World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6958
World Ranking
9296
National Ranking
265

Manuel G. Catalano 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 Manuel G. Catalano 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: 151 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Manuel G. Catalano 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 Manuel G. Catalano 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Manuel G. Catalano is affiliated with the Italian Institute of Technology in Italy. Their research primarily spans the field of Engineering with a strong focus on several subfields including Biomedical Engineering, Control and Systems Engineering, Cognitive Neuroscience, Mechanical Engineering, and Rehabilitation.

The scientist's recent published works cover various topics in robotics and haptics, with papers appearing in reputable venues such as IEEE Transactions on Haptics, IEEE Robotics and Automation Letters, and IEEE Transactions on Robotics. Some of the recent papers include:

  • Integrating Wearable Haptics and Obstacle Avoidance for the Visually Impaired in Indoor Navigation: A User-Centered Approach (2020, IEEE Transactions on Haptics)
  • Design and Validation of the Readable Device: A Single-Cell Electromagnetic Refreshable Braille Display (2020, IEEE Transactions on Haptics)
  • Grasp It Like a Pro: Grasp of Unknown Objects With Robotic Hands Based on Skilled Human Expertise (2020, IEEE Robotics and Automation Letters)
  • Adaptive Feet for Quadrupedal Walkers (2021, IEEE Transactions on Robotics)
  • Overcoming the Torque/Stiffness Range Tradeoff in Antagonistic Variable Stiffness Actuators (2021, IEEE/ASME Transactions on Mechatronics)

Frequent co-authors collaborating with Manuel G. Catalano include Antonio Bicchi, Giorgio Grioli, Matteo Bianchi, Manolo Garabini, and Cristina Piazza.

The scientist regularly publishes in the following venues:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Frontiers in Robotics and AI
  • IEEE Robotics & Automation Magazine
  • Zenodo (CERN European Organization for Nuclear Research)

Main topics covered in the research work focus on:

  • Muscle activation and electromyography studies
  • Prosthetics and Rehabilitation Robotics
  • Robot Manipulation and Learning
  • Soft Robotics and Applications
  • Tactile and Sensory Interactions
  • Stroke Rehabilitation and Recovery
  • Robotic Locomotion and Control

Best Publications

  • Variable impedance actuators: A review

    B. Vanderborght;A. Albu-Schaeffer;A. Bicchi;A. Bicchi;E. Burdet

  • Adaptive synergies for the design and control of the Pisa/IIT SoftHand

    M.G. Catalano;G. Grioli;E. Farnioli;A. Serio

  • Variable Stiffness Actuators: Review on Design and Components

    Sebastian Wolf;Giorgio Grioli;Oliver Eiberger;Werner Friedl

  • A Century of Robotic Hands

    C. Piazza;G. Grioli;M.G. Catalano;A. Bicchi;A. Bicchi

  • WALK-MAN: A High-Performance Humanoid Platform for Realistic Environments

    N. G. Tsagarakis;D. G. Caldwell;F. Negrello;W. Choi

  • Variable stiffness actuators: The user's point of view

    Giorgio Grioli;Sebastian Wolf;Manolo Garabini;Manuel Catalano

  • Toward Dexterous Manipulation With Augmented Adaptive Synergies: The Pisa/IIT SoftHand 2

    Cosimo Della Santina;Cristina Piazza;Giorgio Grioli;Manuel G. Catalano

  • VSA-CubeBot: A modular variable stiffness platform for multiple degrees of freedom robots

    Manuel G. Catalano;Giorgio Grioli;Manolo Garabini;Fabio Bonomo

  • Controlling Soft Robots: Balancing Feedback and Feedforward Elements

    Cosimo Della Santina;Matteo Bianchi;Giorgio Grioli;Franco Angelini

  • Exploring Teleimpedance and Tactile Feedback for Intuitive Control of the Pisa/IIT SoftHand

    Arash Ajoudani;Sasha B. Godfrey;Matteo Bianchi;Manuel G. Catalano

  • Adaptive synergies for a humanoid robot hand

    M. G. Catalano;G. Grioli;A. Serio;E. Farnioli

  • Design and realization of the CUFF - clenching upper-limb force feedback wearable device for distributed mechano-tactile stimulation of normal and tangential skin forces

    Simona Casini;Matteo Morvidoni;Matteo Bianchi;Manuel Catalano

  • Adaptive synergies: An approach to the design of under-actuated robotic hands

    Giorgio Grioli;Manuel Catalano;Emanuele Silvestro;Simone Tono

  • The Quest for Natural Machine Motion: An Open Platform to Fast-Prototyping Articulated Soft Robots

    Cosimo Della Santina;Cristina Piazza;Gian Maria Gasparri;Manuel Bonilla

  • The Rice Haptic Rocker: Skin stretch haptic feedback with the Pisa/IIT SoftHand

    Edoardo Battaglia;Janelle P. Clark;Matteo Bianchi;Manuel G. Catalano

  • The SoftHand Pro: Functional evaluation of a novel, flexible, and robust myoelectric prosthesis.

    Sasha Blue Godfrey;Kristin D. Zhao;Amanda Theuer;Manuel G. Catalano;Manuel G. Catalano

  • A modular compliant actuator for emerging high performance and fall-resilient humanoids

    F. Negrello;M. Garabini;M. G. Catalano;J. Malzahn

  • Integrating Wearable Haptics and Obstacle Avoidance for the Visually Impaired in Indoor Navigation: A User-Centered Approach

    Federica Barontini;Manuel G. Catalano;Lucia Pallottino;Barbara Leporini

  • Velvet fingers: A dexterous gripper with active surfaces

    Vinicio Tincani;Manuel G. Catalano;Edoardo Farnioli;Manolo Garabini

  • Grasping with Soft Hands

    M. Bonilla;E. Farnioli;C. Piazza;M. Catalano

  • Learning From Humans How to Grasp: A Data-Driven Architecture for Autonomous Grasping With Anthropomorphic Soft Hands

    Cosimo Della Santina;Visar Arapi;Giuseppe Averta;Francesca Damiani

  • WALK-MAN humanoid lower body design optimization for enhanced physical performance

    F. Negrello;M. Garabini;M.G. Catalano;P. Kryczka

  • Postural Hand Synergies during Environmental Constraint Exploitation

    Cosimo Della Santina;Matteo Bianchi;Giuseppe Bruno Averta;Giuseppe Bruno Averta;Simone Ciotti;Simone Ciotti

Frequent Co-Authors

Antonio Bicchi
Antonio Bicchi Italian Institute of Technology
Arash Ajoudani
Arash Ajoudani Italian Institute of Technology
Darwin G. Caldwell
Darwin G. Caldwell Italian Institute of Technology
Nikos G. Tsagarakis
Nikos G. Tsagarakis Italian Institute of Technology
Bram Vanderborght
Bram Vanderborght Vrije Universiteit Brussel
Dirk Lefeber
Dirk Lefeber Radboud University
Domenico Prattichizzo
Domenico Prattichizzo University of Siena
Etienne Burdet
Etienne Burdet Imperial College London
Levi J. Hargrove
Levi J. Hargrove Northwestern University
Sami Haddadin
Sami Haddadin Mohamed bin Zayed University of Artificial Intelligence

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 can open new doors for students interested in Computer Science. Today, programs offer flexible and accessible routes to earning qualifications, no matter your location or schedule.

For those seeking a rapid entry or advancement in the field, pursuing the fastest online master's degree can be a strategic option. These accelerated programs are designed to get you career-ready in less time than traditional formats.

If you're wondering which master's degree is most in demand in USA, Computer Science consistently tops the list. Employers highly value tech skills, making advanced degrees in the discipline a wise investment.

Not ready for a master's? You can opt for an associate's degree online in Computer Science. This offers a cost-effective, flexible pathway into entry-level roles or further study.

Cost is always a consideration. Students on a budget should consider the cheapest online college options available. These affordable programs make pursuing a quality computer science education more accessible to a wider audience.

Best Scientists Citing Manuel G. Catalano

Trending Scientists

Recently Published Articles