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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
70
Citations
22390
World Ranking
1856
National Ranking
105

Riccardo Poli 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 Riccardo Poli 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: 400 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Riccardo Poli 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 Riccardo Poli 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: 70 D-Index — 87th percentile

87% 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

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Riccardo Poli is affiliated with the University of Essex in the United Kingdom and has contributed extensively to the fields of Neuroscience and Computer Science. Their research spans multiple topics and subfields, with a significant focus on Cognitive Neuroscience and Artificial Intelligence.

Their main research topics include:

  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Advanced Memory and Neural Computing
  • Neural Networks and Applications
  • Neural and Behavioral Psychology Studies
  • Digital Mental Health Interventions
  • Mental Health Research Topics

Riccardo Poli has published frequently in various scientific journals. The most notable publication venues include:

  • Journal of Neural Engineering
  • Neural Networks
  • Scientific Reports
  • BMC Psychiatry
  • EClinicalMedicine

Their recent scholarly papers include:

  • "Successfully and efficiently training deep multi-layer perceptrons with logistic activation function simply requires initializing the weights with an appropriate negative mean" (2022, Neural Networks)
  • "A protocol for a multicentre, parallel-group, pragmatic randomised controlled trial to evaluate the NEVERMIND system in preventing and treating depression in patients with severe somatic conditions" (2020, BMC Psychiatry)
  • "The NEVERMIND e-health system in the treatment of depressive symptoms among patients with severe somatic conditions: A multicentre, pragmatic randomised controlled trial" (2022, EClinicalMedicine)
  • "Anytime collaborative brain-computer interfaces for enhancing perceptual group decision-making" (2021, Scientific Reports)
  • "Subject- and task-independent neural correlates and prediction of decision confidence in perceptual decision making" (2021, Journal of Neural Engineering)

Their frequent co-authors include:

  • Luca Citi
  • Caterina Cinel
  • Davide Valeriani
  • Saugat Bhattacharyya
  • Milan Rybář

Best Publications

  • A Field Guide to Genetic Programming

    Riccardo Poli;William B. Langdon;Nicholas Freitag McPhee

  • Genetic and Evolutionary Computation - GECCO 2004

    K. Deb;R. Poli;W. Banzhaf;H-G. Beyer

  • New Ideas In Optimization

    David Corne;Marco Dorigo;Fred Glover;Dipankar Dasgupta

  • Foundations of Genetic Programming

    William B. Langdon;Riccardo Poli

  • Analysis of the publications on the applications of particle swarm optimisation

    Riccardo Poli

  • Particle Swarm Optimisation

    Riccardo Poli;Jim Kennedy;Tim Blackwell

  • Parallel genetic algorithm taxonomy

    M. Nowostawski;R. Poli

  • Genetic design of optimum linear and nonlinear QRS detectors

    R. Poli;S. Cagnoni;G. Valli

  • Fitness Causes Bloat

    W. B. Langdon;R. Poli

  • Schema theory for genetic programming with one-point crossover and point mutation

    Riccardo Poli;William B. Langdon

  • The evolution of size and shape

    William B. Langdon;Tery Soule;Riccardo Poli;James A. Foster

  • A simple but theoretically-motivated method to control bloat in genetic programming

    Riccardo Poli

  • Genetic programming for image analysis

    Riccardo Poli

  • P300-Based BCI Mouse With Genetically-Optimized Analogue Control

    L. Citi;R. Poli;C. Cinel;F. Sepulveda

  • Why Ants are Hard

    W. B. Langdon;R. Poli

  • Mean and Variance of the Sampling Distribution of Particle Swarm Optimizers During Stagnation

    R. Poli

  • Proceedings of the Genetic and Evolutionary Computation Conference

    William B. Langdon;Erick Cantú-Paz;Keith E. Mathias;Rajkumar Roy

  • Genetic algorithm-based interactive segmentation of 3D medical images

    Stefano Cagnoni;A. B. Dobrzeniecki;Riccardo Poli;J. C. Yanch

  • An algorithm for real-time vessel enhancement and detection.

    Riccardo Poli;Guido Valli

  • Genetic Programming: An Introduction and Tutorial, with a Survey of techniques and Applications

    William B. Langdon;Riccardo Poli;Nicholas Freitag McPhee;John R. Koza

  • Genetic and evolutionary computation

    Stefano Cagnoni;Riccardo Poli

  • Genetic Programming with One-Point Crossover and Point Mutation

    R Poli;WB Langdon

  • GECCO 2002: Proceedings of the genetic and evolutionary computation conference

    W.B. Langdon;E. Cant{ 'u}-Paz;K. Mathias;R. Roy

Frequent Co-Authors

William B. Langdon
William B. Langdon University College London
Leonardo Vanneschi
Leonardo Vanneschi Universidade Nova de Lisboa
Terence C. Fogarty
Terence C. Fogarty London South Bank University
David Corne
David Corne Heriot-Watt University
Mauro Birattari
Mauro Birattari Université Libre de Bruxelles
Edmund K. Burke
Edmund K. Burke Bangor University
Wolfgang Banzhaf
Wolfgang Banzhaf Michigan State University
Marco Dorigo
Marco Dorigo Université Libre de Bruxelles
George Davey Smith
George Davey Smith University of Bristol
Alcherio Martinoli
Alcherio Martinoli École Polytechnique Fédérale de Lausanne

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