World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8271
World Ranking
7563
National Ranking
194

Matteo Matteucci 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 Matteo Matteucci 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: 305 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Matteo Matteucci 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 Matteo Matteucci 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Matteo Matteucci is affiliated with the Polytechnic University of Milan in Italy. Their primary research areas span computer science and engineering, with a particular focus on subfields such as computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, aerospace engineering, and automotive engineering.

Their research topics include advanced neural network applications, robotics and sensor-based localization, autonomous vehicle technology and safety, privacy-preserving technologies in data, robotic path planning algorithms, machine learning and data classification, and advanced vision and imaging.

Matteucci has contributed to numerous scientific publications. Some of their recent papers include:

  • Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review (2020), Remote Sensing
  • Skeleton-based action recognition via spatial and temporal transformer networks (2021), Computer Vision and Image Understanding
  • The Digital Agricultural Revolution: A Bibliometric Analysis Literature Review (2021), Virtual Community of Pathological Anatomy (University of Castilla La Mancha)
  • A Deep Learning Approach for Change Points Detection in InSAR Time Series (2022), IEEE Transactions on Geoscience and Remote Sensing
  • E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent coauthors collaborating with Matteo Matteucci include Eugenio Lomurno, Simone Mentasti, Simona Ferrante, Linda Greta Dui, and Riccardo Bertoglio.

The main venues for their publications have been arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), the 2022 IEEE Intelligent Vehicles Symposium (IV), Sensors, and Frontiers in Robotics and AI.

Matteucci has also contributed to book publications, including one titled "8th International Conference on Machine Control and Guidance Proceedings. Online, 17th-18th November 2022," published by Politechnika Wrocławska, Oficyna Wydawnicza eBooks.

Best Publications

  • Deep learning for land use and land cover classification based on hyperspectral and multispectral earth observation data: A review

    Ava Vali;Sara Comai;Matteo Matteucci

  • Skeleton-based action recognition via spatial and temporal transformer networks

    Chiara Plizzari;Chiara Plizzari;Marco Cannici;Matteo Matteucci

  • ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks.

    Francesco Visin;Kyle Kastner;Kyunghyun Cho;Matteo Matteucci

  • Artificial neural networks and cluster analysis in landslide susceptibility zonation

    C. Melchiorre;M. Matteucci;A. Azzoni;A. Zanchi

  • ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation

    Francesco Visin;Adriana Romero;Kyunghyun Cho;Matteo Matteucci

  • Sleep Staging Based on Signals Acquired Through Bed Sensor

    Juha M Kortelainen;Martin O Mendez;Anna Maria Bianchi;Matteo Matteucci

  • Spatial Temporal Transformer Network for Skeleton-Based Action Recognition

    Chiara Plizzari;Marco Cannici;Matteo Matteucci

  • Detecting Intrusions through System Call Sequence and Argument Analysis

    Federico Maggi;Matteo Matteucci;Stefano Zanero

  • Online detection of p300 and error potentials in a BCI speller

    Bernardo Dal Seno;Matteo Matteucci;Luca Mainardi

  • Sleep Apnea Screening by Autoregressive Models From a Single ECG Lead

    M.O. Mendez;A.M. Bianchi;M. Matteucci;S. Cerutti

  • Rawseeds ground truth collection systems for indoor self-localization and mapping

    Simone Ceriani;Giulio Fontana;Alessandro Giusti;Daniele Marzorati

  • ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation

    Francesco Visin;Marco Ciccone;Adriana Romero;Kyle Kastner

  • Automatic screening of obstructive sleep apnea from the ECG based on empirical mode decomposition and wavelet analysis.

    M O Mendez;J Corthout;S Van Huffel;M Matteucci

  • A revaluation of frame difference in fast and robust motion detection

    Davide A. Migliore;Matteo Matteucci;Matteo Naccari

  • The Utility Metric: A Novel Method to Assess the Overall Performance of Discrete Brain–Computer Interfaces

    B.Dal Seno;M. Matteucci;L.T. Mainardi

  • An Evaluation Methodology for Collaborative Recommender Systems

    P. Cremonesi;R. Turrin;E. Lentini;M. Matteucci

  • Deep Learning for SAR Image Despeckling

    Francesco Lattari;Borja Gonzalez Leon;Francesco Asaro;Alessio Rucci

  • Sleep staging from Heart Rate Variability: time-varying spectral features and Hidden Markov Models

    Martin Oswaldo Mendez;Matteo Matteucci;Vincenza Castronovo;Luigi Ferini-Strambi

  • Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras

    Marco Cannici;Marco Ciccone;Andrea Romanoni;Matteo Matteucci

  • Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices

    Alessandro Brusaferri;Matteo Matteucci;Pietro Portolani;Andrea Vitali

  • Detection of Sleep Apnea from surface ECG based on features extracted by an Autoregressive Model

    M.O. Mendez;D.D. Ruini;O.P. Villantieri;M. Matteucci

  • Automatic Error Detection and Reduction for an Odometric Sensor based on Two Optical Mice

    A. Bonarini;M. Matteucci;M. Restelli

Frequent Co-Authors

Daniele Nardi
Daniele Nardi Sapienza University of Rome
Federico Cheli
Federico Cheli Polytechnic University of Milan
Vincenzo Piuri
Vincenzo Piuri University of Milan
Fabio Scotti
Fabio Scotti University of Milan
Luca Iocchi
Luca Iocchi Sapienza University of Rome
Cesare Alippi
Cesare Alippi Polytechnic University of Milan
Yoshua Bengio
Yoshua Bengio University of Montreal
Aaron Courville
Aaron Courville University of Montreal
Kyunghyun Cho
Kyunghyun Cho New York University
Liborio Parrino
Liborio Parrino University of Parma

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