World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
6418
World Ranking
7314
National Ranking
189

Luca Iocchi 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 Iocchi 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: 289 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Luca Iocchi 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 Iocchi 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Luca Iocchi is affiliated with Sapienza University of Rome in Italy. Their research primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence and its applications across various domains.

Their recent published works include:

  • Scalable and Cooperative Deep Reinforcement Learning Approaches for Multi-UAV Systems: A Systematic Review, 2023, Drones
  • Image Classification With Small Datasets: Overview and Benchmark, 2022, IEEE Access
  • Learning Newtonian Physics through Programming Robot Experiments, 2021, Technology Knowledge and Learning
  • Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification, 2021, IRIS Research product catalog (Sapienza University of Rome)
  • Restraining Bolts for Reinforcement Learning Agents, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

The scientist frequently collaborates with several coauthors, including:

  • Fabio Patrizi
  • Lorenzo Brigato
  • Giuseppe De Giacomo
  • Marco Favorito
  • Christian Napoli

Luca Iocchi has published multiple papers in leading venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • OBM Neurobiology
  • Frontiers in Robotics and AI

Their subfields of research include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Radiology, Nuclear Medicine and Imaging

Luca Iocchi works on topics that include:

  • Reinforcement Learning in Robotics
  • Advanced Neural Network Applications
  • COVID-19 diagnosis using AI
  • Domain Adaptation and Few-Shot Learning
  • Robotic Path Planning Algorithms
  • Social Robot Interaction and HRI
  • UAV Applications and Optimization

Best Publications

  • Multirobot systems: a classification focused on coordination

    A. Farinelli;L. Iocchi;D. Nardi

  • RoboCup@Home: Scientific Competition and Benchmarking for Domestic Service Robots

    Thomas Wisspeintner;Tijn van der Zant;Luca Iocchi;Stefan Schiffer

  • Scan Matching in the Hough Domain

    A. Censi;L. Iocchi;G. Grisetti

  • A Close Look at Deep Learning with Small Data

    Lorenzo Brigato;Luca Iocchi

  • Reactivity and Deliberation: A Survey on Multi-Robot Systems

    Luca Iocchi;Daniele Nardi;Massimiliano Salerno

  • Distributed Coordination in Heterogeneous Multi-Robot Systems

    Luca Iocchi;Daniele Nardi;Maurizio Piaggio;Antonio Sgorbissa

  • Distributed on-line Dynamic Task Assignment for Multi-Robot Patrolling

    Alessandro Farinelli;Luca Iocchi;Daniele Nardi

  • Image based Steganography and Cryptography

    Domenico Daniele Bloisi;Luca Iocchi

  • A synthesis of automated planning and reinforcement learning for efficient, robust decision-making

    Matteo Leonetti;Matteo Leonetti;Luca Iocchi;Peter Stone

  • Visually Realistic Mapping of a Planar Environment with Stereo

    Luca Iocchi;Kurt Konolige;Max Bajracharya

  • Multi-objective Exploration and Search for Autonomous Rescue Robots

    Daniele Calisi;Alessandro Farinelli;Luca Iocchi;Daniele Nardi

  • Petri Net Plans

    V. A. Ziparo;L. Iocchi;Pedro U. Lima;D. Nardi

  • OpenRDK: A modular framework for robotic software development

    D. Calisi;A. Censi;L. Iocchi;D. Nardi

  • A 3D Simulator of Multiple Legged Robots Based on USARSim

    Marco Zaratti;Marco Fratarcangeli;Luca Iocchi

  • Coordination in multi-agent RoboCup teams

    Ciprian Candea;Huosheng Hu;Luca Iocchi;Daniele Nardi

  • Real-Time Detection of Independent Motion using Stereo

    Motilal Agrawal;Kurt Konolige;Luca Iocchi

  • Petri Net Plans

    V. A. Ziparo;L. Iocchi

  • ARGOS - A VIDEO SURVEILLANCE SYSTEM FOR BOAT TRAFFIC MONITORING IN VENICE

    Domenico Daniele Bloisi;Luca Iocchi

  • Petri net plans: a formal model for representation and execution of multi-robot plans

    V. A. Ziparo;L. Iocchi;D. Nardi;P. F. Palamara

  • Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications

    Giuseppe De Giacomo;Luca Iocchi;Marco Favorito;Fabio Patrizi

  • Proceedings of the 27th International Conference on Automated Planning and Scheduling, ICAPS 2017

    Valerio Sanelli;Michael Cashmore;Luca Iocchi;Daniele Magazzeni

Frequent Co-Authors

Daniele Nardi
Daniele Nardi Sapienza University of Rome
Giorgio Grisetti
Giorgio Grisetti Sapienza University of Rome
Riccardo Rosati
Riccardo Rosati Sapienza University of Rome
Giuseppe De Giacomo
Giuseppe De Giacomo Sapienza University of Rome
Matteo Matteucci
Matteo Matteucci Polytechnic University of Milan
Paolo Remagnino
Paolo Remagnino Durham University
Tiziana Catarci
Tiziana Catarci Sapienza University of Rome
Kurt Konolige
Kurt Konolige Google (United States)
Thomas Lukasiewicz
Thomas Lukasiewicz University of Oxford
Giuseppe Oriolo
Giuseppe Oriolo Sapienza University of Rome

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