World's Best Scientists 2026 revealed!
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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
42
Citations
11899
World Ranking
8187
National Ranking
111

Manuel Lozano 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 Manuel Lozano 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: 113 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Manuel Lozano 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 Manuel Lozano 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: 42 D-Index — 43rd percentile

43% 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

Manuel Lozano is affiliated with the University of Granada in Spain. Their research spans multiple disciplines, predominantly focusing on Medicine, Computer Science, and Engineering. Within these broad fields, their work further specializes in subfields including Industrial and Manufacturing Engineering, Orthopedics and Sports Medicine, Statistical and Nonlinear Physics, Artificial Intelligence, and Dermatology.

Their research covers a variety of topics, with notable concentration on Vehicle Routing Optimization Methods, Metaheuristic Optimization Algorithms Research, Scheduling and Optimization Algorithms, Sports Performance and Training, Sports Injuries and Prevention, Complex Network Analysis Techniques, and Opinion Dynamics and Social Influence.

Manuel Lozano has published research papers in several recognized venues:

  • Network reconstruction from betweenness centrality by artificial bee colony, 2021, Swarm and Evolutionary Computation
  • Population-based iterated greedy algorithm for the S-labeling problem, 2023, Computers & Operations Research
  • Match activity profile analysis during professional men's double pickleball tournaments, 2025, International Journal of Performance Analysis in Sport
  • Comments on: Tabu search tutorial. A Graph Drawing Application, 2021, Top
  • Match activity profile analysis during professional single male pickleball matches, 2025, International Journal of Sports Science & Coaching

Frequent coauthors in Manuel Lozano's research include Francisco J. Rodríguez, Martí Casals, Rodrigo Ampuero, Josep Campos-Rius, and Ernest Baiget, each having collaborated on multiple publications.

The scientist has contributed articles to publication venues such as Swarm and Evolutionary Computation, Computers & Operations Research, International Journal of Performance Analysis in Sport, Top, and International Journal of Sports Science & Coaching.

Best Publications

  • 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

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

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

  • Tuning fuzzy logic controllers by genetic algorithms

    Francisco Herrera;Manuel Lozano;José L. Verdegay

  • A taxonomy for the crossover operator for real-coded genetic algorithms: An experimental study

    Francisco Herrera;Manuel Lozano;Ana M. Sánchez

  • Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study

    J.R. Cano;F. Herrera;M. Lozano

  • Real-coded memetic algorithms with crossover hill-climbing

    Manuel Lozano;Francisco Herrera;Natalio Krasnogor;Daniel Molina

  • Gradual distributed real-coded genetic algorithms

    F. Herrera;M. Lozano

  • A learning process for fuzzy control rules using genetic algorithms

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

  • Global and local real-coded genetic algorithms based on parent-centric crossover operators

    Carlos García-Martínez;Manuel Lozano;Francisco Herrera;Daniel Molina

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

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

  • Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: Overview and progress report

    M. Lozano;C. García-Martínez

  • Replacement strategies to preserve useful diversity in steady-state genetic algorithms

    Manuel Lozano;Francisco Herrera;José Ramón Cano

  • Memetic algorithms for continuous optimisation based on local search chains

    Daniel Molina;Manuel Lozano;Carlos García-Martínez;Francisco Herrera

  • Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems

    M. Lozano;D. Molina;F. Herrera

  • MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization

    Daniel Molina;Manuel Lozano;Francisco Herrera

  • Hybrid crossover operators for real-coded genetic algorithms: an experimental study

    F. Herrera;M. Lozano;A. M. Sánchez

  • Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions

    F. Herrera;M. Lozano

  • MOGUL: A Methodology to Obtain Genetic Fuzzy Rule-Based Systems under the Iterative Rule Learning Approach*

    O. Cordón;M. J. del Jesus;F. Herrera;M. Lozano

  • Stratification for scaling up evolutionary prototype selection

    José Ramón Cano;Francisco Herrera;Manuel Lozano

  • Adaptive local search parameters for real-coded memetic algorithms

    D. Molina;F. Herrera;M. Lozano

Frequent Co-Authors

Francisco Herrera
Francisco Herrera University of Granada
Ana M. Sanchez
Ana M. Sanchez University of Warwick
José L. Verdegay
José L. Verdegay University of Granada
Christian Blum
Christian Blum Spanish National Research Council
Rafael Martí
Rafael Martí University of Valencia
Oscar Cordón
Oscar Cordón University of Granada
Natalio Krasnogor
Natalio Krasnogor Newcastle University
Fred Glover
Fred Glover University of Colorado Boulder
Salvador García
Salvador García University of Granada
Abraham Duarte
Abraham Duarte King Juan Carlos University

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