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

D-Index & Metrics

Computer Science

D-Index
81
Citations
55836
World Ranking
987
National Ranking
24

Luca Maria Gambardella 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 Luca Maria Gambardella 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: 366 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.

Luca Maria Gambardella 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 Luca Maria Gambardella 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: 81 D-Index — 93rd percentile

93% 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 Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Luca Maria Gambardella is affiliated with the Dalle Molle Institute for Artificial Intelligence Research in Switzerland. Their research spans several fields and subfields within computer science and engineering, focusing primarily on artificial intelligence and its applications.

The main fields of study in their work include:

  • Computer Science
  • Engineering

Within these broader domains, they focus on specific subfields such as:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering
  • Human-Computer Interaction
  • Aerospace Engineering

Their research topics reveal an emphasis on applied techniques and systems for detection, optimization, and interaction. The main topics covered are:

  • Anomaly Detection Techniques and Applications
  • Vehicle Routing Optimization Methods
  • Robotics and Sensor-Based Localization
  • Teaching and Learning Programming
  • Advanced Malware Detection Techniques
  • Hand Gesture Recognition Systems
  • Advanced Neural Network Applications

Publications by Gambardella have appeared in a variety of venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Robotics and Automation Letters
  • Computers in Human Behavior Reports
  • eLife

Recent papers authored or coauthored by Gambardella reflect a diversity of subjects from AI-powered robotics to optimization algorithms and neural network applications. Notable recent papers include:

  • Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs, 2022, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
  • A Tabu Search algorithm for the Probabilistic Orienteering Problem, 2020, Computers & Operations Research
  • Path Planning With Local Motion Estimations, 2020, IEEE Robotics and Automation Letters
  • Measurement and inspection of electrical discharge machined steel surfaces using deep neural networks, 2020, Machine Vision and Applications
  • The CT-cube: A framework for the design and the assessment of computational thinking activities, 2022, Computers in Human Behavior Reports

Throughout their career, Gambardella has collaborated extensively, with frequent coauthors including:

  • Alessandro Giusti
  • Jérôme Guzzi
  • Dario Mantegazza
  • Roberto Montemanni
  • Giorgia Adorni

Best Publications

  • Ant colony system: a cooperative learning approach to the traveling salesman problem

    M. Dorigo;L.M. Gambardella

  • Ant algorithms for discrete optimization

    Marco Dorigo;Gianni Di Caro;Luca M. Gambardella

  • Ant colonies for the travelling salesman problem

    Marco Dorigo;Luca Maria Gambardella

  • Mitosis detection in breast cancer histology images with deep neural networks.

    Dan Claudio Ciresan;Alessandro Giusti;Luca Maria Gambardella;Juergen Schmidhuber

  • Flexible, high performance convolutional neural networks for image classification

    Dan C. Cireşan;Ueli Meier;Jonathan Masci;Luca M. Gambardella

  • Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images

    Dan Ciresan;Alessandro Giusti;Luca M. Gambardella;Jürgen Schmidhuber

  • Deep, big, simple neural nets for handwritten digit recognition

    Dan Claudiu Cireşan;Ueli Meier;Luca Maria Gambardella;Jürgen Schmidhuber

  • MACS-VRPTW: a multiple ant colony system for vehicle routing problems with time windows

    Luca Maria Gambardella;Éric Taillard;Giovanni Agazzi

  • Ant-Q: a reinforcement learning approach to the traveling salesman problem

    Luca Maria Gambardella;Marco Dorigo

  • Ant colonies for the quadratic assignment problem

    Luca Maria Gambardella;Éric E.D. Taillard;Marco Dorigo

  • A survey on metaheuristics for stochastic combinatorial optimization

    Leonora Bianchi;Marco Dorigo;Luca Maria Gambardella;Walter J. Gutjahr

  • AntHocNet: an adaptive nature-inspired algorithm for routing in mobile ad hoc networks

    Gianni Di Caro;Frederick Ducatelle;Luca Maria Gambardella

  • Solving symmetric and asymmetric TSPs by ant colonies

    L.M. Gambardella;M. Dorigo

  • A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots

    Alessandro Giusti;Jerome Guzzi;Dan C. Ciresan;Fang-Lin He

  • Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

    Dan Claudiu Ciresan;Ueli Meier;Luca Maria Gambardella;Juergen Schmidhuber

  • Max-pooling convolutional neural networks for vision-based hand gesture recognition

    Jawad Nagi;Frederick Ducatelle;Gianni A. Di Caro;Dan Ciresan

  • Effective Neighborhood Functions for the Flexible Job Shop Problem

    M. Mastrolilli;L. M. Gambardella

  • Convolutional Neural Network Committees for Handwritten Character Classification

    Dan Claudiu Ciresan;Ueli Meier;Luca Maria Gambardella;Jurgen Schmidhuber

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

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

  • Ant colony system for a dynamic vehicle routing problem

    Roberto Montemanni;Luca Maria Gambardella;Andrea Emilio Rizzoli;Alberto V. Donati

  • Time dependent vehicle routing problem with a multi ant colony system

    Alberto V. Donati;Roberto Montemanni;Norman Casagrande;Andrea Emilio Rizzoli

Frequent Co-Authors

Gianni A. Di Caro
Gianni A. Di Caro Carnegie Mellon University
Roberto Montemanni
Roberto Montemanni University of Modena and Reggio Emilia
Marco Dorigo
Marco Dorigo Université Libre de Bruxelles
Andrea Emilio Rizzoli
Andrea Emilio Rizzoli Dalle Molle Institute for Artificial Intelligence Research
Francesco Mondada
Francesco Mondada École Polytechnique Fédérale de Lausanne
Jürgen Schmidhuber
Jürgen Schmidhuber King Abdullah University of Science and Technology
Thomas Stützle
Thomas Stützle Université Libre de Bruxelles
Mauro Birattari
Mauro Birattari Université Libre de Bruxelles
Stefano Nolfi
Stefano Nolfi National Research Council (CNR)
Vito Trianni
Vito Trianni National Research Council (CNR)

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