World's Best Scientists 2026 revealed!
Salvador García

Salvador García

Award Badge
Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
69
Citations
47055
World Ranking
1912
National Ranking
21

Salvador García publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Salvador García sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 304 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Salvador García D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Salvador García sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 69 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Salvador García is affiliated with the University of Granada in Spain and has a research focus predominantly in the field of Computer Science with a substantial number of publications. Their work spans various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, and Information Systems.

The scientist's research topics cover a range of technical subjects, highlighting key areas such as:

  • Imbalanced Data Classification Techniques
  • Advanced Clustering Algorithms Research
  • Machine Learning and Data Classification
  • Face and Expression Recognition
  • Text and Document Classification Technologies
  • Data Management and Algorithms
  • Electricity Theft Detection Techniques

Several recent papers exemplify the scope and focus of Salvador García's research contributions. Notable publications include:

  • "A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities" (2020, Information Fusion)
  • "A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges" (2020, Neurocomputing)
  • "Multi-modality approaches for medical support systems: A systematic review of the last decade" (2023, Information Fusion)
  • "How to design the fair experimental classifier evaluation" (2021, Applied Soft Computing)
  • "EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population" (2023, Computers in Biology and Medicine)

Salvador García frequently publishes in a number of venues, including:

  • arXiv (Cornell University)
  • Information Fusion
  • Neurocomputing
  • Applied Soft Computing
  • Applied Intelligence

The scientist collaborates often with several peers in the field, such as:

  • Francisco Herrera
  • Germán González-Almagro
  • José-Ramón Cano
  • Juan Luis Suárez
  • Julián Luengo

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

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

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

  • 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

  • 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

  • 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

  • Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study

    Salvador Garcia;Joaquin Derrac;Jose Ramon Cano;Francisco Herrera

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

    S. García;A. Fernández;J. Luengo;F. Herrera

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

    Jacinto Carrasco;Salvador García;María del Mar Rueda;S. Das

  • Big data preprocessing: methods and prospects

    Salvador García;Sergio Ramírez-Gallego;Julián Luengo;José Manuel Benítez

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

    Salvador Garcia;J. Luengo;José Antonio Sáez;Victoria López

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

    Isaac Triguero;Salvador García;Francisco Herrera

  • A survey on data preprocessing for data stream mining

    Sergio Ramrez-Gallego;Bartosz Krawczyk;Salvador Garca;Micha Woniak

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

    Sergio González;Salvador García;Javier Del Ser;Lior Rokach

  • Evolutionary undersampling for classification with imbalanced datasets: Proposals and taxonomy

    Salvador García;Francisco Herrera

  • A practical tutorial on autoencoders for nonlinear feature fusion: taxonomy, models, software and guidelines

    David Charte;Francisco Charte;Salvador García;María José del Jesus

  • A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets

    Alberto Fernández;Salvador García;María José del Jesus;Francisco Herrera

  • A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification

    I. Triguero;J. Derrac;S. Garcia;F. Herrera

Frequent Co-Authors

Francisco Herrera
Francisco Herrera University of Granada
Julián Luengo
Julián Luengo University of Granada
Isaac Triguero
Isaac Triguero University of Nottingham
Alberto Fernández
Alberto Fernández University of Granada
José Manuel Benítez
José Manuel Benítez University of Granada
Bartosz Krawczyk
Bartosz Krawczyk Rochester Institute of Technology
María José del Jesus
María José del Jesus University of Jaén
Javier Del Ser
Javier Del Ser University of the Basque Country
Pedro Antonio Gutiérrez
Pedro Antonio Gutiérrez University of Córdoba
Chris Cornelis
Chris Cornelis Ghent University

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