World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
9627
World Ranking
11904
National Ranking
153

Minseok Song 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 Minseok Song 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: 88 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Minseok Song 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 Minseok Song 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

Minseok Song is affiliated with Pohang University of Science and Technology in South Korea. Their research spans multiple fields, primarily focusing on Engineering, Business, Management and Accounting, and Computer Science. Within these domains, they concentrate on subfields such as Management Information Systems, Industrial and Manufacturing Engineering, Artificial Intelligence, Management Science and Operations Research, and Information Systems.

The scientist has contributed extensively to topics including Business Process Modeling and Analysis, Data Quality and Management, Semantic Web and Ontologies, Manufacturing Process and Optimization, Big Data and Business Intelligence, Transportation and Mobility Innovations, and Clinical practice guidelines implementation.

Minseok Song's recent academic publications demonstrate engagement with interdisciplinary themes. Notable papers include:

  • Process mining for healthcare: Characteristics and challenges, 2022, Journal of Biomedical Informatics
  • Seven Paradoxes of Business Process Management in a Hyper-Connected World, 2020, Business & Information Systems Engineering
  • MEXchange: A Privacy-Preserving Blockchain-Based Framework for Health Information Exchange Using Ring Signature and Stealth Address, 2021, IEEE Access
  • A web-based decision support system (DSS) for hydrogen refueling station location and supply chain optimization, 2023, International Journal of Hydrogen Energy
  • City 5.0: Citizen involvement in the design of future cities, 2023, Electronic Markets

The scientist frequently publishes in venues such as:

  • Journal of Biomedical Informatics
  • IEEE Access
  • International Journal of Hydrogen Energy
  • Business & Information Systems Engineering
  • Electronic Markets

Collaboration is a significant aspect of their work. Frequent co-authors include:

  • Minsu Cho
  • Deoksang Lee
  • Wil M. P. van der Aalst
  • Gyunam Park
  • Jungeun Lim

Best Publications

  • Process Mining Manifesto

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

  • Business process mining: An industrial application

    W. M. P. van der Aalst;H. A. Reijers;A. J. M. M. Weijters;B. F. van Dongen

  • Discovering Social Networks from Event Logs

    Wil M. P. Van Der Aalst;Hajo A. Reijers;Minseok Song

  • Time prediction based on process mining

    W. M. P. van der Aalst;M. H. Schonenberg;M. Song

  • Application of Process Mining in Healthcare – A Case Study in a Dutch Hospital

    R. S. Mans;M. H. Schonenberg;M. Song;W. M. P. van der Aalst

  • Trace Clustering in Process Mining

    Minseok Song;CW Christian Günther;Wmp Wil van der Aalst

  • Towards comprehensive support for organizational mining

    Minseok Song;Wil M. P. van der Aalst

  • Discovering simulation models

    A. Rozinat;R. S. Mans;M. Song;W. M. P. van der Aalst

  • Mining Social Networks: Uncovering Interaction Patterns in Business Processes

    Wil M. P. van der Aalst;Minseok Song;Minseok Song

  • Process mining for healthcare: Characteristics and challenges

    Unknown

  • ProM 4.0: comprehensive support for real process analysis

    W. M. P. Van Der Aalst;B. F. Van Dongen;C. W. Güunther;R. S. Mans

  • An integration architecture for knowledge management systems and business process management systems

    Jisoo Jung;Injun Choi;Minseok Song

  • Beyond process mining: from the past to present and future

    Wil M. P. van der Aalst;Maja Pesic;Minseok Song

  • An outlook on semantic business process mining and monitoring

    A. K. Alves De Medeiros;C. Pedrinaci;W. M. P. van der Aalst;J. Domingue

  • Supporting proces mining by showing events at a glance

    Minseok Song;van der Wmp Wil Aalst

  • Discovering colored Petri nets from event logs

    A. Rozinat;R. S. Mans;M. Song;W. M. P. van der Aalst

  • A comparative study of dimensionality reduction techniques to enhance trace clustering performances

    M. Song;H. Yang;S. H. Siadat;M. Pechenizkiy

  • Quantification of purified endogenous miRNAs with high sensitivity and specificity

    Soochul Shin;Yoonseok Jung;Heesoo Uhm;Minseok Song

  • Two-stage process analysis using the process-based performance measurement framework and business process simulation

    Kwan Hee Han;Jin Gu Kang;Minseok Song

  • Social software for business process modeling

    Agnes Koschmider;Minseok Song;Hajo A Reijers

  • Seven Paradoxes of Business Process Management in a Hyper-Connected World

    Daniel Beverungen;Joos C. A. M. Buijs;Joerg Becker;Claudio Di Ciccio

  • An XML-based process definition language for integrated process management

    Injun Choi;Minseok Song;Chulsoon Park;Namkyu Park

Frequent Co-Authors

Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University
Moe Thandar Wynn
Moe Thandar Wynn Queensland University of Technology
H. M. W. Verbeek
H. M. W. Verbeek Eindhoven University of Technology
Akhil Kumar
Akhil Kumar Pennsylvania State University
Arthur H. M. ter Hofstede
Arthur H. M. ter Hofstede Queensland University of Technology
Jan Mendling
Jan Mendling Humboldt-Universität zu Berlin
Naehyuck Chang
Naehyuck Chang Korea Advanced Institute of Science and Technology
Marcello La Rosa
Marcello La Rosa University of Melbourne
Francis S. Lee
Francis S. Lee Cornell University
Keri Martinowich
Keri Martinowich Johns Hopkins University

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