World's Best Scientists 2026 revealed!
Massimo Bertozzi

Massimo Bertozzi

D-Index & Metrics

Computer Science

D-Index
37
Citations
8282
World Ranking
10539
National Ranking
322

Massimo Bertozzi 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 Massimo Bertozzi 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: 118 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Massimo Bertozzi 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 Massimo Bertozzi 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Massimo Bertozzi is affiliated with the University of Parma in Italy and works primarily in the fields of Computer Science and Engineering. Their research focuses heavily on Computer Vision and Pattern Recognition, encompassing subfields such as Artificial Intelligence, Computational Mechanics, Automotive Engineering, and Environmental Engineering.

The scientist's work covers a range of topics including Generative Adversarial Networks and Image Synthesis, Face Recognition and Analysis, Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging, Video Surveillance and Tracking Methods, 3D Shape Modeling and Analysis, and Multimodal Machine Learning Applications.

Frequent publication venues for Massimo Bertozzi include:

  • arXiv (Cornell University)
  • ACM Transactions on Multimedia Computing Communications and Applications
  • Wireless Communications and Mobile Computing
  • 2022 IEEE Intelligent Vehicles Symposium (IV)
  • Pattern Recognition Letters

Among recent papers authored or coauthored by Massimo Bertozzi are:

  • MARS: Paying More Attention to Visual Attributes for Text-Based Person Search, 2025, ACM Transactions on Multimedia Computing Communications and Applications
  • Revisiting PatchMatch Multi-View Stereo for Urban 3D Reconstruction, 2022, 2022 IEEE Intelligent Vehicles Symposium (IV)
  • Energy and Path-Aware-Reliable Routing in Underwater Acoustic Wireless Sensor Networks, 2022, Wireless Communications and Mobile Computing
  • FrankenMask: Manipulating semantic masks with transformers for face parts editing, 2023, Pattern Recognition Letters
  • Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians, 2022, arXiv (Cornell University)

Massimo Bertozzi has collaborated frequently with several researchers, including Tomaso Fontanini, Andrea Prati, Claudio Ferrari, Alex Ergasti, and Marco Orsingher. The collaboration counts range from 6 to 18 joint works, indicating sustained partnerships within the research community.

Best Publications

  • GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection

    M. Bertozzi;A. Broggi

  • Vision-based intelligent vehicles: State of the art and perspectives

    Massimo Bertozzi;Alberto Broggi;Alessandra Fascioli

  • Artificial vision in road vehicles

    M. Bertozzi;A. Broggi;M. Cellario;A. Fascioli

  • Shape-based pedestrian detection

    A. Broggi;M. Bertozzi;A. Fascioli;M. Sechi

  • Stereo inverse perspective mapping: theory and applications

    Massimo Bertozz;Alberto Broggi;Alessandra Fascioli

  • Stereo vision-based vehicle detection

    M. Bertozzi;A. Broggi;A. Fascioli;S. Nichele

  • Automatic Vehicle Guidance: the Experience of the ARGO Autonomous Vehicle

    Alberto Broggi;Massimo Bertozzi;Alessandra Fascioli;Gianni Conte

  • Pedestrian detection for driver assistance using multiresolution infrared vision

    M. Bertozzi;A. Broggi;A. Fascioli;T. Graf

  • Vehicle detection by means of stereo vision-based obstacles features extraction and monocular pattern analysis

    G. Toulminet;M. Bertozzi;S. Mousset;A. Bensrhair

  • A cooperative approach to vision-based vehicle detection

    A. Bensrhair;M. Bertozzi;A. Broggi;P. Miche

  • Visual perception of obstacles and vehicles for platooning

    A. Broggi;M. Bertozzi;A. Fascioli;C. Guarino Lo Bianco

  • A real-time oriented system for vehicle detection

    Massimo Bertozzi;Alberto Broggi;Stefano Castelluccio

  • Pedestrian detection by means of far-infrared stereo vision

    M. Bertozzi;A. Broggi;C. Caraffi;M. Del Rose

  • A Pedestrian Detector Using Histograms of Oriented Gradients and a Support Vector Machine Classifier

    M. Bertozzi;A. Broggi;M. Del Rose;M. Felisa

  • Real-time lane and obstacle detection on the GOLD system

    M. Bertozzi;A. Broggi

  • Quintic G/sup 2/-splines for the iterative steering of vision-based autonomous vehicles

    A. Piazzi;C.G. Lo Bianco;M. Bertozzi;A. Fascioli

  • Pedestrian detection in infrared images

    M. Bertozzi;A. Broggi;P. Grisleri;T. Graf

  • Pedestrian localization and tracking system with Kalman filtering

    M. Bertozzi;A. Broggi;A. Fascioli;A. Tibaldi

  • Self-Localization Based on Visual Lane Marking Maps: An Accurate Low-Cost Approach for Autonomous Driving

    Rafael Peixoto Derenzi Vivacqua;Massimo Bertozzi;Pietro Cerri;Felipe Nascimento Martins

  • Shape-based pedestrian detection and localization

    M. Bertozzi;A. Broggi;R. Chapuis;F. Chausse

Frequent Co-Authors

Alberto Broggi
Alberto Broggi University of Parma
Roberto Passerone
Roberto Passerone University of Trento
Alain Rakotomamonjy
Alain Rakotomamonjy Criteo (France)

External Links

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