salvador García, Francisco Herrera - http://www.jmlr.org/papers/volume9/garcia08a/garcia08a.pdf 2008 cited by 1,303

  17. A survey on data preprocessing for data stream mining: Current status and future directions

    Authors: Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, Francisco Herrera - Neurocomputing 2017 cited by 491

  18. Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study

    Authors: Salvador García, Joaquín Derrac, José Ramón Cano, Francisco Herrera - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2011 cited by 696

  19. A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability

    Authors: Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera - Soft Computing, Soft Comput. 2008 cited by 681

  20. EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population

    Authors: Shu Lih Oh, V. Jahmunah, Elizabeth Emma Palmer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Salvador García, Filippo Molinari, U. Rajendra Acharya - Computers in Biology and Medicine, Comput. Biol. Medicine 2023 cited by 86

  21. KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

    Authors: Isaac Triguero, Sergio González, Jose M. Moyano, Salvador García, Jesús Alcalá-Fdez, Julián Luengo, Alberto Fernández, María José del Jesus, Luciano Sánchez, Francisco Herrera - International Journal of Computational Intelligence Systems, Int. J. Comput. Intell. Syst. 2017 cited by 284

  22. A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning

    Authors: Salvador García, Julián Luengo, José Antonio Sáez, Victoria López, Francisco Herrera - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2012 cited by 540

  23. Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy

    Authors: Salvador García, Francisco Herrera - Evolutionary Computation, Evol. Comput. 2009 cited by 418

  24. Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations

    Authors: Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera - Cognitive Computation, Cogn. Comput. 2020 cited by 197