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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
73
Citations
28868
World Ranking
1554
National Ranking
19

Massimiliano Pontil 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 Massimiliano Pontil 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: 238 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Massimiliano Pontil 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 Massimiliano Pontil 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: 73 D-Index — 89th percentile

89% 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

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Massimiliano Pontil is affiliated with the Italian Institute of Technology in Italy, where they have contributed extensively to research in computer science, particularly focusing on artificial intelligence and related subfields.

Their published works span a variety of topics including domain adaptation and few-shot learning, sparse and compressive sensing techniques, stochastic gradient optimization techniques, advanced bandit algorithms research, model reduction and neural networks, machine learning and data classification, as well as Gaussian processes and Bayesian inference.

Frequent co-authors collaborating with Pontil include Carlo Ciliberto, Karim Lounici, Pietro Novelli, Vladimir Kostić, and Riccardo Grazzi.

The scholar has published predominantly in the venue arXiv (Cornell University), with a tally of 59 publications. Other publication venues include:

  • Proceedings of the International AAAI Conference on Web and Social Media
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Pattern Recognition Letters
  • Scientific Reports

Recent papers authored or co-authored by Pontil are listed below:

  • "An Empirical Study of Geographic User Activity Patterns in Foursquare", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Machine Learning for Cultural Heritage: A Survey", 2020, Pattern Recognition Letters
  • "Exploiting Semantic Annotations for Clustering Geographic Areas and Users in Location-based Social Networks", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Identifying the signature of prospective motor control in children with autism", 2021, Scientific Reports
  • "General Fair Empirical Risk Minimization", 2020, CINECA IRIS Institutional Research Information System (University of Genoa)

Massimiliano Pontil's research covers the following main fields and subfields:

  • Computer Science
  • Artificial Intelligence
  • Computational Mechanics
  • Management Science and Operations Research
  • Statistical and Nonlinear Physics
  • Computer Vision and Pattern Recognition

Their expertise extends across a spectrum of specialized topics including:

  • Domain Adaptation and Few-Shot Learning
  • Sparse and Compressive Sensing Techniques
  • Stochastic Gradient Optimization Techniques
  • Advanced Bandit Algorithms Research
  • Model Reduction and Neural Networks
  • Machine Learning and Data Classification
  • Gaussian Processes and Bayesian Inference

Best Publications

  • Convex multi-task feature learning

    Andreas Argyriou;Theodoros Evgeniou;Massimiliano Pontil

  • Regularized multi--task learning

    Theodoros Evgeniou;Massimiliano Pontil

  • Multi-Task Feature Learning

    Andreas Argyriou;Theodoros Evgeniou;Massimiliano Pontil

  • Regularization Networks and Support Vector Machines

    Theodoros Evgeniou;Massimiliano Pontil;Tomaso A. Poggio

  • Feature Selection for SVMs

    Jason Weston;Sayan Mukherjee;Olivier Chapelle;Massimiliano Pontil

  • Support vector machines for 3D object recognition

    M. Pontil;A. Verri

  • Learning Multiple Tasks with Kernel Methods

    Theodoros Evgeniou;Charles A. Micchelli;Massimiliano Pontil

  • PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments.

    David T. Jones;Daniel W. A. Buchan;Domenico Cozzetto;Massimiliano Pontil

  • A tale of many cities: universal patterns in human urban mobility.

    Anastasios Noulas;Salvatore Scellato;Renaud Lambiotte;Massimiliano Pontil

  • An Empirical Study of Geographic User Activity Patterns in Foursquare.

    Anastasios Noulas;Salvatore Scellato;Cecilia Mascolo;Massimiliano Pontil

  • On Learning Vector-Valued Functions

    Charles A. Micchelli;Massimiliano A. Pontil

  • Optimal kernel choice for large-scale two-sample tests

    Arthur Gretton;Dino Sejdinovic;Heiko Strathmann;Sivaraman Balakrishnan

  • Learning the Kernel Function via Regularization

    Charles A. Micchelli;Massimiliano Pontil

  • Quantum machine learning: a classical perspective.

    Carlo Ciliberto;Mark Herbster;Alessandro Davide Ialongo;Alessandro Davide Ialongo;Massimiliano Pontil;Massimiliano Pontil

  • Support vector machines: theory and applications

    Theodoros Evgeniou;Massimiliano Pontil

  • Oracle Inequalities and Optimal Inference under Group Sparsity

    Karim Lounici;Massimiliano Pontil;Sara van de Geer;Alexandre B. Tsybakov

  • Unsupervised Cross-Dataset Transfer Learning for Person Re-identification

    Peixi Peng;Tao Xiang;Yaowei Wang;Massimiliano Pontil

  • Empirical Bernstein Bounds and Sample Variance Penalization

    Andreas Maurer;Massimiliano Pontil

  • Properties of Support Vector Machines

    Massimiliano Pontil;Alessandro Verri

  • Face Detection in Still Gray Images

    Bernd Heisele;Tomaso poggio;Massimilinao Pontil

  • On Spectral Learning

    Andreas Argyriou;Charles A. Micchelli;Massimiliano Pontil

Frequent Co-Authors

Charles A. Micchelli
Charles A. Micchelli University at Albany, State University of New York
Paolo Frasconi
Paolo Frasconi University of Florence
Alessandro Verri
Alessandro Verri University of Genoa
Luca Oneto
Luca Oneto University of Genoa
John Shawe-Taylor
John Shawe-Taylor University College London
Janaina Mourao-Miranda
Janaina Mourao-Miranda University College London
Arthur Gretton
Arthur Gretton University College London
Alexandre B. Tsybakov
Alexandre B. Tsybakov École Nationale de la Statistique et de l'Administration Économique

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