World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
11409
World Ranking
4578
National Ranking
203

Stefanie Rinderle-Ma 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 Stefanie Rinderle-Ma 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: 372 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.

Stefanie Rinderle-Ma 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 Stefanie Rinderle-Ma 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Stefanie Rinderle-Ma is affiliated with the Technical University of Munich in Germany. Their research primarily spans the fields of Computer Science, Business, Management and Accounting, and Engineering, with a significant focus on interdisciplinary approaches.

Their subfields of study include Management Information Systems, Information Systems, Industrial and Manufacturing Engineering, Artificial Intelligence, and Management Science and Operations Research.

Research topics covered by Stefanie Rinderle-Ma emphasize:

  • Business Process Modeling and Analysis
  • Service-Oriented Architecture and Web Services
  • Semantic Web and Ontologies
  • Big Data and Business Intelligence
  • Flexible and Reconfigurable Manufacturing Systems
  • Data Quality and Management
  • Software Engineering Research

Frequent co-authors collaborating with Stefanie Rinderle-Ma include:

  • Juergen Mangler
  • Janik-Vasily Benzin
  • Karolin Winter
  • Timotheus Kampik
  • Nataliia Klievtsova

Publication venues where Stefanie Rinderle-Ma has contributed notably consist of:

  • arXiv (Cornell University)
  • Information Systems
  • Computers in Industry
  • Procedia Computer Science
  • Business & Information Systems Engineering

Selected recent papers by Stefanie Rinderle-Ma include:

  • "Process mining for healthcare: Characteristics and challenges" (2022), Journal of Biomedical Informatics
  • "The biggest business process management problems to solve before we die" (2023), Computers in Industry
  • "Exogenous Shocks and Business Process Management" (2022), Business & Information Systems Engineering
  • "Extraction of dimension requirements from engineering drawings for supporting quality control in production processes" (2021), Computers in Industry
  • "Large Process Models: A Vision for Business Process Management in the Age of Generative AI" (2024), KI - Künstliche Intelligenz

Stefanie Rinderle-Ma has also contributed to book publications through Springer Science+Business Media and CEUR-WS.org eBooks. Notable works include:

  • Business Process Management (2022)
  • Business Process Management Forum (2022)
  • Proceedings of the International Workshop on BPM Problems to Solve Before We Die (PROBLEMS 2021) co-located with the 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, September 6-10, 2021 (2021)

Best Publications

  • Blockchains for Business Process Management - Challenges and Opportunities

    Jan Mendling;Ingo Weber;Wil Van Der Aalst;Jan Vom Brocke

  • Change patterns and change support features - Enhancing flexibility in process-aware information systems

    Barbara Weber;Manfred Reichert;Stefanie Rinderle-Ma

  • Correctness criteria for dynamic changes in workflow systems: a survey

    Stefanie Rinderle;Manfred Reichert;Peter Dadam

  • Process mining for healthcare: Characteristics and challenges

    Unknown

  • Change patterns and change support features in process-aware information systems

    Barbara Weber;Stefanie Rinderle;Manfred Reichert

  • Flexible Support of Team Processes by Adaptive Workflow Systems

    Stefanie Rinderle;Manfred Reichert;Peter Dadam

  • The Internet of Things Meets Business Process Management: A Manifesto

    Christian Janiesch;Agnes Koschmider;Massimo Mecella;Barbara Weber

  • Adaptive process management with ADEPT2

    M. Reichert;S. Rinderle;U. Kreher;P. Dadam

  • Compliance monitoring in business processes

    Linh Thao Ly;Fabrizio Maria Maggi;Marco Montali;Stefanie Rinderle-Ma

  • Integration and verification of semantic constraints in adaptive process management systems

    Linh Thao Ly;Stefanie Rinderle;Peter Dadam

  • On enabling integrated process compliance with semantic constraints in process management systems

    Linh Thao Ly;Stefanie Rinderle-Ma;Kevin Göser;Peter Dadam

  • ADEPT Workflow Management System

    Manfred Reichert;Stefanie Rinderle;Peter Dadam

  • Using Process Mining to Learn from Process Changes in Evolutionary Systems

    Christian W. Gunther;Stefanie Rinderle-Ma;Manfred Reichert;Wil M.P. Van Der Aalst

  • Flexibility in Process-Aware Information Systems

    Manfred Reichert;Stefanie Rinderle-Ma;Peter Dadam

  • On enabling data-aware compliance checking of business process models

    David Knuplesch;Linh Thao Ly;Stefanie Rinderle-Ma;Holger Pfeifer

  • Providing Integrated Life Cycle Support in Process-Aware Information Systems

    Barbara Weber;Manfred Reichert;Stefanie Rinderle-Ma;Werner Wild

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

    Unknown

  • Monitoring business process compliance using compliance rule graphs

    Linh Thao Ly;Stefanie Rinderle-Ma;David Knuplesch;Peter Dadam

  • Integrating process learning and process evolution – a semantics based approach

    Stefanie Rinderle;Barbara Weber;Manfred Reichert;Werner Wild

  • Mining staff assignment rules from event-based data

    Linh Thao Ly;Stefanie Rinderle;Peter Dadam;Manfred Reichert

  • Change mining in adaptive process management systems

    Christian W. Günther;Stefanie Rinderle;Manfred Reichert;Wil van der Aalst

  • Blockchains for Business Process Management - Challenges and Opportunities

    Jan Mendling;Ingo Weber;Wil van der Aalst;Jan vom Brocke

  • Business Process Management

    Stefanie Rinderle-Ma;Farouk Toumani;Karsten Wolf

Frequent Co-Authors

Manfred Reichert
Manfred Reichert University of Ulm
Peter Dadam
Peter Dadam University of Ulm
Barbara Weber
Barbara Weber University of St. Gallen
Jan Mendling
Jan Mendling Humboldt-Universität zu Berlin
Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University
Mathias Weske
Mathias Weske Hasso Plattner Institute
Matthias Weidlich
Matthias Weidlich Humboldt-Universität zu Berlin
Claudio Di Ciccio
Claudio Di Ciccio Utrecht University
Akhil Kumar
Akhil Kumar Pennsylvania State University
Avigdor Gal
Avigdor Gal Technion – Israel Institute of Technology

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