World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
14733
World Ranking
5239
National Ranking
112

Mario Vento 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 Mario Vento 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: 329 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Mario Vento 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 Mario Vento 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: 51 D-Index — 63rd percentile

63% 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

  • 2004 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to graph based learning and matching techniques, and for service to IAPR.

Overview

Mario Vento is affiliated with the University of Salerno in Italy. Their research primarily focuses on computer science with a specialized emphasis on computer vision and pattern recognition, artificial intelligence, and signal processing. The scientist has also contributed to work in computer networks and communications as well as experimental and cognitive psychology.

Vento's research topics cover a range of areas including:

  • Face recognition and analysis
  • Speech and audio processing
  • Speech recognition and synthesis
  • Music and audio processing
  • Video surveillance and tracking methods
  • Face and expression recognition
  • Emotion and mood recognition

The scientist has frequently published in venues such as:

  • Pattern Recognition Letters
  • Neural Computing and Applications
  • Journal of Ambient Intelligence and Humanized Computing
  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent papers authored by Mario Vento include:

  • "Trends in IoT based solutions for health care: Moving AI to the edge" (2020) published in Pattern Recognition Letters
  • "Age from Faces in the Deep Learning Revolution" (2020) published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "AReN: A Deep Learning Approach for Sound Event Recognition Using a Brain Inspired Representation" (2020) published in IEEE Transactions on Information Forensics and Security
  • "Multi-task learning on the edge for effective gender, age, ethnicity and emotion recognition" (2022) published in Engineering Applications of Artificial Intelligence
  • "A Convolutional Neural Network for Gender Recognition Optimizing the Accuracy/Speed Tradeoff" (2020) published in IEEE Access

Frequent co-authors collaborating with Vento include:

  • Alessia Saggese
  • Antonio Greco
  • Pasquale Foggia
  • Vincenzo Carletti
  • Gennaro Percannella

The scientist's book publications are associated with publishers such as Springer Science+Business Media and Centre National de la Recherche Scientifique. Notable titles include "Computer Analysis of Images and Patterns" (2021), "Image Analysis and Processing - ICIAP 2022" (2022), and "Proceedings of the 13th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition" (2023).

Mario Vento was recognized as a Fellow of the International Association for Pattern Recognition (IAPR) in 2004 for contributions to graph based learning and matching techniques and for service to the organization.

Best Publications

  • THIRTY YEARS OF GRAPH MATCHING IN PATTERN RECOGNITION

    Donatello Conte;Pasquale Foggia;Carlo Sansone;Mario Vento

  • A (sub)graph isomorphism algorithm for matching large graphs

    L.P. Cordella;P. Foggia;C. Sansone;M. Vento

  • Trainable COSFIRE filters for vessel delineation with application to retinal images

    George Azzopardi;Nicola Strisciuglio;Mario Vento;Nicolai Petkov

  • An Improved Algorithm for Matching Large Graphs

    L. P. Cordella;P. Foggia;C. Sansone;M. Vento

  • Real-Time Fire Detection for Video-Surveillance Applications Using a Combination of Experts Based on Color, Shape, and Motion

    Pasquale Foggia;Alessia Saggese;Mario Vento

  • GRAPH MATCHING AND LEARNING IN PATTERN RECOGNITION IN THE LAST 10 YEARS

    Pasquale Foggia;Gennaro Percannella;Mario Vento

  • Performance evaluation of the VF graph matching algorithm

    L.P. Cordella;P. Foggia;C. Sansone;M. Vento

  • Trends in IoT based solutions for health care: Moving AI to the edge

    Luca Greco;Gennaro Percannella;Pierluigi Ritrovato;Francesco Tortorella

  • To reject or not to reject: that is the question-an answer in case of neural classifiers

    C. De Stefano;C. Sansone;M. Vento

  • Audio Surveillance of Roads: A System for Detecting Anomalous Sounds

    Pasquale Foggia;Nicolai Petkov;Alessia Saggese;Nicola Strisciuglio

  • Benchmarking HEp-2 Cells Classification Methods

    Pasquale Foggia;Gennaro Percannella;Paolo Soda;Mario Vento

  • A Performance Comparison of Five Algorithms for Graph Isomorphism

    P. Foggia;C.Sansone;M. Vento

  • Reliable detection of audio events in highly noisy environments

    Pasquale Foggia;Nicolai Petkov;Alessia Saggese;Nicola Strisciuglio

  • Challenging the Time Complexity of Exact Subgraph Isomorphism for Huge and Dense Graphs with VF3

    Vincenzo Carletti;Pasquale Foggia;Alessia Saggese;Mario Vento

  • A Database of Graphs for Isomorphism and Sub-Graph Isomorphism Benchmarking

    Pasquale Foggia;C Sansone;Mario Vento

  • A Comparison of Algorithms for Maximum Common Subgraph on Randomly Connected Graphs

    Horst Bunke;Pasquale Foggia;C. Guidobaldi;Carlo Sansone

  • Symbol recognition in documents: a collection of techniques?

    Luigi P. Cordella;Mario Vento

  • A long trip in the charming world of graphs for Pattern Recognition

    Mario Vento

  • Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Database of Graphs

    Donatello Conte;Pasquale Foggia;Mario Vento

  • A method for improving classification reliability of multilayer perceptrons

    L.P. Cordella;C. De Stefano;F. Tortorella;M. Vento

Frequent Co-Authors

Pasquale Foggia
Pasquale Foggia University of Salerno
Carlo Sansone
Carlo Sansone University of Naples Federico II
Nicolai Petkov
Nicolai Petkov University of Groningen
Brian C. Lovell
Brian C. Lovell University of Queensland
Vincenzo Loia
Vincenzo Loia University of Salerno
Horst Bunke
Horst Bunke University of Bern
Xiaoyi Jiang
Xiaoyi Jiang University of Münster
Mehrtash Harandi
Mehrtash Harandi Monash University
Piergiulio Cappelletti
Piergiulio Cappelletti University of Naples Federico II
Kaoru Ota
Kaoru Ota Tohoku University

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