World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
9492
World Ranking
3353
National Ranking
95

Computer Science

D-Index
46
Citations
9525
World Ranking
6797
National Ranking
168

Lorenzo Natale publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Lorenzo Natale sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 216 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Lorenzo Natale D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Lorenzo Natale sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 46 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Lorenzo Natale is affiliated with the Italian Institute of Technology in Italy. The research spans multiple domains within computer science and engineering, with a focus on robotics and artificial intelligence. Their work has contributed to fields such as computer vision and pattern recognition, artificial intelligence, control and systems engineering, biomedical engineering, and human-computer interaction.

The scientist's research topics reflect an emphasis on robot manipulation and learning, domain adaptation and few-shot learning, advanced neural network applications, social robot interaction and human-robot interaction (HRI), multimodal machine learning applications, robotics and sensor-based localization, and studies involving muscle activation and electromyography.

Key recent papers include:

  • GRASPA 1.0: GRASPA is a Robot Arm graSping Performance BenchmArk, 2020, IEEE Robotics and Automation Letters
  • In-domain versus out-of-domain transfer learning in plankton image classification, 2023, Scientific Reports
  • Hand-Object Interaction: From Human Demonstrations to Robot Manipulation, 2021, Frontiers in Robotics and AI
  • Tour guide robot: a 5G-enabled robot museum guide, 2024, Frontiers in Robotics and AI
  • Toward an Attentive Robotic Architecture: Learning-Based Mutual Gaze Estimation in Human-Robot Interaction, 2022, Frontiers in Robotics and AI

Frequent co-authors collaborating with Lorenzo Natale include:

  • Elisa Maiettini
  • Lorenzo Rosasco
  • Giulia Pasquale
  • Michele Colledanchise
  • Maria Lombardi

Publication venues where their work is commonly published feature prominently in robotics and AI communities:

  • arXiv (Cornell University)
  • Frontiers in Robotics and AI
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Robotics and Automation Letters
  • 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)

The volume of publications in various fields and venues illustrates an active engagement with interdisciplinary research combining computational methods with robotics applications. The integration of machine learning techniques with robotic systems is a consistent theme across the scientist's documented output.

Best Publications

  • YARP: Yet Another Robot Platform:

    Giorgio Metta;Paul Fitzpatrick;Lorenzo Natale;Lorenzo Natale

  • 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

  • Methods and Technologies for the Implementation of Large-Scale Robot Tactile Sensors

    A Schmitz;P Maiolino;M Maggiali;L Natale

  • Learning about objects through action - initial steps towards artificial cognition

    P. Fitzpatrick;G. Metta;L. Natale;S. Rao

  • Robots with a sense of touch.

    Chiara Bartolozzi;Lorenzo Natale;Francesco Nori;Giorgio Metta

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

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

  • Towards long-lived robot genes

    Paul Fitzpatrick;Giorgio Metta;Lorenzo Natale

  • A Flexible and Robust Large Scale Capacitive Tactile System for Robots

    Perla Maiolino;Marco Maggiali;Giorgio Cannata;Giorgio Metta

  • 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

  • Highly Sensitive Soft Tactile Sensors for an Anthropomorphic Robotic Hand

    Lorenzo Jamone;Lorenzo Natale;Giorgio Metta;Giulio Sandini

  • Carbon Nanofiber versus Graphene-Based Stretchable Capacitive Touch Sensors for Artificial Electronic Skin.

    Pietro Cataldi;Simeone Dussoni;Luca Ceseracciu;Marco Maggiali

  • A tactile sensor for the fingertips of the humanoid robot iCub

    Alexander Schmitz;Marco Maggiali;Lorenzo Natale;Bruno Bonino

  • The design of the iCub humanoid robot

    Alberto Parmiggiani;Marco Maggiali;Lorenzo Natale;Francesco Nori

  • A New Silicone Structure for uSkin - A Soft, Distributed, Digital 3-Axis Skin Sensor and Its Integration on the Humanoid Robot iCub

    Tito Pradhono Tomo;Massimo Regoli;Alexander Schmitz;Lorenzo Natale

  • 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

  • Understanding mirror neurons.

    Giorgio Metta;Giulio Sandini;Lorenzo Natale;Laila Craighero

  • Exploring affordances and tool use on the iCub

    V. Tikhanoff;U. Pattacini;L. Natale;G. Metta

  • On the Implementation of Behavior Trees in Robotics

    Michele Colledanchise;Lorenzo Natale

  • Active contour following to explore object shape with robot touch

    U. Martinez-Hernandez;T. J. Dodd;L. Natale;G. Metta

Frequent Co-Authors

Giorgio Metta
Giorgio Metta Italian Institute of Technology
Giulio Sandini
Giulio Sandini Italian Institute of Technology
Francesco Nori
Francesco Nori DeepMind (United Kingdom)
Atsuo Takanishi
Atsuo Takanishi Waseda University
Sean Ryan Fanello
Sean Ryan Fanello Google (United States)
Felix Warneken
Felix Warneken University of Michigan–Ann Arbor
Giorgio Battistelli
Giorgio Battistelli University of Florence
Nikos G. Tsagarakis
Nikos G. Tsagarakis Italian Institute of Technology

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By integrating these complementary disciplines, students of Electronics and Electrical Engineering can significantly broaden their career prospects and develop versatile skill sets that align with evolving industry demands.

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