World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
3170
World Ranking
11851
National Ranking
294

Maud Marchal 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 Maud Marchal 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: 192 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Maud Marchal 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 Maud Marchal 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Maud Marchal is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research intersects several domains within computer science, neuroscience, and engineering, emphasizing tactile interactions, virtual environments, and human-machine interfaces.

Their scholarly output includes publications in key venues such as:

  • IEEE Transactions on Haptics
  • IEEE Transactions on Visualization and Computer Graphics
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Computers & Graphics
  • ACM Transactions on Applied Perception

Among recent papers authored or coauthored by Maud Marchal are:

  • "Altering the Stiffness, Friction, and Shape Perception of Tangible Objects in Virtual Reality Using Wearable Haptics" (2020), IEEE Transactions on Haptics
  • "Electrotactile Feedback Applications for Hand and Arm Interactions: A Systematic Review, Meta-Analysis, and Future Directions" (2022), IEEE Transactions on Haptics
  • "Automatic Shape Control of Deformable Wires Based on Model-Free Visual Servoing" (2020), IEEE Robotics and Automation Letters
  • "Haptics On-Demand": A Survey on Encountered-Type Haptic Displays" (2021), IEEE Transactions on Haptics
  • "Action-Specific Perception & Performance on a Fitts's Law Task in Virtual Reality: The Role of Haptic Feedback" (2022), IEEE Transactions on Visualization and Computer Graphics

They also contributed to books published by Springer Science+Business Media, including:

  • Haptics: Science, Technology, Applications (2022)
  • Virtual Reality and Mixed Reality (2022)

Maud Marchal's research covers multiple main fields and subfields such as:

  • Computer Science
  • Neuroscience
  • Engineering
  • Cognitive Neuroscience
  • Human-Computer Interaction
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Experimental and Cognitive Psychology

Their primary topics of investigation include:

  • Tactile and Sensory Interactions
  • Virtual Reality Applications and Impacts
  • Teleoperation and Haptic Systems
  • Interactive and Immersive Displays
  • Visual perception and processing mechanisms
  • Multisensory perception and integration
  • Advanced Vision and Imaging

Maud Marchal has frequently collaborated with researchers such as:

  • Claudio Pacchierotti
  • Ferran Argelaguet
  • Thomas M. Howard
  • Marie Babel
  • Panagiotis Kourtesis

Best Publications

  • Shake-your-head: revisiting walking-in-place for desktop virtual reality

    Léo Terziman;Maud Marchal;Mathieu Emily;Franck Multon

  • The magic barrier tape: a novel metaphor for infinite navigation in virtual worlds with a restricted walking workspace

    Gabriel Cirio;Maud Marchal;Tony Regia-Corte;Anatole Lécuyer

  • Electrotactile Feedback Applications for Hand and Arm Interactions: A Systematic Review, Meta-Analysis, and Future Directions

    Unknown

  • Joyman: A human-scale joystick for navigating in virtual worlds

    Maud Marchal;Julien Pettre;Anatole Lecuyer

  • Toward "Pseudo-Haptic Avatars": Modifying the Visual Animation of Self-Avatar Can Simulate the Perception of Weight Lifting

    David Antonio Gomez Jauregui;Ferran Argelaguet;Anne-Helene Olivier;Maud Marchal

  • Elastic-Arm: Human-scale passive haptic feedback for augmenting interaction and perception in virtual environments

    Merwan Achibet;Adrien Girard;Anthony Talvas;Maud Marchal

  • Altering the Stiffness, Friction, and Shape Perception of Tangible Objects in Virtual Reality Using Wearable Haptics

    Steeven Villa Salazar;Claudio Pacchierotti;Xavier de Tinguy;Anderson Maciel

  • Real-time needle detection and tracking using a visually servoed 3D ultrasound probe

    Pierre Chatelain;Alexandre Krupa;Maud Marchal

  • Automatic Shape Control of Deformable Wires Based on Model-Free Visual Servoing

    Romain Lagneau;Alexandre Krupa;Maud Marchal

  • FlyVIZ: a novel display device to provide humans with 360° vision by coupling catadioptric camera with hmd

    Jérôme Ardouin;Anatole Lécuyer;Maud Marchal;Clément Riant

  • Interactive Simulation of Flexible Needle Insertions Based on Constraint Models

    Christian Duriez;Christophe Guébert;Maud Marchal;Stephane Cotin

  • Kinematic Evaluation of Virtual Walking Trajectories

    G. Cirio;A. Olivier;M. Marchal;J. Pettre

  • Walking in a Cube: Novel Metaphors for Safely Navigating Large Virtual Environments in Restricted Real Workspaces

    G. Cirio;P. Vangorp;E. Chapoulie;M. Marchal

  • The Mind-Mirror: See your brain in action in your head using EEG and augmented reality

    Jonathan Mercier-Ganady;Fabien Lotte;Emilie Loup-Escande;Maud Marchal

  • HapTip: Displaying Haptic Shear Forces at the Fingertips for Multi-Finger Interaction in Virtual Environments

    Adrien Girard;Maud Marchal;Maud Marchal;Florian Gosselin;Anthony Chabrier

  • Interactive Simulation of Embolization Coils: Modeling and Experimental Validation

    Jérémie Dequidt;Maud Marchal;Christian Duriez;Erwan Kerien

  • “Haptics On-Demand”: A Survey on Encountered-Type Haptic Displays

    Victor Rodrigo Mercado;Maud Marchal;Anatole Lecuyer

  • Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound-guided liver radiotherapy margins

    Valeria De Luca;Valeria De Luca;Jyotirmoy Banerjee;Andre Hallack;Satoshi Kondo

  • The King-Kong Effects: Improving sensation of walking in VR with visual and tactile vibrations at each step

    L. Terziman;M. Marchal;F. Multon;B. Arnaldi

  • The Virtual Mitten: A novel interaction paradigm for visuo-haptic manipulation of objects using grip force

    Merwan Achibet;Maud Marchal;Ferran Argelaguet;Anatole Lecuyer

  • AR Feels “Softer” than VR: Haptic Perception of Stiffness in Augmented versus Virtual Reality

    Yoren Gaffary;Benoit Le Gouis;Maud Marchal;Ferran Argelaguet

  • Elastic images: Perceiving local elasticity of images through a novel pseudo-haptic deformation effect

    Ferran Argelaguet;David Antonio Gómez Jáuregui;Maud Marchal;Anatole Lécuyer

  • PUMAH: Pan-Tilt Ultrasound Mid-Air Haptics for Larger Interaction Workspace in Virtual Reality

    Thomas Howard;Maud Marchal;Anatole Lecuyer;Claudio Pacchierotti

  • Real-Time Simulation of Brittle Fracture Using Modal Analysis

    L. Glondu;M. Marchal;G. Dumont

  • Enhancing the Stiffness Perception of Tangible Objects in Mixed Reality Using Wearable Haptics

    Xavier de Tinguy;Claudio Pacchierotti;Maud Marchal;Anatole Lecuyer

Frequent Co-Authors

Anatole Lécuyer
Anatole Lécuyer French Institute for Research in Computer Science and Automation - INRIA
Claudio Pacchierotti
Claudio Pacchierotti Centre national de la recherche scientifique, CNRS
Ferran Argelaguet
Ferran Argelaguet Institut de Recherche en Informatique et Systèmes Aléatoires
Eric Marchand
Eric Marchand University of Rennes
Jocelyne Troccaz
Jocelyne Troccaz Grenoble Alpes University
Christian Duriez
Christian Duriez University of Lille
Julien Pettré
Julien Pettré French Institute for Research in Computer Science and Automation - INRIA
Stéphane Cotin
Stéphane Cotin French Institute for Research in Computer Science and Automation - INRIA
Miguel A. Otaduy
Miguel A. Otaduy King Juan Carlos University
Yohan Payan
Yohan Payan Grenoble Alpes University

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 online degrees in computer science opens up several flexible career pathways for students in the USA. Many learners are choosing accelerated cs degree programs. These offer the opportunity to gain industry-ready skills quickly, helping you transition into roles in software development, cybersecurity, data analysis, and more.

If you are interested in applying your technical expertise to environmental challenges, you might also consider what careers are possible in related fields. You can find insight into what can i do with an environmental science degree, from roles in research and policy to environmental consulting and sustainable technology.

For students comparing degrees and affordability, online environmental engineering degree science and engineering programs as well as mechanical engineering cost of education resources can help you understand tuition rates, program outcomes, and areas of specialization. Choosing the right pathway ensures that your investment in education matches your long-term career goals and interests.

Best Scientists Citing Maud Marchal

Trending Scientists

Recently Published Articles