World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
22565
World Ranking
5471
National Ranking
120

Marco Gori 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 Marco Gori 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: 415 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Marco Gori 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 Marco Gori 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: 50 D-Index — 62nd percentile

62% 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

  • 2014 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to neural networks and machine learning models for pattern recognition
  • 2001 - IEEE Fellow For contributions to the theory of recurrent neural networks, and applications of neural network-based technologies.

Overview

Marco Gori is affiliated with the University of Siena in Italy and has contributed extensively to the field of computer science, producing 194 publications primarily focused on artificial intelligence and its related areas.

The researcher's work spans several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Infectious Diseases
  • Oncology
  • Molecular Biology

Main topics explored in their research include:

  • Neural Networks and Applications
  • Topic Modeling
  • Machine Learning and Data Classification
  • Natural Language Processing Techniques
  • Advanced Graph Neural Networks
  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning

Some of the frequent co-authors collaborating with Marco Gori are:

  • Stefano Melacci
  • Alessandro Betti
  • Matteo Tiezzi
  • Marco Maggini
  • Nicola Picchiotti

Publications have appeared predominantly in venues such as:

  • arXiv (Cornell University)
  • Neural Networks
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Lecture Notes in Computer Science

Notable recent papers include:

  • "Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective," 2020, arXiv (Cornell University)
  • "Shorter androgen receptor polyQ alleles protect against life-threatening COVID-19 disease in European males," 2021, EBioMedicine
  • "Logic Explained Networks," 2022, Artificial Intelligence
  • "Entropy-Based Logic Explanations of Neural Networks," 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Pathogen-sugar interactions revealed by universal saturation transfer analysis," 2022, Science

Marco Gori has contributed to book literature with the publication of Deep Learning to See in 2022 through Springer Nature.

The academic recognitions awarded include:

  • Fellow of the International Association for Pattern Recognition (IAPR), 2014, cited for contributions to neural networks and machine learning models for pattern recognition
  • IEEE Fellow, 2001, recognized for contributions to the theory of recurrent neural networks and their applications

Best Publications

  • The Graph Neural Network Model

    F. Scarselli;M. Gori;Ah Chung Tsoi;M. Hagenbuchner

  • A new model for learning in graph domains

    M. Gori;G. Monfardini;F. Scarselli

  • Focused Crawling Using Context Graphs

    Michelangelo Diligenti;Frans Coetzee;Steve Lawrence;C. Lee Giles

  • On the problem of local minima in backpropagation

    M. Gori;A. Tesi

  • Inside PageRank

    Monica Bianchini;Marco Gori;Franco Scarselli

  • A general framework for adaptive processing of data structures

    P. Frasconi;M. Gori;A. Sperduti

  • Learning without local minima in radial basis function networks

    M. Bianchini;P. Frasconi;M. Gori

  • ItemRank: a random-walk based scoring algorithm for recommender engines

    Marco Gori;Augusto Pucci

  • A survey of hybrid ANN/HMM models for automatic speech recognition

    Edmondo Trentin;Marco Gori

  • Local feedback multilayered networks

    Paolo Frasconi;Marco Gori;Giovanni Soda

  • Artificial neural networks for document analysis and recognition

    S. Marinai;M. Gori;G. Soda

  • Computational Capabilities of Graph Neural Networks

    F. Scarselli;M. Gori;Ah Chung Tsoi;M. Hagenbuchner

  • Exact and approximate graph matching using random walks

    M. Gori;M. Maggini;L. Sarti

  • Research Paper Recommender Systems: A Random-Walk Based Approach

    M. Gori;A. Pucci

  • Recognition of common areas in a Web page using visual information: a possible application in a page classification

    M. Kovacevic;M. Diligenti;M. Gori;V. Milutinovic

  • A neural network-based model for paper currency recognition and verification

    A. Frosini;M. Gori;P. Priami

  • Hidden tree Markov models for document image classification

    M. Diligenti;P. Frasconi;M. Gori

  • Semantic-based regularization for learning and inference

    Michelangelo Diligenti;Marco Gori;Claudio Saccà

  • Are multilayer perceptrons adequate for pattern recognition and verification

    M. Gori;F. Scarselli

  • Adaptive Processing of Sequences and Data Structures

    C. Lee Giles;Marco Gori

Frequent Co-Authors

Paolo Frasconi
Paolo Frasconi University of Florence
Alessandro Sperduti
Alessandro Sperduti University of Padua
Ah Chung Tsoi
Ah Chung Tsoi University of Wollongong
Ian H. Witten
Ian H. Witten University of Waikato
Alessandra Renieri
Alessandra Renieri University of Siena
Francesca Mari
Francesca Mari University of Siena
Alberto Bemporad
Alberto Bemporad IMT Institute for Advanced Studies Lucca
Artur S. d'Avila Garcez
Artur S. d'Avila Garcez City, University of London
C. Lee Giles
C. Lee Giles Pennsylvania State University
Stefano Ceri
Stefano Ceri Polytechnic University of Milan

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