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D-Index & Metrics

Computer Science

D-Index
44
Citations
8997
World Ranking
7524
National Ranking
447

Alessio Lomuscio 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 Alessio Lomuscio 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: 230 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Alessio Lomuscio 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 Alessio Lomuscio 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: 44 D-Index — 48th percentile

48% 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

  • 2020 - ACM Distinguished Member

Overview

Alessio Lomuscio is a researcher affiliated with Imperial College London in the United Kingdom, specializing in computer science with a primary focus on artificial intelligence. Their scholarly output spans key areas such as adversarial robustness in machine learning, formal methods in verification, neural networks and applications, explainable artificial intelligence, multi-agent systems and negotiation, advanced neural network applications, and machine learning algorithms.

Their research contributions include publications in prominent venues, highlighting a spectrum of topics within artificial intelligence and verification disciplines. Some notable recent papers are:

  • Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Formal Verification of Neural Agents in Non-Deterministic Environments, 2021, Autonomous Agents and Multi-Agent Systems
  • Verification of Multi-Agent Systems with Public Actions Against Strategy Logic, 2020, Artificial Intelligence
  • Repairing Misclassifications in Neural Networks Using Limited Data, 2022, Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
  • Approximating Perfect Recall when Model Checking Strategic Abilities: Theory and Applications, 2022, Journal of Artificial Intelligence Research

The frequent publication venues for Lomuscio's work include:

  • Proceedings of the AAAI Conference on Artificial Intelligence
  • arXiv (Cornell University)
  • Artificial Intelligence
  • Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
  • Journal of Artificial Intelligence Research

Lomuscio collaborates regularly with a set of co-authors, contributing collectively to multiple research projects. Their most frequent collaborators are:

  • Panagiotis Kouvaros
  • Patrick Henriksen
  • Yang Zheng
  • Benedikt Brückner
  • Francesco Belardinelli

Their research broadly covers the following fields and subfields of study:

  • Computer Science
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Software
  • Electrical and Electronic Engineering

Within these domains, the main topics of Lomuscio's work focus on:

  • Adversarial Robustness in Machine Learning
  • Formal Methods in Verification
  • Neural Networks and Applications
  • Explainable Artificial Intelligence (XAI)
  • Multi-Agent Systems and Negotiation
  • Advanced Neural Network Applications
  • Machine Learning and Algorithms

In 2020, Lomuscio was recognized as an ACM Distinguished Member.

Best Publications

  • Automated Negotiation: Prospects, Methods and Challenges

    N. R. Jennings;P. Faratin;A. R. Lomuscio;S. Parsons

  • A Classification Scheme for Negotiation in Electronic Commerce

    Alessio Lomuscio;Michael Wooldridge;Nicholas R. Jennings

  • MCMAS: A Model Checker for the Verification of Multi-Agent Systems

    Alessio Lomuscio;Hongyang Qu;Franco Raimondi

  • An approach to reachability analysis for feed-forward ReLU neural networks.

    Alessio Lomuscio;Lalit Maganti

  • Verifying epistemic properties of multi-agent systems via bounded model checking

    W. Penczek;A. Lomuscio

  • MCMAS: an open-source model checker for the verification of multi-agent systems

    Alessio Lomuscio;Hongyang Qu;Franco Raimondi

  • Automatic verification of multi-agent systems by model checking via ordered binary decision diagrams

    Franco Raimondi;Alessio Lomuscio

  • MCMAS: a model checker for multi-agent systems

    Alessio Lomuscio;Franco Raimondi

  • Deontic interpreted systems

    Alessio Lomuscio;Marek J. Sergot

  • Formalisms for multi-agent systems

    Mark d'Inverno;Michael Fisher;Alessio R. Lomuscio;Michael Luck

  • Towards verifying contract regulated service composition

    Alessio Lomuscio;Hongyang Qu;Monika Solanki

  • Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis

    Elena Botoeva;Panagiotis Kouvaros;Jan Kronqvist;Alessio Lomuscio

  • Partial Order Reductions for Model Checking Temporal-epistemic Logics over Interleaved Multi-agent Systems

    Alessio Lomuscio;Wojciech Penczek;Hongyang Qu

  • Model checking knowledge, strategies, and games in multi-agent systems

    Alessio Lomuscio;Franco Raimondi

  • MCMAS-SLK: A Model Checker for the Verification of Strategy Logic Specifications

    Petr Čermák;Alessio Lomuscio;Fabio Mogavero;Aniello Murano

  • On the complexity of practical ATL model checking

    Wiebe van der Hoek;Alessio Lomuscio;Michael Wooldridge

  • Verification of Multiagent Systems via Unbounded Model Checking

    Magdalena Kacprzak;Alessio Lomuscio;Wojciech Penczek

  • An abstraction technique for the verification of artifact-centric systems

    Francesco Belardinelli;Alessio Lomuscio;Fabio Patrizi

  • Verification of Multiagent Systems via Ordered Binary Decision Diagrams: An Algorithm and Its Implementation

    Franco Raimondi;Alessio Lomuscio

  • Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems

    Ana Bazzan;Michael Huhns;Alessio Lomuscio;Paul Scerri

  • Efficient Neural Network Verification via Adaptive Refinement and Adversarial Search.

    Patrick Henriksen;Alessio R. Lomuscio

  • Towards model checking interpreted systems

    A. Lomuscio;F. Raimondi;M. J. Sergot

Frequent Co-Authors

Michael Wooldridge
Michael Wooldridge University of Oxford
Marek Sergot
Marek Sergot Imperial College London
Mark Ryan
Mark Ryan University of Birmingham
Moshe Y. Vardi
Moshe Y. Vardi Rice University
Giuseppe De Giacomo
Giuseppe De Giacomo Sapienza University of Rome
Nicholas R. Jennings
Nicholas R. Jennings Loughborough University
Wiebe van der Hoek
Wiebe van der Hoek University of Liverpool
Stefan Edelkamp
Stefan Edelkamp Charles University
Maarten de Rijke
Maarten de Rijke University of Amsterdam
Michael Fisher
Michael Fisher University of Manchester

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