World's Best Scientists 2026 revealed!
Wray Buntine

Wray Buntine

D-Index & Metrics

Computer Science

D-Index
43
Citations
12447
World Ranking
7788
National Ranking
4

Wray Buntine 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 Wray Buntine 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: 224 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Wray Buntine 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 Wray Buntine 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Wray Buntine is affiliated with VinUniversity in Vietnam and has an extensive publication record in the field of Computer Science, particularly focused on Artificial Intelligence. Their body of work includes 136 publications in Computer Science with a significant concentration of 116 papers related specifically to Artificial Intelligence.

Their research spans various subfields and topics, including:

  • Artificial Intelligence
  • General Social Sciences
  • Molecular Biology
  • Information Systems
  • Statistical and Nonlinear Physics

The main topics explored in their work comprise:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Computational and Text Analysis Methods
  • Advanced Text Analysis Techniques
  • Advanced Graph Neural Networks
  • Machine Learning in Healthcare
  • Machine Learning and Data Classification

Buntine has contributed frequently to venues such as arXiv (Cornell University) with 39 publications, as well as having articles published in the Proceedings of the AAAI Conference on Artificial Intelligence (3 publications), World Wide Web (2 publications), IEEE Computational Intelligence Magazine, and the Journal of Medical Internet Research.

Some of the recent papers authored or coauthored by Wray Buntine include:

  • Hands-On Bayesian Neural Networks-A Tutorial for Deep Learning Users, 2022, IEEE Computational Intelligence Magazine
  • Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data, 2020, Journal of Medical Internet Research
  • A systematic review of the use of topic models for short text social media analysis, 2023, Artificial Intelligence Review
  • Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • Bayesian network classifiers using ensembles and smoothing, 2020, Knowledge and Information Systems

Frequent collaborators include:

  • Wei Tan
  • Lan Du
  • Ngoc Dang Nguyen
  • Weiqing Wang

Best Publications

  • Theory refinement on Bayesian networks

    Wray Buntine

  • Operations for learning with graphical models

    Wray L. Buntine

  • Machine invention of first order predicates by inverting resolution

    Stephen Muggleton;Wray L. Buntine

  • A guide to the literature on learning probabilistic networks from data

    W. Buntine

  • Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

    Laurent Valentin Jospin;Wray L. Buntine;Farid Boussaïd;Hamid Laga

  • Learning classification trees

    Wray Buntine

  • Improving LDA topic models for microblogs via tweet pooling and automatic labeling

    Rishabh Mehrotra;Scott Sanner;Wray Buntine;Lexing Xie

  • Bayesian Back-Propagation.

    Wray L. Buntine;Andreas S. Weigend

  • A Further Comparison of Splitting Rules for Decision-Tree Induction

    Wray Buntine;Tim Niblett

  • Generalized subsumption and its applications to induction and redundancy

    Wray Buntine;Wray Buntine

  • Unsupervised Object Discovery: A Comparison

    Tinne Tuytelaars;Christoph H. Lampert;Matthew B. Blaschko;Wray Buntine

  • Personalized electronic-mail delivery

    Jonathan Oliver;Rohan Baxter;Wray Buntine;Steven Waterhouse

  • Variational Extensions to EM and Multinomial PCA

    Wray L. Buntine

  • Improving Topic Coherence with Regularized Topic Models

    David Newman;Edwin Bonilla;Wray Buntine

  • Message recommendation using word isolation and clustering

    Jonathan James Oliver;Wray Lindsay Buntine;George Roumeliotis

  • Computing second derivatives in feed-forward networks: a review

    W.L. Buntine;A.S. Weigend

  • Applying discrete PCA in data analysis

    Wray Buntine;Aleks Jakulin

  • A further comparison of splitting rules for decision-tree induction

    Unknown

  • Discrete component analysis

    Wray Buntine;Aleks Jakulin

  • Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data.

    Caitlin Doogan;Caitlin Doogan;Wray Buntine;Henry Linger;Samantha Brunt

  • Topic Modelling Meets Deep Neural Networks: A Survey

    He Zhao;Dinh Q. Phung;Viet Huynh;Yuan Jin

  • Generalised subsumption and its applications to induction and redundancy

    Wray L. Buntine

Frequent Co-Authors

Gholamreza Haffari
Gholamreza Haffari Monash University
Mingyuan Zhou
Mingyuan Zhou The University of Texas at Austin
Marko Grobelnik
Marko Grobelnik Jožef Stefan Institute
Dinh Phung
Dinh Phung Monash University
Geoffrey I. Webb
Geoffrey I. Webb Monash University
Dunja Mladenic
Dunja Mladenic Jožef Stefan Institute
John Shawe-Taylor
John Shawe-Taylor University College London
Andreas Hotho
Andreas Hotho University of Würzburg
Gretchen Benedix
Gretchen Benedix Curtin University

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