World's Best Scientists 2026 revealed!
Alessandro Verri

Alessandro Verri

D-Index & Metrics

Computer Science

D-Index
42
Citations
14308
World Ranking
8161
National Ranking
224

Alessandro Verri 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 Alessandro Verri 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: 174 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Alessandro Verri 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 Alessandro Verri 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Alessandro Verri is affiliated with the University of Genoa in Italy and has developed research primarily in the fields of Computer Science and Earth and Planetary Sciences. Their work covers various subfields including Artificial Intelligence, Atmospheric Science, Oceanography, Computer Vision and Pattern Recognition, as well as Hematology.

The research topics Verri has contributed to include:

  • Meteorological Phenomena and Simulations
  • Context-Aware Activity Recognition Systems
  • Underwater Acoustics Research
  • Energy Load and Power Forecasting
  • Solar Radiation and Photovoltaics
  • AI in cancer detection
  • Insect Pheromone Research and Control

Verri's recent publications feature research on machine learning applications for environmental monitoring and medical science. Selected papers include:

  • "Physics informed machine learning for wind speed prediction" (2023), published in Energy
  • "A Supervised Learning Approach for Rainfall Detection From Underwater Noise Analysis" (2021), published in IEEE Journal of Oceanic Engineering
  • "Introducing Temporal Correlation in Rainfall and Wind Prediction From Underwater Noise" (2023), published in IEEE Journal of Oceanic Engineering
  • "Compounding Approaches for Wind Prediction From Underwater Noise by Supervised Learning" (2022), published in IEEE Journal of Oceanic Engineering
  • "Transplantation Induces Profound Changes in the Transcriptional Asset of Hematopoietic Stem Cells: Identification of Specific Signatures Using Machine Learning Techniques" (2020), published in Journal of Clinical Medicine

Frequent publication venues for Verri include:

  • IEEE Journal of Oceanic Engineering
  • arXiv (Cornell University)
  • eLife
  • Energy
  • Journal of Clinical Medicine

The scientist has collaborated most often with:

  • Annalisa Barla
  • Lorenzo Rosasco
  • Agnese Seminara
  • Maurizio Leotta
  • Andrea Fasciglione

Verri's research integrates diverse methodologies, particularly machine learning, to analyze and predict environmental phenomena such as wind speed and rainfall through underwater acoustics data. The application of computational techniques in biomedical contexts is also represented in their scientific portfolio, as evidenced by research exploring transcriptional changes in hematopoietic stem cells.

Best Publications

  • Introductory Techniques for 3-D Computer Vision

    Emanuele Trucco;Alessandro Verri

  • Support vector machines for 3D object recognition

    M. Pontil;A. Verri

  • A compact algorithm for rectification of stereo pairs

    Andrea Fusiello;Emanuele Trucco;Alessandro Verri

  • Are loss functions all the same

    Lorenzo Rosasco;Ernesto De Vito;Andrea Caponnetto;Michele Piana

  • A computational approach to motion perception

    S. Uras;F. Girosi;A. Verri;V. Torre

  • Motion field and optical flow: qualitative properties

    Alessandro Verri;Tomaso Poggio

  • A novel kernel method for clustering

    F. Camastra;A. Verri

  • Histogram intersection kernel for image classification

    A. Barla;F. Odone;A. Verri

  • Properties of Support Vector Machines

    Massimiliano Pontil;Alessandro Verri

  • First-order analysis of optical flow in monkey brain

    G A Orban;L Lagae;A Verri;S Raiguel

  • Against Quantitative Optical Flow

    A. Verri

  • Accelerated and Inexact Forward-Backward Algorithms

    Silvia Villa;Saverio Salzo;Luca Baldassarre;Alessandro Verri

  • Pattern Recognition with Support Vector Machines

    Seong-Whan Lee;Alessandro Verri

  • Differential techniques for optical flow

    Alessandro Verri;F Girosi;V. Torre

  • On the use of size functions for shape analysis

    A. Verri;C. Uras;P. Frosini;M. Ferri

  • Spectral algorithms for supervised learning

    L. Lo Gerfo;L. Rosasco;F. Odone;E. De Vito

  • Building kernels from binary strings for image matching

    F. Odone;A. Barla;A. Verri

  • SVD-matching using SIFT features

    Elisabetta Delponte;Francesco Isgrò;Francesca Odone;Alessandro Verri

  • Rectification with unconstrained stereo geometry

    Andrea Fusiello;Emanuele Trucco;Alessandro Verri

  • Mathematical properties of the two-dimensional motion field: from singular points to motion parameters

    A. Verri;F. Girosi;V. Torre

  • Iterative Projection Methods for Structured Sparsity Regularization

    Lorenzo Rosasco;Alessandro Verri;Matteo Santoro;Sofia Mosci

  • Some Properties of Regularized Kernel Methods

    Ernesto De Vito;Lorenzo Rosasco;Andrea Caponnetto;Michele Piana

Frequent Co-Authors

Massimiliano Pontil
Massimiliano Pontil Italian Institute of Technology
Emanuele Trucco
Emanuele Trucco University of Dundee
Luigi Varesio
Luigi Varesio MRC Laboratory of Molecular Biology
Giulio Sandini
Giulio Sandini Italian Institute of Technology
Seong-Whan Lee
Seong-Whan Lee Korea University
Angelo Ravelli
Angelo Ravelli University of Genoa
Alberto Martini
Alberto Martini University of Genoa
Rogier Versteeg
Rogier Versteeg University of Amsterdam

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