World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7335
World Ranking
11079
National Ranking
4603

Mats P. E. Heimdahl 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 Mats P. E. Heimdahl 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: 170 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Mats P. E. Heimdahl 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 Mats P. E. Heimdahl 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Mats P. E. Heimdahl is affiliated with the University of Minnesota in the United States. Their research focuses primarily on computer science and engineering, with notable contributions to software and safety-related subfields. The main areas of study include software reliability and analysis, formal methods in verification, and safety systems engineering in autonomy.

The scientist's work spans multiple specialized topics such as software testing and debugging techniques, model-driven software engineering techniques, real-time systems scheduling, and aspects of law, economics, and judicial systems. These topics highlight a diverse engagement with both theoretical and applied elements of software and systems engineering.

Heimdahl has contributed to a series of research papers published across several venues. These include:

  • "AADL-Based safety analysis using formal methods applied to aircraft digital systems," 2021, Reliability Engineering & System Safety
  • "Requirements Capture and Evaluation in Nimbus: The Light-Control Case Study," 2020, University of Minnesota Digital Conservancy (University of Minnesota)
  • "From Informal System Requirements to Formal Software Specifications - An Experience Report," 2021, 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
  • "Counterexample Guided Inductive Repair of Reactive Contracts," 2021, 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)
  • "Model-Based Systems Engineering and TCAS II: Thirty Years Later," 2025, IEEE Transactions on Software Engineering

Frequent co-authors include Michael W. Whalen, Danielle Stewart, Darren Cofer, Jing Liu, and Michael R. Peterson. Collaboration with these researchers reflects Heimdahl's integration within a network focused on software and systems engineering research.

Publication venues reflect a focus on reliability, software engineering technologies, and academic digital repositories, featuring outlets such as:

  • Reliability Engineering & System Safety
  • 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
  • University of Minnesota Digital Conservancy (University of Minnesota)
  • 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)
  • IEEE Transactions on Software Engineering

Their body of work highlights engagement with formal safety analysis methods, system requirements specification, and contract-based software repair techniques, indicating a sustained interest in enhancing software reliability and verification. The interdisciplinary nature of their topics spans computational theory, software engineering, and operational research, further emphasizing their approach to complex system design and analysis.

Best Publications

  • Requirements specification for process-control systems

    N.G. Leveson;M.P.E. Heimdahl;H. Hildreth;J.D. Reese

  • Proceedings of the 30th international conference on Software engineering

    Ajitha Rajan;Michael W. Whalen;Mats P.E. Heimdahl

  • Requirements Coverage as an Adequacy Measure for Conformance Testing

    Ajitha Rajan;Michael Whalen;Matt Staats;Mats P. Heimdahl

  • Completeness and consistency in hierarchical state-based requirements

    M.P.E. Heimdahl;N.G. Leveson

  • Software requirements analysis for real-time process-control systems

    M.S. Jaffe;N.G. Leveson;M.P.E. Heimdahl;B.E. Melhart

  • Coverage based test-case generation using model checkers

    S. Rayadurgam;M.P.E. Heimdahl

  • Model-based safety analysis of simulink models using SCADE design verifier

    Anjali Joshi;Mats P. E. Heimdahl

  • Coverage metrics for requirements-based testing

    Michael W. Whalen;Ajitha Rajan;Mats P.E. Heimdahl;Steven P. Miller

  • Test-suite reduction for model based tests: effects on test quality and implications for testing

    M.P.E. Heimdahl;D. George

  • Auto-generating test sequences using model checkers: A case study

    Mats P. E. Heimdahl;Sanjai Rayadurgam;Willem Visser;George Devaraj

  • Programs, tests, and oracles: the foundations of testing revisited

    Matt Staats;Michael W. Whalen;Mats P.E. Heimdahl

  • A proposal for model-based safety analysis

    A. Joshi;S.P. Miller;M. Whalen;M.P.E. Heimdahl

  • The Risks of Coverage-Directed Test Case Generation

    Matt Staats;Michael Whalen;Mats P. E. Heimdahl

  • Specification-based prototyping for embedded systems

    Jeffrey M. Thompson;Mats P. E. Heimdahl;Steven P. Miller

  • The effect of program and model structure on mc/dc test adequacy coverage

    Ajitha Rajan;Michael W. Whalen;Mats P.E. Heimdahl

  • Designing specification languages for process control systems: lessons learned and steps to the future

    Nancy G. Leveson;Mats P. E. Heimdahl;Jon Damon Reese;Jon Damon Reese

  • Completeness and consistency analysis of state-based requirements

    Mats P. E. Heimdahl;Nancy G. Leveson

  • Proving the shalls

    Steven P. Miller;Alan C. Tribble;Mats Per Erik Heimdahl

  • Safety and Software Intensive Systems: Challenges Old and New

    M.P.E. Heimdahl

  • Reduction and slicing of hierarchical state machines

    Mats P. E. Heimdahl;Michael W. Whalen

  • Proceedings of the 2012 International Symposium on Software Testing and Analysis

    Mats Heimdahl;Zhendong Su

Frequent Co-Authors

Insup Lee
Insup Lee University of Pennsylvania
Oleg Sokolsky
Oleg Sokolsky University of Pennsylvania
Willem Visser
Willem Visser Amazon (United States)
Tim Menzies
Tim Menzies North Carolina State University
John Hatcliff
John Hatcliff Kansas State University
Gabriele Taentzer
Gabriele Taentzer Philipp University of Marburg
Eleni Stroulia
Eleni Stroulia University of Alberta
Jane Cleland-Huang
Jane Cleland-Huang University of Notre Dame
James C. Williams
James C. Williams The Ohio State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring further study or a new career in Computer Science can be made easier with online programs. For those balancing work, family, or other commitments, pursuing online affordable master's programs in technology fields is an effective way to deepen your knowledge without breaking the bank. These programs offer flexibility and can open doors to advanced positions in the tech industry.

If you're aiming for leadership roles or considering teaching at the university level, an advanced program such as a doctorate in organizational leadership can help sharpen your management and strategic skills. Educational careers are also possible with specialized degrees. Opportunities like online ed programs offer pathways to curriculum development, education administration, and higher education leadership.

For those just starting or seeking a faster entry to the workforce, some of the easiest associate degree programs provide an accessible foundation in Computer Science and IT. Whether your goal is rapid employment or a stepping stone to higher degrees, online options make education more attainable and career transitions smoother than ever.

Best Scientists Citing Mats P. E. Heimdahl

Trending Scientists

Recently Published Articles