World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
10162
World Ranking
4372
National Ranking
93

Giancarlo Ferrigno 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 Giancarlo Ferrigno 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: 365 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Giancarlo Ferrigno 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 Giancarlo Ferrigno 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Giancarlo Ferrigno is affiliated with the Polytechnic University of Milan in Italy and has contributed extensively to research at the intersection of engineering, medicine, and computer science. Their work spans multiple disciplines including biomedical engineering, surgery, and computer vision and pattern recognition.

The scientist's research predominantly focuses on topics such as soft robotics and applications, surgical simulation and training, augmented reality applications, teleoperation and haptic systems, robot manipulation and learning, muscle activation and electromyography studies, as well as stroke rehabilitation and recovery.

Recent publications authored or co-authored by Giancarlo Ferrigno include the following:

  • Toward Teaching by Demonstration for Robot-Assisted Minimally Invasive Surgery (2021) - IEEE Transactions on Automation Science and Engineering
  • Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results (2020) - Neural Networks
  • Deep Neural Network Approach in Robot Tool Dynamics Identification for Bilateral Teleoperation (2020) - IEEE Robotics and Automation Letters
  • An Incremental Learning Framework for Human-Like Redundancy Optimization of Anthropomorphic Manipulators (2020) - IEEE Transactions on Industrial Informatics
  • Deep Neural Network Approach in EMG-Based Force Estimation for Human-Robot Interaction (2021) - IEEE Transactions on Artificial Intelligence

Giancarlo Ferrigno frequently publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • IEEE Robotics & Automation Magazine
  • IEEE Transactions on Medical Robotics and Bionics
  • Neural Networks

Frequent collaborators in their research include Elena De Momi, Hang Su, Junling Fu, Elisa Iovene, and Wen Qi. These partnerships reflect a multidisciplinary approach in advancing research in robotics, control systems, and medical applications.

The breadth of their main fields of study encompasses engineering with 70 publications, followed by medicine with 40, and computer science with 34 publications. Their involvement in subfields highlights biomedical engineering with 38, surgery with 21, computer vision and pattern recognition with 20, control and systems engineering with 11, and human-computer interaction with 11 publications.

Best Publications

  • Elite: A Digital Dedicated Hardware System for Movement Analysis Via Real-Time TV Signal Processing

    Giancarlo Ferrigno;Antonio Pedotti

  • Chest wall and lung volume estimation by optical reflectance motion analysis

    S. J. Cala;C. M. Kenyon;G. Ferrigno;P. Carnevali

  • Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation

    Stefano Corazza;Lars Mündermann;Emiliano Gambaretto;Giancarlo Ferrigno

  • Haptics in Robot-Assisted Surgery: Challenges and Benefits

    Nima Enayati;Elena De Momi;Giancarlo Ferrigno

  • Improved Human–Robot Collaborative Control of Redundant Robot for Teleoperated Minimally Invasive Surgery

    Hang Su;Chenguang Yang;Giancarlo Ferrigno;Elena De Momi

  • Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results.

    Hang Su;Yingbai Hu;Hamid Reza Karimi;Alois C. Knoll

  • Toward Teaching by Demonstration for Robot-Assisted Minimally Invasive Surgery

    Hang Su;Andrea Mariani;Salih Ertug Ovur;Arianna Menciassi

  • Technique for the evaluation of derivatives from noisy biomechanical displacement data using a model-based bandwidth-selection procedure.

    M. D'Amico;Giancarlo Ferrigno

  • Three-dimensional optical analysis of chest wall motion

    G. Ferrigno;P. Carnevali;A. Aliverti;F. Molteni

  • Validation of FreeSurfer-Estimated Brain Cortical Thickness: Comparison with Histologic Measurements

    Francesco Cardinale;Giuseppa Chinnici;Manuela Bramerio;Roberto Mai

  • MUNDUS project: MUltimodal neuroprosthesis for daily upper limb support.

    Alessandra L. G. Pedrocchi;Simona Ferrante;Emilia Ambrosini;Marta Gandolla

  • Deep Neural Network Approach in Robot Tool Dynamics Identification for Bilateral Teleoperation

    Hang Su;Wen Qi;Chenguang Yang;Juan Sandoval

  • The Influence of Neuronal Density and Maturation on Network Activity of Hippocampal Cell Cultures: A Methodological Study

    Emilia Biffi;Giulia Regalia;Andrea Menegon;Giancarlo Ferrigno

  • An Incremental Learning Framework for Human-like Redundancy Optimization of Anthropomorphic Manipulators

    Hang Su;Wen Qi;Yingbai Hu;Hamid Reza Karimi

  • A Novel Adaptive, Real-Time Algorithm to Detect Gait Events From Wearable Sensors

    Noelia Chia Bejarano;Emilia Ambrosini;Alessandra Pedrocchi;Giancarlo Ferrigno

  • Comparison between the more recent techniques for smoothing and derivative assessment in biomechanics.

    M. D'Amico;G. Ferrigno

  • Finger kinematic modeling and real-time hand motion estimation.

    P. Cerveri;E. De Momi;N. Lopomo;G. Baud-Bovy

  • Review of Robotic Technology for Stereotactic Neurosurgery

    Carlos Faria;Wolfram Erlhagen;Manuel Rito;Elena De Momi

  • Pattern recognition in 3D automatic human motion analysis

    G. Ferrigno;N.A. Borghese;A. Pedotti

  • Autoscan: a flexible and portable 3D scanner

    N.A. Borghese;G. Ferrigno;G. Baroni;A. Pedotti

  • Kinematical models to reduce the effect of skin artifacts on marker-based human motion estimation.

    P. Cerveri;A. Pedotti;G. Ferrigno

Frequent Co-Authors

Elena De Momi
Elena De Momi Polytechnic University of Milan
Flavia Valtorta
Flavia Valtorta Vita-Salute San Raffaele University
Thierry Pozzo
Thierry Pozzo Italian Institute of Technology
Roberto Orecchia
Roberto Orecchia European Institute of Oncology
Francesco Cardinale
Francesco Cardinale University of Parma
Jörg Raisch
Jörg Raisch Technical University of Berlin
Alois Knoll
Alois Knoll Technical University of Munich
Chenguang Yang
Chenguang Yang University of Liverpool
Nick S. Ward
Nick S. Ward University College London
Stefano Ferrari
Stefano Ferrari Veneto Eye Bank Foundation

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