World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
7328
World Ranking
11963
National Ranking
365

Moe Thandar Wynn 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 Moe Thandar Wynn 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: 164 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Moe Thandar Wynn 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 Moe Thandar Wynn 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Moe Thandar Wynn is affiliated with Queensland University of Technology in Australia. Their research spans several interconnected fields, focusing primarily on business and management, computer science, and decision sciences. This diverse academic background supports a multidisciplinary approach, particularly in areas related to information systems and process mining.

The scientist has contributed to multiple publications and participates actively in various research venues. Key journals and conferences where their work appears include:

  • Business & Information Systems Engineering
  • Information Systems
  • Artificial Intelligence in Medicine
  • IEEE Access
  • Journal of Biomedical Informatics

Moe Thandar Wynn's work is often interconnected with several frequent coauthors, indicating ongoing collaborations. Their main collaborators include:

  • Sander J. J. Leemans
  • Arthur H. M. ter Hofstede
  • Robert Andrews
  • Maximilian Röglinger
  • Kanika Goel

The scientist's research topics focus on several core areas such as business process modeling and analysis, data quality and management, and big data and business intelligence. Their main research themes cover:

  • Business Process Modeling and Analysis
  • Data Quality and Management
  • Big Data and Business Intelligence
  • Service-Oriented Architecture and Web Services
  • Semantic Web and Ontologies
  • Robotic Process Automation Applications
  • Manufacturing Process and Optimization

Within their subfields of study, the emphasis is on management information systems, management science and operations research, and information systems, alongside artificial intelligence and industrial and manufacturing engineering:

  • Management Information Systems
  • Management Science and Operations Research
  • Information Systems
  • Artificial Intelligence
  • Industrial and Manufacturing Engineering

Moe Thandar Wynn has authored and contributed to several recent papers, highlighting specific healthcare and process mining challenges. These include:

  • "Process mining for healthcare: Characteristics and challenges," 2022, Journal of Biomedical Informatics
  • "Sepsis-associated acute kidney injury in the intensive care unit: incidence, patient characteristics, timing, trajectory, treatment, and associated outcomes. A multicenter, observational study," 2023, Intensive Care Medicine
  • "Privacy-Preserving Process Mining in Healthcare," 2020, International Journal of Environmental Research and Public Health
  • "Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study," 2021, Business & Information Systems Engineering
  • "Digital Health Data Quality Issues: Systematic Review," 2023, Journal of Medical Internet Research

In addition, Wynn has contributed to book publications including a title released by Springer Science+Business Media:

  • Business Process Management Forum, 2021

Best Publications

  • Process Mining Manifesto

    Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri

  • Soundness of workflow nets: classification, decidability, and analysis

    W. M. P. van der Aalst;K. M. van Hee;A. H. M. ter Hofstede;N. Sidorova

  • Robotic Process Automation: Contemporary themes and challenges

    Rehan Syed;Suriadi Suriadi;Michael Adams;Wasana Bandara

  • Process mining for healthcare: Characteristics and challenges

    Unknown

  • Event log imperfection patterns for process mining

    S. Suriadi;R. Andrews;A.H.M. ter Hofstede;M.T. Wynn

  • Workflow simulation for operational decision support

    A. Rozinat;M. T. Wynn;W. M. P. van der Aalst;A. H. M. ter Hofstede

  • Business process verification – finally a reality!

    MT Wynn;Hmw Eric Verbeek;van der Wmp Wil Aalst;ter Ahm Arthur Hofstede

  • Process Mining for Clinical Processes: A Comparative Analysis of Four Australian Hospitals

    Andrew Partington;Moe Wynn;Suriadi Suriadi;Chun Ouyang

  • Are we done with business process compliance: state of the art and challenges ahead

    Mustafa Hashmi;Guido Governatori;Ho-Pun Lam;Moe Thandar Wynn

  • Achieving a general, formal and decidable approach to the OR-Join in workflow using reset nets

    Moe Thandar Wynn;David Edmond;W. M. P. van der Aalst;A. H. M. ter Hofstede

  • Current Research in Risk-Aware Business Process Management – Overview, Comparison, and Gap Analysis

    Suriadi Suriadi;Burkhard Weiss;Axel Winkelmann;Arthur ter Hofstede

  • Directly Follows-Based Process Mining: Exploration & a Case Study

    Sander J.J. Leemans;Erik Poppe;Moe T. Wynn

  • Understanding process behaviours in a large insurance company in Australia: a case study

    Suriadi Suriadi;Moe T. Wynn;Chun Ouyang;Arthur H. M. ter Hofstede

  • Business process simulation for operational decision support

    Moe Thandar Wynn;Marlon Dumas;Colin J. Fidge;Arthur H. M. Ter Hofstede

  • Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study

    Niels Martin;Niels Martin;Dominik Andreas Fischer;Georgi Dimov Kerpedzhiev;Kanika Goel

  • Workflow Simulation for Operational Decision Support Using Design, Historic and State Information

    Anne Rozinat;Moe T. Wynn;Wil M. van der Aalst;Arthur H.M. ter Hofstede

  • Privacy-preserving process mining in healthcare

    Anastasiia Pika;Moe T. Wynn;Stephanus Budiono;Arthur H.M. ter Hofstede

  • Normative requirements for regulatory compliance: An abstract formal framework

    Mustafa Hashmi;Guido Governatori;Moe Thandar Wynn

  • Predicting deadline transgressions using event logs

    Anastasiia Pika;Wil M. P. van der Aalst;Wil M. P. van der Aalst;Colin J. Fidge;Arthur H. M. ter Hofstede;Arthur H. M. ter Hofstede

  • Semantics of standard process models with OR-joins

    Marlon Dumas;Alexander Grosskopf;Thomas Hettel;Moe Wynn

  • Measuring Patient Flow Variations: A Cross-Organisational Process Mining Approach

    Suriadi Suriadi;Ronny Mans;Moe Thandar Wynn;Andrew Partington

  • Workflow simulation for operational decision support using YAWL and ProM

    A Anne Rozinat;MT Wynn;van der Wmp Wil Aalst;ter Ahm Arthur Hofstede

Frequent Co-Authors

Arthur H. M. ter Hofstede
Arthur H. M. ter Hofstede Queensland University of Technology
Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University
Michael Adams
Michael Adams University of Birmingham
Guido Governatori
Guido Governatori Central Queensland University
Marlon Dumas
Marlon Dumas University of Tartu
H. M. W. Verbeek
H. M. W. Verbeek Eindhoven University of Technology
Michael Rosemann
Michael Rosemann Queensland University of Technology
Marcello La Rosa
Marcello La Rosa University of Melbourne
Minseok Song
Minseok Song Pohang University of Science and Technology
Boudewijn F. van Dongen
Boudewijn F. van Dongen Eindhoven University of Technology

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