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Computer Science
Australia
2023

D-Index & Metrics

Computer Science

D-Index
60
Citations
13782
World Ranking
3251
National Ranking
91

Simon Buckingham Shum 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 Simon Buckingham Shum 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: 258 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Simon Buckingham Shum 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 Simon Buckingham Shum 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: 60 D-Index — 78th percentile

78% 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

  • 2023 - Research.com Computer Science in Australia Leader Award

Overview

Simon Buckingham Shum is affiliated with the University of Technology Sydney in Australia. Their research spans multiple fields with a focus on the intersection of computer science and social sciences. Key subject areas include computer science applications, education, artificial intelligence, developmental and educational psychology, and information systems.

Their work extensively addresses topics related to online learning and analytics, innovative teaching and learning methods, e-learning and knowledge management, reflective practices in education, artificial intelligence in healthcare and education, intelligent tutoring systems, adaptive learning, and online and blended learning.

Simon Buckingham Shum has contributed to several recent papers, including:

  • Ethics of AI in Education: Towards a Community-Wide Framework, 2021, International Journal of Artificial Intelligence in Education
  • Explainable Artificial Intelligence in education, 2022, Computers and Education Artificial Intelligence
  • Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?, 2022, Computers and Education Artificial Intelligence
  • Educator perspectives on learning analytics in classroom practice, 2020, The Internet and Higher Education
  • What Do You Mean by Collaboration Analytics? A Conceptual Model, 2021, Journal of Learning Analytics

Frequent publication venues for their work include:

  • International Journal of Artificial Intelligence in Education
  • Journal of Learning Analytics
  • British Journal of Educational Technology
  • ASCILITE Publications
  • SSRN Electronic Journal

Collaborative work features multiple frequent co-authors, such as:

  • Roberto Martínez-Maldonado
  • Vanessa Echeverría
  • Antonette Shibani
  • Gloria Milena Fernandez-Nieto
  • Simon Knight

Best Publications

  • Ethics of AI in Education: Towards a Community-Wide Framework

    Wayne Holmes;Kaska Porayska-Pomsta;Ken Holstein;Emma Sutherland

  • Social learning analytics

    Simon Buckingham Shum;Rebecca Ferguson

  • Visualizing Argumentation: Software Tools for Collaborative and Educational Sense-Making

    Paul A. Kirschner;Simon J. Buckingham Shum;Chad S. Carr

  • Social learning analytics: five approaches

    Rebecca Ferguson;Simon Buckingham Shum

  • Argumentation-based design rationale

    Simon Buckingham Shum;Nick Hammond

  • Learning dispositions and transferable competencies: pedagogy, modelling and learning analytics

    Simon Buckingham Shum;Ruth Deakin Crick

  • ScholOnto: an ontology-based digital library server for research documents and discourse

    Simon Buckingham Shum;Enrico Motta;John Domingue

  • Human-Centred Learning Analytics

    Simon Buckingham Shum;Rebecca Ferguson;Roberto Martinez-Maldonado

  • Hypermedia Support for Argumentation-Based Rationale

    Simon J. Buckingham Shum;Albert M. Selvin;Maarten Sierhuis;Jeff Conklin

  • Epistemology, Assessment, Pedagogy: Where Learning Meets Analytics in the Middle Space

    Simon Knight;Simon Buckingham Shum;Karen Littleton

  • Graphical argumentation and design cognition

    Simon J. Buckingham Shum;Allan MacLean;Victoria M. E. Bellotti;Nick V. Hammond

  • Facilitated hypertext for collective sensemaking: 15 years on from gIBIS

    Jeff Conklin;Albert Selvin;Simon Buckingham Shum;Maarten Sierhuis

  • The roots of computer supported argument visualization

    Simon Buckingham Shum

  • Hypermedia support for argumentation-based rationale: 15 years on from gIBIS and QOC

    Simon Buckingham Shum;A.M. Selvin;Maarten Sierhuis;Jeffrey Conklin

  • Student retention and learning analytics: A snapshot of Australian practices and a framework for advancement

    Cassandra Colvin;Tim Rogers;Alexandra Wade;Shane Dawson

  • Discourse-centric learning analytics

    Anna De Liddo;Simon Buckingham Shum;Ivana Quinto;Michelle Bachler

  • Knowledge Cartography: Software Tools and Mapping Techniques

    Alexandra Okada;Simon J. Buckingham Shum;Tony Sherborne

  • Cohere: Towards Web 2.0 Argumentation

    Simon Buckingham Shum

  • Learning Analytics for 21st Century Competencies

    Simon Buckingham Shum;Ruth Deakin Crick

  • Analyzing the usability of a design rationale notation

    Simon Buckingham Shum

  • Learning analytics and AI: Politics, pedagogy and practices

    Simon J. Buckingham Shum;Rosemary Luckin

Frequent Co-Authors

Enrico Motta
Enrico Motta The Open University
John Domingue
John Domingue The Open University
Dragan Gasevic
Dragan Gasevic Monash University
David De Roure
David De Roure University of Oxford
Nigel Shadbolt
Nigel Shadbolt University of Oxford
Shane Dawson
Shane Dawson University of South Australia
Karen Littleton
Karen Littleton The Open University
Austin Tate
Austin Tate University of Edinburgh
Caroline Haythornthwaite
Caroline Haythornthwaite Syracuse University
Victoria Bellotti
Victoria Bellotti Palo Alto Research Center

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