World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
16166
World Ranking
3778
National Ranking
226

Jeff Z. Pan 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 Jeff Z. Pan 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: 373 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Jeff Z. Pan 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 Jeff Z. Pan 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Jeff Z. Pan is affiliated with the University of Edinburgh in the United Kingdom and specializes in the field of Computer Science. Their research focuses primarily on Artificial Intelligence, with significant contributions to related subfields including Computer Vision and Pattern Recognition, Management Science and Operations Research, Communication, and Information Systems.

Among the main topics Jeff Z. Pan addresses in their work are:

  • Topic Modeling
  • Advanced Graph Neural Networks
  • Multimodal Machine Learning Applications
  • Semantic Web and Ontologies
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Data Quality and Management

Jeff Z. Pan has authored numerous papers, including recent publications such as:

  • "Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Large Language Models and Knowledge Graphs: Opportunities and Challenges" (2023), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning" (2023), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Zero-Shot and Few-Shot Learning With Knowledge Graphs: A Comprehensive Survey" (2023), published in Proceedings of the IEEE
  • "An empirical study of pre-trained language models in simple knowledge graph question answering" (2023), published in World Wide Web

Frequent collaborators in their research include Jiaoyan Chen, Huajun Chen, Yuxia Geng, Zhuo Chen, and Ru Li, with numerous coauthored publications evidencing ongoing scholarly partnerships.

Jeff Z. Pan's work is often published in venues that emphasize open scientific dissemination and high-impact conferences, including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of Web Semantics

Best Publications

  • The Semantic Web

    Unknown

  • The Semantic Web - Iswc 2010

    Peter F. Patel-Schneider;Yue Pan;Pascal Hitzler;Peter Mika

  • The Semantic Web – ISWC 2010: 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I

    Unknown

  • Fuzzy OWL: Uncertainty and the Semantic Web.

    Giorgos Stoilos;Giorgos B. Stamou;Vassilis Tzouvaras;Jeff Z. Pan

  • Exploiting Linked Data and Knowledge Graphs in Large Organisations

    Jeff Z. Pan;Guido Vetere;Jose Manuel Gomez-Perez;Honghan Wu

  • An Argument-Based Approach to Using Multiple Ontologies

    Elizabeth Black;Anthony Hunter;Jeff Z. Pan

  • Reasoning with very expressive fuzzy description logics

    Giorgos Stoilos;Giorgos Stamou;Jeff Z. Pan;Vassilis Tzouvaras

  • Resource Description Framework

    Jeff Z. Pan

  • Inconsistencies, negations and changes in ontologies

    Giorgos Flouris;Zhisheng Huang;Jeff Z. Pan;Dimitris Plexousakis

  • Content Based Fake News Detection Using Knowledge Graphs

    Jeff Z. Pan;Siyana Pavlova;Chenxi Li;Chenxi Li;Ningxi Li;Ningxi Li

  • Verifying feature models using OWL

    Hai H. Wang;Yuan Fang Li;Jing Sun;Hongyu Zhang

  • The fuzzy description logic f-SHIN

    Giorgos Stoilos;Giorgos Stamou;Vassilis Tzouvaras;Jeff Z. Pan

  • Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network

    Shumin Deng;Ningyu Zhang;Wen Zhang;Jiaoyan Chen

  • TrOWL: tractable OWL 2 reasoning infrastructure

    Edward Thomas;Jeff Z. Pan;Yuan Ren

  • Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis

    Hai Wan;Yufei Yang;Jianfeng Du;Yanan Liu

  • Towards Competency Question-Driven Ontology Authoring

    Yuan Ren;Artemis Parvizi;Chris Mellish;Jeff Z. Pan

  • The Semanic Web: Research and Applications

    Grigoris Antoniou;Marko Grobelnik;Elena Simperl;Bijan Parsia

  • Querying the semantic web with preferences

    Wolf Siberski;Jeff Z. Pan;Uwe Thaden

  • A semantic web approach to feature modeling and verification

    Hai Wang;Yuan Fang Li;Jing Sun;Hongyu Zhang

  • Finding maximally satisfiable terminologies for the description logic ALC

    Thomas Meyer;Kevin Lee;Richard Booth;Jeff Z. Pan

  • Metamodeling architecture of web ontology languages

    Jeff Z. Pan;Ian Horrocks

  • Approximating OWL-DL ontologies

    Jeff Z. Pan;Edward Thomas

Frequent Co-Authors

Ian Horrocks
Ian Horrocks University of Oxford
Guilin Qi
Guilin Qi Southeast University
Grigoris Antoniou
Grigoris Antoniou University of Huddersfield
Chris Mellish
Chris Mellish University of Aberdeen
Dimitris Plexousakis
Dimitris Plexousakis University of Crete
Steffen Staab
Steffen Staab University of Stuttgart
Derek Sleeman
Derek Sleeman University of Aberdeen
Dawei Song
Dawei Song The Open University
Yuzhong Qu
Yuzhong Qu Nanjing University
John D. Nelson
John D. Nelson University of Sydney

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