World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6341
World Ranking
10685
National Ranking
322

Marta Indulska 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 Marta Indulska 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: 153 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Marta Indulska 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 Marta Indulska 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Marta Indulska is affiliated with the University of Queensland in Australia and has contributed extensively to research in the fields of Business, Management and Accounting as well as Computer Science. Their work spans multiple subfields, including Management Information Systems, Strategy and Management, Management Science and Operations Research, Information Systems, and Computer Science Applications.

The main research topics addressed by Marta Indulska include:

  • Big Data and Business Intelligence
  • Data Quality and Management
  • Business Process Modeling and Analysis
  • Private Equity and Venture Capital
  • Innovation and Knowledge Management
  • Entrepreneurship Studies and Influences
  • Blockchain Technology Applications and Security

Their recent publications cover diverse topics and venues:

  • "The biggest business process management problems to solve before we die" (2023), Computers in Industry
  • "Algorithmic decision-making and system destructiveness: A case of automatic debt recovery" (2021), European Journal of Information Systems
  • "Exporting to escape and learn: Vietnamese manufacturers in global value chains" (2021), Journal of World Business
  • "How do institutional innovation systems affect open innovation?" (2020), Journal of Small Business Management
  • "Intelligent Learning Analytics Dashboards: Automated Drill-Down Recommendations to Support Teacher Data Exploration" (2021), Journal of Learning Analytics

Marta Indulska frequently collaborates with several co-authors, including:

  • Rui Torres de Oliveira
  • Shazia Sadiq
  • Martie-Louise Verreynne
  • Ida Someh
  • Tianwa Chen

The scholar has contributed to prominent publication venues across their career, with multiple papers appearing in:

  • Academy of Management Proceedings
  • SSRN Electronic Journal
  • Journal of Information Technology Teaching Cases
  • Information Systems
  • Industrial Marketing Management

Marta Indulska has also published books with established publishers. One of the book titles includes Advanced Information Systems Engineering, published by Springer Science+Business Media in 2023.

Best Publications

  • How do practitioners use conceptual modeling in practice

    Islay Davies;Peter Green;Michael Rosemann;Marta Indulska

  • Business process modeling - a comparative analysis

    Jan C. Recker;Michael Rosemann;Marta Indulska;Peter Green

  • Business Process Modeling: Current Issues and Future Challenges

    Marta Indulska;Jan Recker;Michael Rosemann;Peter Green

  • Modeling languages for business processes and business rules: A representational analysis

    Michael zur Muehlen;Marta Indulska

  • How Good is BPMN Really? Insights from Theory and Practice

    Jan C. Recker;Marta Indulska;Michael Rosemann;Peter Green

  • Major issues in business process management: An expert perspective

    Wasana Bandara;Marta Indulska;Sandy Chong;Shazia Sadiq

  • Business Process Modeling: Perceived Benefits

    Marta Indulska;Peter Green;Jan Recker;Michael Rosemann

  • Quantitative approaches to content analysis: identifying conceptual drift across publication outlets

    Marta Indulska;Dirk S. Hovorka;Jan C. Recker

  • Do ontological de ficiencies in modeling grammars matter

    Jan Recker;Michael Rosemann;Peter Green;Marta Indulska

  • Factors influencing effective use of big data: A research framework

    Feliks P. Sejahtera Surbakti;Feliks P. Sejahtera Surbakti;Wei Wang;Marta Indulska;Shazia W. Sadiq

  • A study of the evolution of the representational capabilities of process modeling grammars

    Michael Rosemann;Jan Recker;Marta Indulska;Peter Green

  • The biggest business process management problems to solve before we die

    Unknown

  • Do process modelling techniques get better? A comparative ontological analysis of BPMN

    Jan Recker;Marta Indulska;Michael Rosemann;Peter Green

  • Open data

    Shazia Sadiq;Marta Indulska

  • Assessing representation theory with a framework for pursuing success and failure

    Andrew Burton-Jones;Jan Recker;Marta Indulska;Peter Green

  • The ontological deficiencies of process modeling in practice

    Jan Recker;Marta Indulska;Michael Rosemann;Peter F. Green

  • Emerging challenges in information systems research for regulatory compliance management

    Norris Syed Abdullah;Shazia Sadiq;Marta Indulska

  • Improving the quality of process reference models: A quality function deployment-based approach

    Sabine Matook;Marta Indulska

  • Major Issues in Business Process Management: An Expert Perspective

    Shazia Wasim Sadiq;Marta Indulska;Wasana Bandara;Sandy Chong

  • Ontological evaluation of enterprise systems interoperability using ebXML

    P.F. Green;M. Rosemann;M. Indulska

  • Candidate interoperability standards: An ontological overlap analysis

    Peter Green;Michael Rosemann;Marta Indulska;Chris Manning

Frequent Co-Authors

Shazia Sadiq
Shazia Sadiq University of Queensland
Peter H.R. Green
Peter H.R. Green Columbia University
Michael Rosemann
Michael Rosemann Queensland University of Technology
Jan C. Recker
Jan C. Recker Universität Hamburg
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Maria E. Orlowska
Maria E. Orlowska Polish-Japanese Institute of Information Technology
Shirley Gregor
Shirley Gregor Australian National University
Ron Weber
Ron Weber Monash University
Barbara Weber
Barbara Weber University of St. Gallen
Yanchun Zhang
Yanchun Zhang Victoria University

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