World's Best Scientists 2026 revealed!
José L. Verdegay

José L. Verdegay

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
16187
World Ranking
3540
National Ranking
75

José L. Verdegay publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where José L. Verdegay sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 269 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

José L. Verdegay D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where José L. Verdegay sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 52 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

José L. Verdegay is affiliated with the University of Granada in Spain and has an extensive research profile primarily focused on engineering and decision sciences. Their work encompasses considerable involvement in control and systems engineering, management science and operations research, statistics and probability, industrial and manufacturing engineering, and automotive engineering.

The scientist's research topics cover various areas, including:

  • Optimization and Mathematical Programming
  • Multi-Criteria Decision Making
  • Fuzzy Systems and Optimization
  • Vehicle Routing Optimization Methods
  • Transportation and Mobility Innovations
  • Transportation Planning and Optimization
  • Maritime Ports and Logistics

Several recent papers authored or co-authored by José L. Verdegay include:

  • Multi-objective fully intuitionistic fuzzy fixed-charge solid transportation problem, 2021, Complex & Intelligent Systems
  • RETRACTED ARTICLE: Two-echelon electric vehicle routing problem with a developed moth-flame meta-heuristic algorithm, 2022, Operations Management Research
  • Fixed-charge solid transportation problem with budget constraints based on carbon emission in neutrosophic environment, 2022, Soft Computing
  • An epsilon-constraint method for fully fuzzy multiobjective linear programming, 2020, International Journal of Intelligent Systems
  • On the Application of a Lexicographic Method to Fuzzy Linear Programming Problems, 2022, Journal of Computational and Cognitive Engineering

José L. Verdegay collaborates frequently with a number of co-authors, including:

  • David A. Pelta
  • Boris Pérez-Cañedo
  • Pavel Novoa-Hernández
  • Eduardo Morales
  • Carlos Cruz Corona

Regarding publication venues, the scientist has contributed multiple articles to several outlets such as:

  • arXiv (Cornell University)
  • Operations Management Research
  • International Journal of Intelligent Systems
  • Metaverse
  • Complex & Intelligent Systems

In terms of book publications, José L. Verdegay has authored works published by Springer Nature, including:

  • Computational Intelligence Methodologies Applied to Sustainable Development Goals, 2022
  • Computational Intelligence in Emerging Technologies for Engineering Applications, 2020

Best Publications

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

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

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

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

  • Direct approach processes in group decision making using linguistic OWA operators

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

  • A sequential selection process in group decision making with a linguistic assessment approach

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

  • On aggregation operations of linguistic labels

    M. Delgado;J. L. Verdegay;M. A. Vila

  • Tuning fuzzy logic controllers by genetic algorithms

    Francisco Herrera;Manuel Lozano;José L. Verdegay

  • Linguistic decision-making models

    M. Delgado;J. L. Verdegay;M. A. Vila

  • A rational consensus model in group decision making using linguistic assessments

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

  • A general model for fuzzy linear programming

    H. Rommelfanger;J. L. Verdegay;M. A. Vila

  • Linear programming problems and ranking of fuzzy numbers

    L. Campos;J. L. Verdegay

  • A learning process for fuzzy control rules using genetic algorithms

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

  • Fuzzy optimization for supply chain planning under supply, demand and process uncertainties

    Unknown

  • Coverage path planning with unmanned aerial vehicles for 3D terrain reconstruction

    Marina Torres;David A. Pelta;José L. Verdegay;Juan C. Torres

  • Fuzzy connectives based crossover operators to model genetic algorithms population diversity

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

  • A dual approach to solve the fuzzy linear programming problem

    Jose L Verdegay

  • A procedure for ranking fuzzy numbers using fuzzy relations

    M. Delgado;J. L. Verdegay;M. A. Vila

  • A linguistic decision process in group decision making

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

  • Genetic Algorithms and Soft Computing

    Francisco Herrera;J. L. Verdegay

  • Choice processes for non-homogeneous group decision making in linguistic setting

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

  • Solving fuzzy solid transportation problems by an evolutionary algorithm based parametric approach

    Fernando Jiménez;José L. Verdegay

  • Fuzzy Optimization: Recent Advances

    Miguel Delgado;M. A. Vila;J. Kaprzyk;J. L. Verdegay

  • Uncertain solid transportation problems

    F. Jiménez;J. L. Verdegay

  • Linguistic measures based on fuzzy coincidence for reaching consensus in group decision making

    Francisco Herrera;Enrique Herrera-Viedma;José L. Verdegay

Frequent Co-Authors

Francisco Herrera
Francisco Herrera University of Granada
Miguel Delgado
Miguel Delgado University of Granada
Maria-Amparo Vila
Maria-Amparo Vila University of Granada
Ali Ebrahimnejad
Ali Ebrahimnejad Islamic Azad University Mahshahr
Enrique Herrera-Viedma
Enrique Herrera-Viedma University of Granada
Manuel Lozano
Manuel Lozano University of Granada
Sankar Kumar Roy
Sankar Kumar Roy Vidyasagar University
Stefan Chanas
Stefan Chanas Wrocław University of Science and Technology
Pandian Vasant
Pandian Vasant Ton Duc Thang University
Luis Magdalena
Luis Magdalena Technical University of Madrid

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