World's Best Scientists 2026 revealed!
David B. Skillicorn

David B. Skillicorn

D-Index & Metrics

Computer Science

D-Index
35
Citations
5953
World Ranking
11607
National Ranking
454

David B. Skillicorn 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 David B. Skillicorn 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: 245 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

David B. Skillicorn 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 David B. Skillicorn 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

David B. Skillicorn is affiliated with Queen's University in Canada and has contributed extensively to the fields of computer science, social sciences, and physics and astronomy. Their research predominantly focuses on areas including artificial intelligence, statistical and nonlinear physics, sociology and political science, information systems, and communication.

Themes prominently featured in their work encompass complex network analysis techniques, stock market forecasting methods, advanced graph neural networks, topic modeling, auditing and governance related to earnings management, opinion dynamics and social influence, as well as internet traffic analysis and secure electronic voting.

Throughout their academic career, David B. Skillicorn has collaborated frequently with several researchers, including Mosab Alfaqeeh, Christian Leuprecht, Clark McCauley, Lukasz Lapczyk, and D. Nam.

The venues in which they have frequently published include Social Network Analysis and Mining, arXiv (Cornell University), TUGraz OPEN Library (Graz University of Technology), ACM SIGMIS Database the DATABASE for Advances in Information Systems, and SSRN Electronic Journal.

Among their recent publications are:

  • Structured Parallel Computation in Structured Documents, 2020, TUGraz OPEN Library (Graz University of Technology)
  • Community detection in social networks by spectral embedding of typed graphs, 2023, Social Network Analysis and Mining
  • Modeling signed social networks using spectral embedding, 2021, Social Network Analysis and Mining
  • Novel Information Discovery and Collaborative Filtering to Support Group Creativity, 2020, ACM SIGMIS Database the DATABASE for Advances in Information Systems
  • Detecting Stock Market Manipulation from Online Forums, 2022, SSRN Electronic Journal

In addition to articles, they have contributed to book publications, including the 2024 title Finding Communities in Social Networks Using Graph Embeddings, published by Springer Vienna.

Best Publications

  • Models and languages for parallel computation

    David B. Skillicorn;Domenico Talia

  • Questions and Answers about BSP

    David B. Skillicorn;Jonathan M. D. Hill;William F. McColl

  • Accounting Variables, Deception, and a Bag of Words: Assessing the Tools of Fraud Detection†

    Lynnette Purda;David Skillicorn

  • Architecture-independent parallel computation

    David B. Skillicorn

  • Architecture-independent parallel computation

    D.B. Skillicorn

  • Foundations of parallel programming

    David Skillicorn

  • Understanding Complex Datasets: Data Mining with Matrix Decompositions

    David B. Skillicorn

  • Structure in the Enron Email Dataset

    P. S. Keila;D. B. Skillicorn

  • Classification Using Streaming Random Forests

    H Abdulsalam;D B Skillicorn;P Martin

  • A Cost Calculus for Parallel Functional Programming

    D.B. Skillicorn;W. Cai

  • A taxonomy for computer architectures

    D.B. Skillicorn

  • Relational Autoencoder for Feature Extraction

    Qinxue Meng;Daniel Catchpoole;David Skillicorn;Paul J. Kennedy

  • Strategies for parallel data mining

    D. Skillicorn

  • The Bird-Meertens Formalism as a Parallel Model

    D. B. Skillicorn

  • Models for practical parallel computation

    David B. Skillicorn

  • Detecting Unusual and Deceptive Communication in Email

    P. S. Keila;D. B. Skillicorn

  • Proceedings of the 2004 SIAM International Conference on Data Mining

    Michael W. Berry;Umeshwar Dayal;Chandrika Kamath;David Skillicorn

  • Using the BSP cost model to optimise parallel neural network training

    R. O. Rogers;D. B. Skillicorn

  • Practical barrier synchronisation

    J.M.D. Hill;D.B. Skillicorn

  • Beyond the Castle Model of cyber-risk and cyber-security

    Christian Leuprecht;David B. Skillicorn;Victoria E. Tait

  • Streaming Random Forests

    H. Abdulsalam;D.B. Skillicorn;P. Martin

  • Lessons learned from implementing BSP

    Jonathan M.D. Hill;David B. Skillicorn

Frequent Co-Authors

James R. Cordy
James R. Cordy Queen's University
Domenico Talia
Domenico Talia University of Calabria
Yolande E. Chan
Yolande E. Chan McGill University
Vipin Kumar
Vipin Kumar University of Minnesota
Jaideep Srivastava
Jaideep Srivastava University of Minnesota
Wentong Cai
Wentong Cai Nanyang Technological University
Henri Prade
Henri Prade Paul Sabatier University
Michael W. Berry
Michael W. Berry University of Tennessee at Knoxville
Peter Gärdenfors
Peter Gärdenfors Lund University
Kathleen M. Carley
Kathleen M. Carley Carnegie Mellon University

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