World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
13235
World Ranking
5784
National Ranking
132

Marcello Pelillo 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 Marcello Pelillo 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 278 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Marcello Pelillo 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 Marcello Pelillo sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Marcello Pelillo is affiliated with Ca Foscari University of Venice in Italy. Their research work focuses primarily on computer science, with specific emphasis on computer vision and pattern recognition, artificial intelligence, signal processing, computational theory and mathematics, and statistical and nonlinear physics.

They have published extensively in various domains, with a strong presence in several key fields of study and subfields. The main fields of study include:

  • Computer Science

The subfields of study covered in their publications are:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Signal Processing
  • Computational Theory and Mathematics
  • Statistical and Nonlinear Physics

Their main topics of work cover a range of specialized areas, such as:

  • Image Processing and 3D Reconstruction
  • Adversarial Robustness in Machine Learning
  • Advanced Image and Video Retrieval Techniques
  • Handwritten Text Recognition Techniques
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • Advanced Graph Neural Networks

Pelillo has contributed noteworthy recent publications, including:

  • "Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images" (2021) published in IEEE Transactions on Geoscience and Remote Sensing
  • "Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning" (2023) published in ACM Computing Surveys
  • "HELP: An LSTM-based approach to hyperparameter exploration in neural network learning" (2021) published in Neurocomputing
  • "A black-box adversarial attack for poisoning clustering" (2021) published in Pattern Recognition
  • "Locality-aware subgraphs for inductive link prediction in knowledge graphs" (2023) published in Pattern Recognition Letters

The venues where Pelillo has frequently published include:

  • arXiv (Cornell University)
  • Pattern Recognition
  • Zenodo (CERN European Organization for Nuclear Research)
  • Pattern Recognition Letters
  • Neurocomputing

Pelillo has collaborated repeatedly with several co-authors, such as:

  • Sebastiano Vascon (33 publications)
  • Antonio Emanuele Cinà (19 publications)
  • Battista Biggio (15 publications)
  • Fabio Roli (15 publications)
  • Ambra Demontis (13 publications)

In addition to journal articles, they have contributed to books published primarily by Springer Science+Business Media and Frontiers Media. The Springer publications include multiple titles such as:

  • Analysis of Images, Social Networks and Texts (2020, 2021)
  • Structural, Syntactic, and Statistical Pattern Recognition (2021)
  • Image Analysis and Processing - ICIAP 2022 (2022)
  • Recent Trends in Analysis of Images, Social Networks and Texts (2021)

They also contributed to the volume titled "2022 Computer Science - Editor's Pick" published by Frontiers Media in 2023.

Best Publications

  • DOTA: A Large-Scale Dataset for Object Detection in Aerial Images

    Gui-Song Xia;Xiang Bai;Jian Ding;Zhen Zhu

  • The maximum clique problem

    Immanuel M. Bomze;Marco Budinich;Panos M. Pardalos;Marcello Pelillo

  • Matching hierarchical structures using association graphs

    M. Pelillo;K. Siddiqi;S.W. Zucker

  • An iterative pruning algorithm for feedforward neural networks

    G. Castellano;A.M. Fanelli;M. Pelillo

  • Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

    Jian Ding;Nan Xue;Gui-Song Xia;Xiang Bai

  • Dominant Sets and Pairwise Clustering

    M. Pavan;M. Pelillo

  • Structured class-labels in random forests for semantic image labelling

    Peter Kontschieder;Samuel Rota Bulo;Horst Bischof;Marcello Pelillo

  • A new graph-theoretic approach to clustering and segmentation

    M. Pavan;M. Pelillo

  • Replicator Equations, Maximal Cliques, and Graph Isomorphism

    Marcello Pelillo

  • Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images

    Kunping Yang;Gui-Song Xia;Zicheng Liu;Bo Du

  • Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition

    Chu Wang;Marcello Pelillo;Kaleem Siddiqi

  • A Game-Theoretic Approach to Hypergraph Clustering

    Samuel R. Bulò;Marcello Pelillo

  • Is data clustering in adversarial settings secure

    Battista Biggio;Ignazio Pillai;Samuel Rota Bulò;Davide Ariu

  • Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning

    Unknown

  • The Dynamics of Nonlinear Relaxation Labeling Processes

    Marcello Pelillo

  • A Game-Theoretic Approach to Hypergraph Clustering

    Samuel Rota Bul #x F;Marcello Pelillo

  • Approximating the maximum weight clique using replicator dynamics

    I.R. Bomze;M. Pelillo;V. Stix

  • Learning compatibility coefficients for relaxation labeling processes

    M. Pelillo;M. Refice

  • Matching as a non-cooperative game

    Andrea Albarelli;Samuel Rota Bulo;Andrea Torsello;Marcello Pelillo

  • Graph-based quadratic optimization: A fast evolutionary approach

    Samuel Rota Bulò;Marcello Pelillo;Immanuel M. Bomze

  • Polynomial-time metrics for attributed trees

    A. Torsello;D. Hidovic-Rowe;M. Pelillo

  • Relaxation labeling networks for the maximum clique problem

    Marcello Pelillo

Frequent Co-Authors

Samuel Rota Bulò
Samuel Rota Bulò Facebook (United States)
Andrea Torsello
Andrea Torsello Ca Foscari University of Venice
Edwin R. Hancock
Edwin R. Hancock University of York
Andrea Prati
Andrea Prati University of Parma
Kaleem Siddiqi
Kaleem Siddiqi McGill University
Vittorio Murino
Vittorio Murino University of Verona
Steven W. Zucker
Steven W. Zucker Yale University
Mário A. T. Figueiredo
Mário A. T. Figueiredo Instituto Superior Técnico
Horst Bischof
Horst Bischof Graz University of Technology
Marco Cristani
Marco Cristani University of Verona

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens the door to flexible study options and diverse career pathways. Many students choose to begin with an associate degree online, which can provide a solid technical foundation and allow for smooth transfer to a bachelor’s program.

Cost is a significant consideration for many students. Fortunately, there are several affordable online colleges offering high-quality computer science programs. These options help reduce financial barriers while providing access to valuable education.

Admissions policies vary, and not all schools have the same GPA requirements. If you’re concerned about academic performance, look for online schools that accept low gpa to help you get started on your academic journey in computer science.

Computer science degrees lead to roles in software engineering, cybersecurity, and more. If you are exploring similar STEM fields, you might wonder what can you do with an environmental science degree. Both areas offer dynamic job markets and opportunities to make a real-world impact.

Best Scientists Citing Marcello Pelillo

Trending Scientists

Recently Published Articles