World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
36
Citations
5863
World Ranking
5326
National Ranking
220

Edoardo Mosca 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 Edoardo Mosca 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: 232 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Edoardo Mosca 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 Edoardo Mosca 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: 36 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2007 - Fellow of the International Federation of Automatic Control (IFAC)
  • 1997 - IEEE Fellow For contributions to adaptive and predictive control

Overview

Edoardo Mosca is affiliated with the University of Florence in Italy and specializes primarily in the field of Computer Science. Their research contributions span several subfields including Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, and Electrical and Electronic Engineering.

The main topics covered in their work include:

  • Topic Modeling
  • Adversarial Robustness in Machine Learning
  • Advanced Malware Detection Techniques
  • Advanced Neural Network Applications
  • Industrial Vision Systems and Defect Detection
  • CCD and CMOS Imaging Sensors
  • Hate Speech and Cyberbullying Detection

Among the recent papers authored or co-authored by Edoardo Mosca are the following:

  • "That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks (2022), published in the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Accurate Cost Estimation of Memory Systems Utilizing Machine Learning and Solutions from Computer Vision for Design Automation (2020), published in IEEE Transactions on Computers
  • A Benchmark Dataset to Distinguish Human-Written and Machine-Generated Scientific Papers (2023), published in Information
  • Mixed H2/H-infinity design of IIR multirate filter banks subject to subband noises (2024), published in Asian Control Conference
  • Reduced-order H infinity and H2 design of multirate filter banks using PDLF method (2024), published in Swinburne Research Bank (Swinburne University of Technology)

The scientist frequently collaborates with several other researchers, including:

  • Georg Groh
  • Kalle Åström
  • Robert R. Bitmead
  • Guy A. Dumont
  • Robert L. Kosut

Their publications often appear in venues such as:

  • International Journal of Adaptive Control and Signal Processing
  • arXiv (Cornell University)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • IEEE Transactions on Computers
  • Information

Edoardo Mosca has been recognized by professional organizations with distinctions including the Fellow of the International Federation of Automatic Control (IFAC) in 2007 and IEEE Fellow in 1997 for contributions to adaptive and predictive control.

Best Publications

  • Nonlinear control of constrained linear systems via predictive reference management

    A. Bemporad;A. Casavola;E. Mosca

  • Robust H2 and H∞ filtering for uncertain linear systems

    Zhisheng Duan;Jingxin Zhang;Cishen Zhang;Edoardo Mosca

  • Optimal, Predictive and Adaptive Control

    Edoardo Mosca

  • Stable redesign of predictive control

    Edoardo Mosca;Jingxin Zhang

  • Fulfilling hard constraints in uncertain linear systems by reference managing

    Alberto Bemporad;Edoardo Mosca

  • An ellipsoidal off-line MPC scheme for uncertain polytopic discrete-time systems

    David Angeli;Alessandro Casavola;Giuseppe Franzè;Edoardo Mosca

  • Robust command governors for constrained linear systems

    A. Casavola;E. Mosca;D. Angeli

  • Paper: Performance improvements of self-tuning controllers by multistep horizons: The MUSMAR approach

    C. Greco;G. Menga;E. Mosca;G. Zappa

  • Lyapunov-based switching supervisory control of nonlinear uncertain systems

    D. Angeli;E. Mosca

  • Unfalsified Virtual Reference Adaptive Switching Control of Plants with Persistent Disturbances

    Giorgio Battistelli;Edoardo Mosca;Michael G. Safonov;Pietro Tesi

  • Technical Communique: Min-max predictive control strategies for input-saturated polytopic uncertain systems

    Alessandro Casavola;Monica Giannelli;Edoardo Mosca

  • Multi-model unfalsified adaptive switching supervisory control

    Simone Baldi;Giorgio Battistelli;Edoardo Mosca;Pietro Tesi

  • Model-free Adaptive Switching Control of Uncertain Time-Varying Plants

    Giorgio Battistelli;João P. Hespanha;Edoardo Mosca;Pietro Tesi

  • Adaptive control of a solar energy plant : Exploiting accessible disturbances

    F. Coito;J. M. Lemos;R. N. Silva;E. Mosca

  • Robustness of multipredictor adaptive regulators: MUSMAR

    E. Mosca;G. Zappa;J. M. Lemos

  • Angle Estimation in Amplitude Comparison Monopulse Systems

    Unknown

  • Command governors for constrained nonlinear systems

    Unknown

  • Stabilizing I/O receding horizon control

    E. Mosca;J.M. Lemos;J. Zhang

  • Dual-Receding Horizon Control of Constrained Discrete Time Systems

    Luigi Chisci;A. Lombardi;Edoardo Mosca

  • Predictive teleoperation of constrained dynamic systems via Internet-like channels

    A. Casavola;E. Mosca;M. Papini

  • Stability of unfalsified adaptive control with non-SCLI controllers and related performance under different prior knowledge

    Claudia Manuelli;Seung Gyun Cheong;Edoardo Mosca;Michael G. Safonov

  • On the stabilizing property of SIORHC

    A. Bemporad;L. Chisci;E. Mosca

Frequent Co-Authors

Alessandro Casavola
Alessandro Casavola University of Calabria
David Angeli
David Angeli Imperial College London
Luigi Chisci
Luigi Chisci University of Florence
Giorgio Battistelli
Giorgio Battistelli University of Florence
Alberto Bemporad
Alberto Bemporad IMT Institute for Advanced Studies Lucca
Simone Baldi
Simone Baldi Southeast University
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley
Michael G. Safonov
Michael G. Safonov University of Southern California
Zhisheng Duan
Zhisheng Duan Peking University
Joao P. Hespanha
Joao P. Hespanha University of California, Santa Barbara

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