World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6558
World Ranking
8893
National Ranking
537

Francesco Nori 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 Francesco Nori 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.

Francesco Nori 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 Francesco Nori 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Francesco Nori is a researcher affiliated with DeepMind in the United Kingdom. Their work is primarily situated in the fields of engineering and computer science, with significant contributions across several subfields such as biomedical engineering, artificial intelligence, control and systems engineering, computer vision and pattern recognition, and pharmacology.

The scientist's research encompasses a diverse range of topics including reinforcement learning in robotics, robot manipulation and learning, muscle activation and electromyography studies, robotic locomotion and control, domain adaptation and few-shot learning, prosthetics and rehabilitation robotics, and musculoskeletal pain and rehabilitation.

Nori has published extensively in prominent venues, with frequent contributions to arXiv (Cornell University), where they have 13 publications. Additional publication venues include Science Robotics and IEEE Transactions on Human-Machine Systems.

Some of the notable recent papers authored or coauthored by Nori include:

  • Learning agile soccer skills for a bipedal robot with deep reinforcement learning (2024, Science Robotics)
  • Analysis of Human Whole-Body Joint Torques During Overhead Work With a Passive Exoskeleton (2021, IEEE Transactions on Human-Machine Systems)
  • Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes (2021, arXiv (Cornell University))
  • Learning Dexterous Manipulation from Suboptimal Experts (2020, arXiv (Cornell University))
  • Barkour: Benchmarking Animal-level Agility with Quadruped Robots (2023, arXiv (Cornell University))

Frequent collaborators in Nori's research efforts include Nicolas Heess, Arunkumar Byravan, Stefano Saliceti, José Enrique Chen, and Jan Humplik. These collaborations reflect a consistent teamwork pattern within related domains of robotics and machine learning.

Best Publications

  • The iCub humanoid robot: an open platform for research in embodied cognition

    Giorgio Metta;Giulio Sandini;David Vernon;Lorenzo Natale

  • The iCub humanoid robot: An open-systems platform for research in cognitive development

    Giorgio Metta;Lorenzo Natale;Francesco Nori;Giulio Sandini

  • Robots with a sense of touch.

    Chiara Bartolozzi;Lorenzo Natale;Francesco Nori;Giorgio Metta

  • Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics

    A Cangelosi;G Metta;G Sagerer;S Nolfi

  • Evidence for composite cost functions in arm movement planning: an inverse optimal control approach.

    Bastien Berret;Enrico Chiovetto;Francesco Nori;Thierry Pozzo;Thierry Pozzo;Thierry Pozzo

  • An experimental evaluation of a novel minimum-jerk cartesian controller for humanoid robots

    Ugo Pattacini;Francesco Nori;Lorenzo Natale;Giorgio Metta

  • An open-source simulator for cognitive robotics research: the prototype of the iCub humanoid robot simulator

    V. Tikhanoff;A. Cangelosi;P. Fitzpatrick;G. Metta

  • Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives

    Cristiano Alessandro;Ioannis Delis;Ioannis Delis;Ioannis Delis;Francesco Nori;Stefano Panzeri;Stefano Panzeri

  • Learning agile soccer skills for a bipedal robot with deep reinforcement learning

    Unknown

  • The design of the iCub humanoid robot

    Alberto Parmiggiani;Marco Maggiali;Lorenzo Natale;Francesco Nori

  • Motor contagion during human-human and human-robot interaction

    Ambra Bisio;Alessandra Sciutti;Francesco Nori;Giorgio Metta

  • Force feedback exploiting tactile and proximal force/torque sensing Theory and implementation on the humanoid robot iCub

    Matteo Fumagalli;Matteo Fumagalli;Serena Ivaldi;Marco Randazzo;Lorenzo Natale

  • Walking on partial footholds including line contacts with the humanoid robot atlas

    Georg Wiedebach;Sylvain Bertrand;Tingfan Wu;Luca Fiorio

  • iCub Whole-Body Control through Force Regulation on Rigid Non-Coplanar Contacts

    Francesco Nori;Silvio Traversaro;Jorhabib Eljaik;Francesco Romano

  • Measuring Human-Robot Interaction Through Motor Resonance

    Alessandra Sciutti;Ambra Bisio;Francesco Nori;Giorgio Metta

  • James: A Humanoid Robot Acting over an Unstructured World

    Lorenzo Jamone;Giorgio Metta;Francesco Nori;Giulio Sandini

  • Identification of fully physical consistent inertial parameters using optimization on manifolds

    Silvio Traversaro;Stanislas Brossette;Adrien Escande;Francesco Nori

  • Tools for simulating humanoid robot dynamics: A survey based on user feedback

    Serena Ivaldi;Jan Peters;Vincent Padois;Francesco Nori

  • Stability analysis and design of momentum-based controllers for humanoid robots

    Gabriele Nava;Francesco Romano;Francesco Nori;Daniele Pucci

  • Collocated Adaptive Control of Underactuated Mechanical Systems

    Daniele Pucci;Francesco Romano;Francesco Nori

  • Design, realization and sensorization of the dexterous iCub hand

    Alexander Schmitz;Ugo Pattacini;Francesco Nori;Lorenzo Natale

  • A modular bio-inspired architecture for movement generation for the infant-like robot iCub

    S. Degallier;L. Righetti;L. Natale;F. Nori

Frequent Co-Authors

Giorgio Metta
Giorgio Metta Italian Institute of Technology
Giulio Sandini
Giulio Sandini Italian Institute of Technology
Lorenzo Natale
Lorenzo Natale Italian Institute of Technology
Thierry Pozzo
Thierry Pozzo Italian Institute of Technology
Luciano Fadiga
Luciano Fadiga Italian Institute of Technology
Angelo Cangelosi
Angelo Cangelosi University of Manchester
Nikos G. Tsagarakis
Nikos G. Tsagarakis Italian Institute of Technology
Nicolas Mansard
Nicolas Mansard Laboratory for Analysis and Architecture of Systems
Jost Tobias Springenberg
Jost Tobias Springenberg University of Freiburg
Martin Riedmiller
Martin Riedmiller DeepMind (United Kingdom)

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 opens doors to many flexible academic and career options in the US. For students concerned about previous academic performance, there are online colleges that accept 2.0 gpa, making computer science studies accessible to more learners.

If you’re looking to fast-track your education, consider a fastest computer science degree. These accelerated programs can help you enter the workforce sooner or quickly switch careers.

Computer science graduates have versatile skill sets, which allow them to work across multiple industries. Interested in interdisciplinary opportunities? Discover online environmental engineering degree science and engineering programs, which merge technology and sustainability.

For those passionate about the environment, learn more about what can you do with an environmental science major—from research roles to innovative tech-driven careers. With online learning options, there's a pathway for every background and ambition.

Best Scientists Citing Francesco Nori

Trending Scientists

Recently Published Articles