World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
20489
World Ranking
7358
National Ranking
166

Raja Chatila 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 Raja Chatila 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: 178 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Raja Chatila 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 Raja Chatila 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

  • 2013 - IEEE Fellow For contributions to robot navigation and cognitive robotics

Overview

Raja Chatila is affiliated with Sorbonne University in France and specializes in computer science, with a primary focus on artificial intelligence and related subfields. The scientist's body of work covers diverse areas including cognitive neuroscience, safety research, control and systems engineering, and modeling and simulation.

The research contributions span multiple topics, most notably:

  • Explainable Artificial Intelligence (XAI)
  • Ethics and Social Impacts of AI
  • Adversarial Robustness in Machine Learning
  • Robot Manipulation and Learning
  • Reinforcement Learning in Robotics
  • Neuroethics, Human Enhancement, Biomedical Innovations
  • COVID-19 epidemiological studies

Raja Chatila has published extensively in notable venues. Frequent publication outlets include:

  • Proceedings of the IEEE
  • arXiv (Cornell University)
  • Science and Engineering Ethics
  • ACM Computing Surveys
  • AI Perspectives

Some recent papers authored or co-authored by Raja Chatila include:

  • "Ethical Decision Making in Autonomous Vehicles: The AV Ethics Project" (2020) in Science and Engineering Ethics
  • "A Practical Tutorial on Explainable AI Techniques" (2024) in ACM Computing Surveys
  • "Human-centered AI and robotics" (2022) in AI Perspectives
  • "Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification" (2022) in Knowledge-Based Systems
  • "Generative AI models should include detection mechanisms as a condition for public release" (2023) in Ethics and Information Technology

The scientist has collaborated frequently with several researchers, including:

  • D.J. Allstot
  • John Baillieul
  • Gert Cauwenberghs
  • Georges Gielen
  • Christofer Hierold

Raja Chatila was recognized as an IEEE Fellow in 2013 for contributions to robot navigation and cognitive robotics, reflecting a significant engagement in research related to robotics and control.

Best Publications

  • Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

    Alejandro Barredo Arrieta;Natalia Díaz-Rodríguez;Javier Del Ser;Javier Del Ser;Adrien Bennetot;Adrien Bennetot

  • AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

    Luciano Floridi;Luciano Floridi;Josh Cowls;Josh Cowls;Monica Beltrametti;Raja Chatila

  • Position referencing and consistent world modeling for mobile robots

    R. Chatila;J. Laumond

  • An Architecture for Autonomy

    Rachid Alami;Raja Chatila;Sara Fleury;Malik Ghallab

  • Stochastic multisensory data fusion for mobile robot location and environment modeling

    Philippe Moutarlier;Raja Chatila

  • Safe and Dependable Physical Human-Robot Interaction in Anthropic Domains: State of the Art and Challenges

    R. Alami;A. Albu-Schaeffer;A. Bicchi;R. Bischoff

  • SPENCER: A Socially Aware Service Robot for Passenger Guidance and Help in Busy Airports

    Rudolph Triebel;Kai Oliver Arras;Rachid Alami;Lucas Beyer

  • G/sup en/oM: a tool for the specification and the implementation of operating modules in a distributed robot architecture

    S. Fleury;M. Herrb;R. Chatila

  • PRS: a high level supervision and control language for autonomous mobile robots

    F.F. Ingrand;R. Chatila;R. Alami;F. Robert

  • Autonomous Rover Navigation on Unknown Terrains

    Simon Lacroix;Anthony Mallet;David Bonnafous;Gérard Bauzil

  • Dynamic path modification for car-like nonholonomic mobile robots

    M. Khatib;H. Jaouni;R. Chatila;J.P. Laumond

  • A multi-level planning and navigation system for a mobile robot: a first approach to HILARE

    Georges Giralt;Ralph Sobek;Raja Chatila

  • The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems

    Raja Chatila;John C. Havens

  • An Experimental System for Incremental Environment Modelling by an Autonomous Mobile Robot

    Philippe Moutarlier;Raja Chatila

  • Primitives for smoothing mobile robot trajectories

    S. Fleury;P. Soueres;J.-P. Laumond;R. Chatila

  • An Integrated Navigation and Motion Control System for Autonomous Multisensory Mobile Robots

    Unknown

  • Reactive navigation in outdoor environments using potential fields

    H. Haddad;M. Khatib;S. Lacroix;R. Chatila

  • Path planning and environment learning in a mobile robot system

    Raja Chatila

  • Plan execution monitoring and control architecture for mobile robots

    F.R. Noreils;R.G. Chatila

  • Autonomous Rover Navigation on Unknown Terrains Functions and Integration

    Simon Lacroix;Anthony Mallet;David Bonnafous;Gérard Bauzil

  • Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on

    Jean-Pierre Merlet;Raja Chatila;Christian Laugier

  • A tool for the specification and the implementation of operating modules in a distributed robot architecture

    Sara Fleury;Matthieu Herrb;Raja Chatila

Frequent Co-Authors

Rachid Alami
Rachid Alami Laboratory for Analysis and Architecture of Systems
Simon Lacroix
Simon Lacroix Laboratory for Analysis and Architecture of Systems
Thierry Siméon
Thierry Siméon Laboratory for Analysis and Architecture of Systems
Jean-Paul Laumond
Jean-Paul Laumond École Normale Supérieure
Virginia Dignum
Virginia Dignum Umeå University
Gerd Hirzinger
Gerd Hirzinger German Aerospace Center
Javier Del Ser
Javier Del Ser University of the Basque Country
Antonio Bicchi
Antonio Bicchi Italian Institute of Technology
Ludovic Righetti
Ludovic Righetti New York University
Luciano Floridi
Luciano Floridi University of Oxford

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science can open doors to many related fields, especially as online education expands. For those looking to fast-track their studies, a computer science accelerated program can help you earn your degree faster and enter the workforce sooner.

Students interested in sustainability might consider environmental engineering degrees online. These programs blend computing skills with environmental problem-solving, preparing graduates for roles in eco-friendly technology and engineering.

Engineering is another discipline with high demand for tech skills. Comparing programs is important, especially when considering affordability. Investigate mechanical engineering degree online cost to find programs that fit your budget while building strong technical expertise.

For those with an interest in science, an online bachelor's degree in physics may be a good fit. These degrees often cross over with computer science through coursework in algorithms, simulation, and data analysis. Each of these pathways leads to diverse career opportunities in tech, engineering, and beyond.

Best Scientists Citing Raja Chatila

Trending Scientists

Recently Published Articles