World's Best Scientists 2026 revealed!
Gianluigi Pillonetto

Gianluigi Pillonetto

D-Index & Metrics

Computer Science

D-Index
39
Citations
6599
World Ranking
9751
National Ranking
288

Gianluigi Pillonetto 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 Gianluigi Pillonetto 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: 218 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Gianluigi Pillonetto 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 Gianluigi Pillonetto 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to kernel-based linear system identification

Overview

Gianluigi Pillonetto is a researcher affiliated with the University of Padua in Italy. Their academic work primarily spans the field of Engineering, with a strong focus on Control and Systems Engineering. Other subfields of study include Artificial Intelligence, Civil and Structural Engineering, Applied Mathematics, and Statistical and Nonlinear Physics.

Their main research topics include Control Systems and Identification, Fault Detection and Control Systems, Structural Health Monitoring Techniques, Gaussian Processes and Bayesian Inference, Statistical and numerical algorithms, Advanced Control Systems Optimization, and Model Reduction and Neural Networks.

The researcher has contributed to multiple scientific publications across several well-known venues. Frequent publication venues include Automatica, arXiv (Cornell University), IFAC-PapersOnLine, Padua Research Archive (University of Padua), and IEEE Control Systems.

Recent papers by Gianluigi Pillonetto include:

  • Efficient spatio-temporal Gaussian regression via Kalman filtering, 2020, Automatica
  • On the mathematical foundations of stable RKHSs, 2020, Padua Research Archive (University of Padua)
  • Stable and robust LQR design via scenario approach, 2021, Padua Research Archive (University of Padua)
  • Kernel Methods and Gaussian Processes for System Identification and Control: A Road Map on Regularized Kernel-Based Learning for Control, 2023, IEEE Control Systems
  • Kernel Absolute Summability Is Sufficient but Not Necessary for RKHS Stability, 2020, SIAM Journal on Control and Optimization

Gianluigi Pillonetto frequently collaborates with several co-authors. Among the most common are Mauro Bisiacco, Anna Scampicchio, Alessandro Chiuso, Tianshi Chen, and Giuseppe De Nicolao.

In recognition of contributions to kernel-based linear system identification, Gianluigi Pillonetto was named IEEE Fellow in 2021.

Best Publications

  • Survey Kernel methods in system identification, machine learning and function estimation: A survey

    Gianluigi Pillonetto;Francesco Dinuzzo;Tianshi Chen;Giuseppe De Nicolao

  • A new kernel-based approach for linear system identification

    Gianluigi Pillonetto;Giuseppe De Nicolao

  • Prediction error identification of linear systems: A nonparametric Gaussian regression approach

    Gianluigi Pillonetto;Alessandro Chiuso;Giuseppe De Nicolao

  • Newton-Raphson Consensus for Distributed Convex Optimization

    Damiano Varagnolo;Filippo Zanella;Angelo Cenedese;Gianluigi Pillonetto

  • Sensing, Compression, and Recovery for WSNs: Sparse Signal Modeling and Monitoring Framework

    G. Quer;R. Masiero;G. Pillonetto;M. Rossi

  • A Bayesian approach to sparse dynamic network identification

    Alessandro Chiuso;Gianluigi Pillonetto

  • System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques

    Tianshi Chen;Martin S. Andersen;Lennart Ljung;Alessandro Chiuso

  • Generalized Kalman smoothing: Modeling and algorithms

    Aleksandr Y. Aravkin;James V. Burke;Lennart Ljung;Aurelie C. Lozano

  • A New Kernel-Based Approach for NonlinearSystem Identification

    G. Pillonetto;Minh Ha Quang;A. Chiuso

  • System Identification: A Machine Learning Perspective

    A. Chiuso;G. Pillonetto

  • Tuning complexity in regularized kernel-based regression and linear system identification

    Gianluigi Pillonetto;Alessandro Chiuso

  • Newton-Raphson consensus for distributed convex optimization

    Filippo Zanella;Damiano Varagnolo;Angelo Cenedese;Gianluigi Pillonetto

  • An $ll _{1}$ -Laplace Robust Kalman Smoother

    A. Y. Aravkin;B. M. Bell;J. V. Burke;G. Pillonetto

  • Motion planning using adaptive random walks

    S. Carpin;G. Pillonetto

  • Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation.

    Gianluigi Pillonetto;Giovanni Sparacino;Claudio Cobelli

  • Learning Output Kernels with Block Coordinate Descent

    Francesco Dinuzzo;Cheng S. Ong;Gianluigi Pillonetto;Peter V. Gehler

  • Bayesian Online Multitask Learning of Gaussian Processes

    G. Pillonetto;F. Dinuzzo;G. De Nicolao

  • Regularized estimation of sums of exponentials in spaces generated by stable spline kernels

    Gianluigi Pillonetto;Alessandro Chiuso;Giuseppe De Nicolao

  • An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization

    Bradley M. Bell;James V. Burke;Gianluigi Pillonetto

  • Sparse/robust estimation and Kalman smoothing with nonsmooth log-concave densities: modeling, computation, and theory

    Aleksandr Y. Aravkin;James V. Burke;Gianluigi Pillonetto

Frequent Co-Authors

Alessandro Chiuso
Alessandro Chiuso University of Padua
James V. Burke
James V. Burke University of Washington
Luca Schenato
Luca Schenato University of Padua
Claudio Cobelli
Claudio Cobelli University of Padua
Lennart Ljung
Lennart Ljung Linköping University
Giuseppe De Nicolao
Giuseppe De Nicolao University of Pavia
Giovanni Sparacino
Giovanni Sparacino University of Padua
Ruggero Carli
Ruggero Carli University of Padua
Håkan Hjalmarsson
Håkan Hjalmarsson Royal Institute of Technology
Giorgio Palù
Giorgio Palù University of Padua

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