World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7226
World Ranking
10129
National Ranking
630

Richard C. Wilson 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 Richard C. Wilson 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: 268 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Richard C. Wilson 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 Richard C. Wilson 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: 38 D-Index — 30th percentile

30% 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

  • 2010 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to structural pattern recognition

Overview

Richard C. Wilson is affiliated with the University of York in the United Kingdom. Their research primarily falls within the field of Computer Science, with specific contributions across several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Health, Toxicology and Mutagenesis, and Experimental and Cognitive Psychology.

The scientist's work spans various topics, notably:

  • Complex Network Analysis Techniques
  • Mental Health Research Topics
  • Opinion Dynamics and Social Influence
  • Image Retrieval and Classification Techniques
  • Face and Expression Recognition
  • Spectroscopy and Chemometric Analyses
  • Remote-Sensing Image Classification

Publications are distributed across multiple venues, reflecting a diverse research portfolio. Frequent publication venues include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Climate Services
  • IEEE Transactions on Neural Networks and Learning Systems
  • Pattern Recognition
  • Journal of Complex Networks

Notable recent papers authored or co-authored by Richard C. Wilson are:

  • Reliable Contrastive Learning for Semi-Supervised Change Detection in Remote Sensing Images, 2022, IEEE Transactions on Geoscience and Remote Sensing
  • An R-Convolution Graph Kernel Based on Fast Discrete-Time Quantum Walk, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • The heat and health in cities (H2C) project to support the prevention of extreme heat in cities, 2024, Climate Services
  • Network Edge Entropy Decomposition with Spin Statistics, 2021, Pattern Recognition
  • Network Entropy Using Edge-Based Information Functionals, 2020, Journal of Complex Networks

Collaboration is a significant aspect of their work. Frequent co-authors include:

  • Edwin R. Hancock
  • Oguzhan Yigit
  • Jia-Xin Wang
  • Teng Li
  • Si-Bao Chen

Richard C. Wilson has been recognized with the award of Fellow of the International Association for Pattern Recognition (IAPR) in 2010, acknowledging contributions to structural pattern recognition.

Best Publications

  • Simple models for reading neuronal population codes

    H S Seung;H Sompolinsky

  • Structural, syntactic, and statistical pattern recognition

    Edwin R. Hancock;Richard C. Wilson;Terry Windeatt;Ilkay Ulusoy

  • Structural matching by discrete relaxation

    R.C. Wilson;E.R. Hancock

  • Spectral embedding of graphs

    Bin Luo;Bin Luo;Richard C. Wilson;Edwin R. Hancock

  • Pattern vectors from algebraic graph theory

    R.C. Wilson;E.R. Hancock;Bin Luo

  • A study of graph spectra for comparing graphs and trees

    Richard C. Wilson;Ping Zhu

  • Inexact graph matching using genetic search

    Andrew D.J. Cross;Richard C. Wilson;Edwin R. Hancock

  • On Valid Optimal Assignment Kernels and Applications to Graph Classification

    Nils M. Kriege;Pierre-Louis Giscard;Richard C. Wilson

  • Graph characteristics from the heat kernel trace

    Bai Xiao;Edwin R. Hancock;Richard C. Wilson

  • Graph characterizations from von Neumann entropy

    Lin Han;Francisco Escolano;Edwin R. Hancock;Richard C. Wilson

  • Local feature point extraction for quantum images

    Yi Zhang;Kai Lu;Kai Xu;Yinghui Gao

  • Spherical and Hyperbolic Embeddings of Data

    Richard Charles Wilson;Edwin R Hancock;Elzbieta Pekalska;Robert P. W. Duin

  • Graph Characterization via Ihara Coefficients

    Peng Ren;R C Wilson;E R Hancock

  • A Matrix Representation of Graphs and its Spectrum as a Graph Invariant

    David Emms;Edwin R. Hancock;Simone Severini;Richard C. Wilson

  • Non-rigid 3D shape retrieval

    Z. Lian;J. Zhang;S. Choi;H. ElNaghy

  • A Bayesian compatibility model for graph matching

    Richard C. Wilson;Edwin R. Hancock

  • Deterministic search for relational graph matching

    Mark L. Williams;Richard C. Wilson;Edwin R. Hancock

  • Multiple graph matching with Bayesian inference

    Mark L. Williams;Richard C. Wilson;Edwin R. Hancock

  • Coined quantum walks lift the cospectrality of graphs and trees

    David Emms;Simone Severini;Richard C. Wilson;Edwin R. Hancock

  • Geometric characterization and clustering of graphs using heat kernel embeddings

    Bai Xiao;Edwin R. Hancock;Richard C. Wilson

  • Bayesian graph edit distance

    R. Myers;R.C. Wilson;E.R. Hancock

  • Structural, syntactic, and statistical pattern recognition : joint IAPR international workshop, SSPR & SPR 2010 : Cesme, Izmir, Turkey, August 18 - 20, 2010 : proceedings

    Edwin R Hancock;Richard C. Wilson;Terry Windeatt;Ilkay Ulusoy

Frequent Co-Authors

Edwin R. Hancock
Edwin R. Hancock University of York
Bin Luo
Bin Luo Anhui University
Simone Severini
Simone Severini University College London
Suresh Manandhar
Suresh Manandhar University of York
Andrea Torsello
Andrea Torsello Ca Foscari University of Venice
Luciano da Fontoura Costa
Luciano da Fontoura Costa Universidade de São Paulo
William A. P. Smith
William A. P. Smith University of York
Vito Latora
Vito Latora Queen Mary University of London
Francisco Aparecido Rodrigues
Francisco Aparecido Rodrigues Universidade de São Paulo
David White
David White University of New South Wales

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