World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 41 8893 8642 537 530 178 6558

Francesco Nori publications per year

The chart shows the history of publications by Francesco Nori between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Francesco Nori published across 24 years, from 2002 to 2025, averaging 8.6 papers a year. Output peaked at 25 publications in 2017. 9 of the 207 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 25. Peak 25 publications in 2017. 2002: 1 publication 2003: 1 publication 2004: 2 publications 2005: 2 publications 2006: 1 publication 2007: 4 publications 2008: 9 publications 2009: 5 publications 2010: 11 publications 2011: 14 publications 2012: 12 publications 2013: 11 publications 2014: 22 publications 2015: 16 publications 2016: 23 publications 2017: 25 publications 2018: 15 publications 2019: 11 publications 2020: 4 publications 2021: 3 publications 2022: 2 publications 2023: 4 publications 2024: 5 publications 2025: 4 publications
2002 2025

207 publications in total across all disciplines

View publications per year as a table
Francesco Nori: publications per year, 2002 to 2025
Year Publications
2002 1
2003 1
2004 2
2005 2
2006 1
2007 4
2008 9
2009 5
2010 11
2011 14
2012 12
2013 11
2014 22
2015 16
2016 23
2017 25
2018 15
2019 11
2020 4
2021 3
2022 2
2023 4
2024 5
2025 4
Total 207
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 172–181 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556 178
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 40–41 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907 41
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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