World's Best Scientists 2026 revealed!
Luca Schenato

Luca Schenato

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
54
Citations
16132
World Ranking
2239
National Ranking
51

Luca Schenato 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 Luca Schenato 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: 315 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Luca Schenato 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 Luca Schenato 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: 54 D-Index — 68th percentile

68% 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

  • 2017 - IEEE Fellow For contributions to networked and multi-agent control systems

Overview

Luca Schenato is affiliated with the University of Padua in Italy and has contributed extensively to research in computer science and engineering. Their work spans several subfields including computer networks and communications, electrical and electronic engineering, control and systems engineering, artificial intelligence, and statistical and nonlinear physics.

The research topics covered by Schenato include:

  • Distributed control multi-agent systems
  • Stability and control of uncertain systems
  • Stochastic gradient optimization techniques
  • Distributed sensor networks and detection algorithms
  • Age of information optimization
  • Energy efficient wireless sensor networks
  • Power system optimization and stability

Recent publications by Schenato feature a range of contributions focused on optimization, estimation, and energy-aware scheduling in networked systems. Selected papers include:

  • "Asynchronous Distributed Optimization Over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence," published in 2020 in IEEE Transactions on Automatic Control
  • "Efficient spatio-temporal Gaussian regression via Kalman filtering," 2020, Automatica
  • "Transmission power allocation for remote estimation with multi-packet reception capabilities," 2022, Automatica
  • "EASE: Energy-Aware Job Scheduling for Vehicular Edge Networks With Renewable Energy Resources," 2022, IEEE Transactions on Green Communications and Networking
  • "Smart Grid State Estimation with PMUs Time Synchronization Errors," 2020, Energies

Schenato has frequently published in venues such as arXiv (Cornell University), Automatica, IFAC-PapersOnLine, IEEE Control Systems Letters, and IEEE Transactions on Automatic Control. The highest volume of publications appears in arXiv with 22 papers, followed by Automatica with 6 publications.

Collaboration is a notable aspect of Schenato's research profile, including frequent partnerships with Matthias Pezzutto, Ruggero Carli, Subhrakanti Dey, Luca Ballotta, and Michele Rossi, reflecting active engagement in multi-author research projects.

In recognition of their contributions to the field of networked and multi-agent control systems, Schenato was named IEEE Fellow in 2017.

Best Publications

  • Kalman filtering with intermittent observations

    B. Sinopoli;L. Schenato;M. Franceschetti;K. Poolla

  • Foundations of Control and Estimation Over Lossy Networks

    L. Schenato;B. Sinopoli;M. Franceschetti;K. Poolla

  • Distributed Kalman filtering based on consensus strategies

    R. Carli;A. Chiuso;L. Schenato;S. Zampieri

  • Optimal Estimation in Networked Control Systems Subject to Random Delay and Packet Drop

    L. Schenato

  • Distributed control applications within sensor networks

    B. Sinopoli;C. Sharp;L. Schenato;S. Schaffert

  • Average TimeSynch

    Luca Schenato;Federico Fiorentin

  • To Zero or to Hold Control Inputs With Lossy Links

    L. Schenato

  • A Survey on Distributed Estimation and Control Applications Using Linear Consensus Algorithms

    Federica Garin;Luca Schenato

  • Flapping flight for biomimetic robotic insects: part I-system modeling

    Xinyan Deng;L. Schenato;Wei Chung Wu;S.S. Sastry

  • Flapping flight for biomimetic robotic insects: part II-flight control design

    Xinyan Deng;L. Schenato;S.S. Sastry

  • A distributed consensus protocol for clock synchronization in wireless sensor network

    L. Schenato;G. Gamba

  • A Review of Distributed Fibre Optic Sensors for Geo-Hydrological Applications

    Luca Schenato

  • Optimal linear LQG control over lossy networks without packet acknowledgment

    Bruno Sinopoli;Luca Schenato;Massimo Franceschetti;Kameshwar Poolla

  • Newton-Raphson Consensus for Distributed Convex Optimization

    Damiano Varagnolo;Filippo Zanella;Angelo Cenedese;Gianluigi Pillonetto

  • Identification of power distribution network topology via voltage correlation analysis

    Saverio Bolognani;Nicoletta Bof;Davide Michelotti;Riccardo Muraro

  • Distributed Optical Fiber Sensing Based on Rayleigh Scattering

    Luca Palmieri;Luca Schenato

  • Tracking and Coordination of Multiple Agents Using Sensor Networks: System Design, Algorithms and Experiments

    Songhwai Oh;L. Schenato;P. Chen;S. Sastry

  • Subsurface Multi‐Physical Monitoring of a Reservoir Landslide With the Fiber‐Optic Nerve System

    Unknown

  • Distributed optical fibre sensing for early detection of shallow landslides triggering.

    Luca Schenato;Luca Palmieri;Matteo Camporese;Silvia Bersan

  • A Hierarchical Multiple-Target Tracking Algorithm for Sensor Networks

    Songhwai Oh;S. Sastry;L. Schenato

  • Tracking and Coordination of Multiple Agents Using Sensor Networks: System Design, Algorithms and Experiments Sensor networks that can rapidly locate, pursue and capture numerous moving targets can be used for surveillance of large areas.

    Songhwai Oh;Luca Schenato;Phoebus Chen;Shankar Sastry

Frequent Co-Authors

Luca Palmieri
Luca Palmieri University of Padua
Andrea Galtarossa
Andrea Galtarossa University of Padua
Ruggero Carli
Ruggero Carli University of Padua
Alessandro Pasuto
Alessandro Pasuto National Research Council (CNR)
Shankar Sastry
Shankar Sastry University of California, Berkeley
Gianluigi Pillonetto
Gianluigi Pillonetto University of Padua
Alessandro Chiuso
Alessandro Chiuso University of Padua
Kameshwar Poolla
Kameshwar Poolla University of California, Berkeley
Sandro Zampieri
Sandro Zampieri University of Padua
Bruno Sinopoli
Bruno Sinopoli Washington University in St. Louis

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