World's Best Scientists 2026 revealed!
Riccardo Rovatti

Riccardo Rovatti

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
52
Citations
9932
World Ranking
2534
National Ranking
65

Riccardo Rovatti 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 Riccardo Rovatti 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: 339 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Riccardo Rovatti 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 Riccardo Rovatti 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: 52 D-Index — 64th percentile

64% 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

  • 2012 - IEEE Fellow For contributions to nonlinear and statistical signal processing applied to electronic systems

Overview

Riccardo Rovatti is affiliated with the University of Bologna in Italy. Their research spans Engineering and Computer Science, with a strong focus on Electrical and Electronic Engineering, Artificial Intelligence, Computational Mechanics, Biomedical Engineering, and Signal Processing.

Their work covers key topics such as Sparse and Compressive Sensing Techniques, Analog and Mixed-Signal Circuit Design, Anomaly Detection Techniques and Applications, Advanced Memory and Neural Computing, Blind Source Separation Techniques, Advanced MRI Techniques and Applications, and Ferroelectric and Negative Capacitance Devices.

Recent publications of Riccardo Rovatti include:

  • Algorithmic fairness through group parities? The case of COMPAS-SAPMOC, 2022, AI & Society
  • A fully CMOS true random number generator based on hidden attractor hyperchaotic system, 2020, Nonlinear Dynamics
  • Combined HW/SW Drift and Variability Mitigation for PCM-Based Analog In-Memory Computing for Neural Network Applications, 2023, IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • Deep Neural Oracles for Short-window Optimized Compressed Sensing of Biosignals, 2020, IEEE Transactions on Biomedical Circuits and Systems
  • Subspace Energy Monitoring for Anomaly Detection @Sensor or @Edge, 2020, IEEE Internet of Things Journal

Riccardo Rovatti frequently collaborates with several coauthors, including:

  • Gianluca Setti
  • Fabio Pareschi
  • Mauro Mangia
  • Alex Marchioni
  • Luciano Prono

Their research has been published in venues such as:

  • 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • IEEE Internet of Things Journal

In 2012, Riccardo Rovatti was recognized as an IEEE Fellow for contributions to nonlinear and statistical signal processing applied to electronic systems.

Best Publications

  • Chaotic complex spreading sequences for asynchronous DS-CDMA. I. System modeling and results

    G. Mazzini;G. Setti;R. Rovatti

  • Chaotic Electronics in Telecommunications

    Peter Kennedy;Giancarlo Setti;Riccardo Rovatti

  • Statistical modeling of discrete-time chaotic processes-basic finite-dimensional tools and applications

    G. Setti;G. Mazzini;R. Rovatti;S. Callegari

  • Embeddable ADC-based true random number generator for cryptographic applications exploiting nonlinear signal processing and chaos

    S. Callegari;R. Rovatti;G. Setti

  • Chaotic complex spreading sequences for asynchronous DS-CDMA. Part II. Some theoretical performance bounds

    R. Rovatti;G. Setti;G. Mazzini

  • Interference minimisation by auto-correlation shaping in asynchronous DS-CDMA systems: chaos-based spreading is nearly optimal

    G. Mazzini;R. Rovatti;G. Setti

  • IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—I: REGULAR PAPERS

    Sankar Basu;Guanrong Chen;Andreas G. Andreou

  • On the approximation capabilities of the homogeneous Takagi-Sugeno model

    C. Fantuzzi;R. Rovatti

  • On Statistical Tests for Randomness Included in the NIST SP800-22 Test Suite and Based on the Binomial Distribution

    F. Pareschi;R. Rovatti;G. Setti

  • Chaos-Based Spreading in DS-UWB Sensor Networks Increases Available Bit Rate

    G. Cimatti;R. Rovatti;G. Setti

  • Implementation and Testing of High-Speed CMOS True Random Number Generators Based on Chaotic Systems

    F Pareschi;G Setti;R Rovatti

  • Fuzzy piecewise multilinear and piecewise linear systems as universal approximators in Sobolev norms

    R. Rovatti

  • Chaos-based asynchronous DS-CDMA systems and enhanced Rake receivers: measuring the improvements

    G. Mazzini;R. Rovatti;G. Setti

  • Wireless multi-standard terminals: system analysis and design of a reconfigurable RF front-end

    F. Agnelli;G. Albasini;I. Bietti;A. Gnudi

  • Low-Complexity Multiclass Encryption by Compressed Sensing

    Valerio Cambareri;Mauro Mangia;Fabio Pareschi;Riccardo Rovatti

  • Enhanced rake receivers for chaos-based DS-CDMA

    R. Rovatti;G. Mazzini;G. Setti

  • Interference in DS-CDMA systems with exponentially vanishing autocorrelations: chaos-based spreading is optimal

    R. Rovatti;G. Mazzini

  • A tensor approach to higher order expectations of quantized chaotic trajectories. I. General theory and specialization to piecewise affine Markov systems

    R. Rovatti;G. Mazzini;G. Setti

  • EMI Reduction via Spread Spectrum in DC/DC Converters: State of the Art, Optimization, and Tradeoffs

    Fabio Pareschi;Riccardo Rovatti;Gianluca Setti

  • On the ultimate limits of chaos-based asynchronous DS-CDMA-I: basic definitions and results

    R. Rovatti;G. Mazzini;G. Setti

  • Fuzzy sets of rules for system identification

    R. Rovatti;R. Guerrieri

  • Statistical modeling and design of discrete-time chaotic processes: advanced finite-dimensional tools and applications

    R. Rovatti;G. Mazzini;G. Setti;A. Giovanardi

Frequent Co-Authors

Gianluca Setti
Gianluca Setti Polytechnic University of Turin
Cesare Fantuzzi
Cesare Fantuzzi University of Modena and Reggio Emilia
Luca Benini
Luca Benini ETH Zurich
Giorgio Baccarani
Giorgio Baccarani University of Bologna
Silvio Simani
Silvio Simani University of Ferrara
Roberto Guerrieri
Roberto Guerrieri University of Bologna
Wouter A. Serdijn
Wouter A. Serdijn Delft University of Technology
Andrea Lodi
Andrea Lodi Cornell University
Jonathan Z. Simon
Jonathan Z. Simon University of Maryland, College Park
Yushu Zhang
Yushu Zhang Nanjing University of Aeronautics and Astronautics

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