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Computer Science

D-Index
57
Citations
62542
World Ranking
3711
National Ranking
37

Mauro Birattari 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 Mauro Birattari 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: 365 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Mauro Birattari 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 Mauro Birattari 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: 57 D-Index — 74th percentile

74% 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

  • 2018 - ACM Senior Member

Overview

Mauro Birattari is affiliated with the Université Libre de Bruxelles in Belgium. Their scientific work primarily focuses on the intersection of computer science and engineering, with particular expertise in mechanical engineering, artificial intelligence, and computer networks and communications.

Their research explores several main topics, including:

  • Modular Robots and Swarm Intelligence
  • Reinforcement Learning in Robotics
  • Distributed Control Multi-Agent Systems
  • Robot Manipulation and Learning
  • Evolutionary Algorithms and Applications
  • Robotic Path Planning Algorithms
  • Slime Mold and Myxomycetes Research

Birattari has contributed to both theoretical and applied aspects of robot swarms and control software design. Their recent publications include:

  • "Swarm SLAM: Challenges and Perspectives," 2021, Frontiers in Robotics and AI
  • "Empirical assessment and comparison of neuro-evolutionary methods for the automatic off-line design of robot swarms," 2021, Nature Communications
  • "Disentangling automatic and semi-automatic approaches to the optimization-based design of control software for robot swarms," 2020, Nature Machine Intelligence
  • "Automatic Design of Collective Behaviors for Robots that Can Display and Perceive Colors," 2020, Applied Sciences
  • "Phormica: Photochromic Pheromone Release and Detection System for Stigmergic Coordination in Robot Swarms," 2020, Frontiers in Robotics and AI

The venues where Birattari frequently publishes reflect their research interests and include:

  • arXiv (Cornell University)
  • Frontiers in Robotics and AI
  • Zenodo (CERN European Organization for Nuclear Research)
  • PeerJ Computer Science
  • Swarm and Evolutionary Computation

Birattari collaborates with several researchers in the field. Frequent co-authors include:

  • David Garzón Ramos
  • Antoine Ligot
  • Ken Hasselmann
  • Miquel Kegeleirs
  • Gianpiero Francesca

In recognition of their contributions, Birattari was designated as an ACM Senior Member in 2018.

Best Publications

  • Ant colony optimization: artificial ants as a computational intelligence technique

    Marco Dorigo;Mauro Birattari;Thomas Stützle

  • Ant Colony Optimization

    M. Dorigo;M. Birattari;T. Stutzle

  • Ant Colony Optimization.

    Marco Dorigo;Mauro Birattari

  • Swarm robotics: a review from the swarm engineering perspective

    Manuele Brambilla;Eliseo Ferrante;Mauro Birattari;Marco Dorigo

  • The irace package: Iterated racing for automatic algorithm configuration

    Manuel López-Ibáñez;Jérémie Dubois-Lacoste;Leslie Pérez Cáceres;Mauro Birattari

  • A Racing Algorithm for Configuring Metaheuristics

    Mauro Birattari;Thomas Stützle;Luis Paquete;Klaus Varrentrapp

  • ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems

    Carlo Pinciroli;Vito Trianni;Rehan O’Grady;Giovanni Pini

  • Improvement strategies for the F-Race algorithm: sampling design and iterative refinement

    Prasanna Balaprakash;Mauro Birattari;Thomas Stützle

  • Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms

    Marco Dorigo;Dario Floreano;Luca Maria Gambardella;Francesco Mondada

  • F-race and iterated F-race: An overview

    Mauro Birattari;Zhi Yuan;Prasanna Balaprakash;Thomas Stützle

  • Ant Colony Optimization and Swarm Intelligence

    Marco Dorigo;Mauro Birattari;Christian Blum;Luca Maria Gambardella

  • Tuning Metaheuristics: A Machine Learning Perspective

    Mauro Birattari

  • Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm

    M.A. Montes de Oca;T. Stutzle;M. Birattari;M. Dorigo

  • Model-based search for combinatorial optimization: A critical survey

    Mark Zlochin;Mauro Birattari;Nicolas Meuleau;Marco Dorigo

  • Lazy learning for local modelling and control design

    Gianluca Bontempi;Mauro Birattari;Hugues Bersini

  • A comparison of the performance of different metaheuristics on the timetabling problem

    Olivia Rossi-Doria;Michael Sampels;Mauro Birattari;Marco Chiarandini

  • Parameter Adaptation in Ant Colony Optimization

    Thomas Stützle;Manuel López-Ibáñez;Paola Pellegrini;Michael Maur

  • An effective hybrid algorithm for university course timetabling

    Marco Chiarandini;Mauro Birattari;Krzysztof Socha;Olivia Rossi-Doria

  • A comparison of the performance of different metaheuristics on the timetabling problem

    Olivia Rossi-Dorial;Michael Sampels;Mauro Birattari;Marco Chiarandini

  • The problem of tuning metaheuristics as seen from a machine learning perspective

    Mauro Birattari;Marco Dorigo

Frequent Co-Authors

Marco Dorigo
Marco Dorigo Université Libre de Bruxelles
Thomas Stützle
Thomas Stützle Université Libre de Bruxelles
Gianluca Bontempi
Gianluca Bontempi Université Libre de Bruxelles
Hugues Bersini
Hugues Bersini Université Libre de Bruxelles
Luca Maria Gambardella
Luca Maria Gambardella Dalle Molle Institute for Artificial Intelligence Research
Vito Trianni
Vito Trianni National Research Council (CNR)
Gianni A. Di Caro
Gianni A. Di Caro Carnegie Mellon University
Holger H. Hoos
Holger H. Hoos RWTH Aachen University
Andries P. Engelbrecht
Andries P. Engelbrecht Stellenbosch University
Francesco Mondada
Francesco Mondada École Polytechnique Fédérale de Lausanne

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