World's Best Scientists 2026 revealed!
Antonio J. Nebro

Antonio J. Nebro

D-Index & Metrics

Computer Science

D-Index
38
Citations
8580
World Ranking
10041
National Ranking
159

Antonio J. Nebro 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 Antonio J. Nebro 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: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Antonio J. Nebro 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 Antonio J. Nebro 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Antonio J. Nebro is affiliated with the University of Malaga in Spain and has a research focus primarily situated within the fields of Computer Science, Biochemistry, Genetics and Molecular Biology, and Engineering. Their scholarly contributions span topics that include advanced multi-objective optimization algorithms, metaheuristic optimization algorithms research, and evolutionary algorithms and applications, with additional work in RNA and protein synthesis mechanisms, scheduling and optimization algorithms, optimal experimental design methods, and process optimization and integration.

Their publication record includes work in various scientific venues, notably:

  • Engineering Optimization
  • Swarm and Evolutionary Computation
  • Applied Sciences
  • Mathematical and Computational Applications
  • Knowledge-Based Systems

Recent papers authored or co-authored by Antonio J. Nebro cover a range of topics in optimization and computational methods. These include:

  • "A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems," 2021, Swarm and Evolutionary Computation
  • "Energy-Aware Multi-Objective Job Shop Scheduling Optimization with Metaheuristics in Manufacturing Industries: A Critical Survey, Results, and Perspectives," 2022, Applied Sciences
  • "Is NSGA-II Ready for Large-Scale Multi-Objective Optimization?", 2022, Mathematical and Computational Applications
  • "TITAN: A knowledge-based platform for Big Data workflow management," 2021, Knowledge-Based Systems
  • "Merge Nondominated Sorting Algorithm for Many-Objective Optimization," 2020, IEEE Transactions on Cybernetics

The scientist frequently collaborates with several co-authors, with multiple joint publications documented with:

  • José García-Nieto
  • José F. Aldana-Montes
  • José F. Aldana-Martín
  • Carlos A. Coello Coello
  • María del Mar Roldán-García

Antonio J. Nebro's subfields of study demonstrate a multidisciplinary approach combining computational and biological sciences. Sub-disciplines include:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Molecular Biology
  • Industrial and Manufacturing Engineering
  • Computer Networks and Communications

Best Publications

  • jMetal: A Java framework for multi-objective optimization

    Juan J. Durillo;Antonio J. Nebro

  • SMPSO: A new PSO-based metaheuristic for multi-objective optimization

    A.J. Nebro;J.J. Durillo;J. Garcia-Nieto;C.A. Coello Coello

  • MOCell: A cellular genetic algorithm for multiobjective optimization

    Antonio J. Nebro;Juan J. Durillo;Francisco Luna;Bernabé Dorronsoro

  • AbYSS: Adapting Scatter Search to Multiobjective Optimization

    Antonio J. Nebro;Francisco Luna;Enrique Alba;BernabÉ Dorronsoro

  • MOCell: A cellular genetic algorithm for multiobjective optimization

    Unknown

  • A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems

    Eneko Osaba;Esther Villar-Rodriguez;Javier Del Ser;Antonio J. Nebro

  • The jMetal framework for multi-objective optimization: Design and architecture

    Juan J. Durillo;Antonio J. Nebro;Enrique Alba

  • A survey of multi-objective metaheuristics applied to structural optimization

    Gustavo R. Zavala;Antonio J. Nebro;Francisco Luna;Carlos A. Coello Coello

  • Multi-Objective Particle Swarm Optimizers: An Experimental Comparison

    Juan J. Durillo;José García-Nieto;Antonio J. Nebro;Carlos A. Coello

  • jMetalPy: A Python framework for multi-objective optimization with metaheuristics

    Antonio Benítez-Hidalgo;Antonio J. Nebro;José García-Nieto;Izaskun Oregi

  • Redesigning the jMetal Multi-Objective Optimization Framework

    Antonio J. Nebro;Juan J. Durillo;Matthieu Vergne

  • jMetal: a Java Framework for Developing Multi-Objective Optimization Metaheuristics

    Juan J. Durillo;Antonio J. Nebro;Francisco Luna;Bernabe Dorronsoro

  • A Study of Multiobjective Metaheuristics When Solving Parameter Scalable Problems

    J J Durillo;A J Nebro;C A C Coello;José García-Nieto

  • A cellular multi-objective genetic algorithm for optimal broadcasting strategy in metropolitan MANETs

    E. Alba;B. Dorronsoro;F. Luna;A. J. Nebro

  • Heterogeneous computing and parallel genetic algorithms

    Enrique Alba;Antonio J. Nebro;José M. Troya

  • A study of the bi-objective next release problem

    Juan J. Durillo;Yuanyuan Zhang;Enrique Alba;Mark Harman

  • Why Is Optimization Difficult

    Thomas Weise;Michael W. Zapf;Raymond Chiong;Antonio J. Nebro

  • Design issues in a multiobjective cellular genetic algorithm

    Antonio J. Nebro;Juan J. Durillo;Francisco Luna;Bernabé Dorronsoro

  • A study of master-slave approaches to parallelize NSGA-II

    J.J. Durillo;A.J. Nebro;F. Luna;E. Alba

  • Multi-objective optimization using metaheuristics: non-standard algorithms

    El-Ghazali Talbi;El-Ghazali Talbi;Matthieu Basseur;Antonio J. Nebro;Enrique Alba

  • Parallel heterogeneous genetic algorithms for continuous optimization

    E. Alba;F. Luna;A. J. Nebro;J. M. Troya

Frequent Co-Authors

Enrique Alba
Enrique Alba University of Malaga
Juan J. Durillo
Juan J. Durillo Leibniz Supercomputing Centre
Javier Del Ser
Javier Del Ser University of the Basque Country
Bernabé Dorronsoro
Bernabé Dorronsoro University of Cádiz
José M. Troya
José M. Troya University of Malaga
Pascal Bouvry
Pascal Bouvry University of Luxembourg
El-Ghazali Talbi
El-Ghazali Talbi University of Lille
Kaisa Miettinen
Kaisa Miettinen University of Jyväskylä
Carlos Cotta
Carlos Cotta University of Malaga

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