World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7582
World Ranking
8805
National Ranking
440

Martin Leucker 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 Martin Leucker 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: 208 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Martin Leucker 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 Martin Leucker 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Martin Leucker is affiliated with the University of Lübeck in Germany. Their research spans multiple areas within computer science and engineering, with a particular focus on formal methods and software verification.

Their research output includes recent publications such as:

  • Runtime verification of real-time event streams under non-synchronized arrival, 2020, Software Quality Journal
  • Property-Directed Verification of Recurrent Neural Networks, 2020, arXiv (Cornell University)
  • Analysis of recurrent neural networks via property-directed verification of surrogate models, 2022, International Journal on Software Tools for Technology Transfer
  • Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions, 2022, IEEE Access
  • Composable digital twins on Digital Twin as a Service platform, 2024, SIMULATION

Frequent co-authors collaborating with Martin Leucker include:

  • Hannes Kallwies
  • Benedikt Bollig
  • Daniel Neider
  • Igor Khmelnitsky
  • Benoît Barbot

The scientist has published multiple works in the following venues:

  • arXiv (Cornell University)
  • International Journal on Software Tools for Technology Transfer
  • IEEE Access
  • SIMULATION
  • Future Internet

Books published by Martin Leucker through Springer Science+Business Media include:

  • Formal Methods in Outer Space, 2021
  • Formal Methods, 2023

Main fields of study for Martin Leucker's research are:

  • Computer Science
  • Engineering

Within these fields, they focus on subfields including:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software
  • Industrial and Manufacturing Engineering
  • Hardware and Architecture

Key topics covered in their research are:

  • Formal Methods in Verification
  • Machine Learning and Algorithms
  • Software Testing and Debugging Techniques
  • Adversarial Robustness in Machine Learning
  • Logic, programming, and type systems
  • Logic, Reasoning, and Knowledge
  • Model-Driven Software Engineering Techniques

Best Publications

  • A Brief Account of Runtime Verification

    Martin Leucker;Martin Leucker;Christian Schallhart;Christian Schallhart

  • Runtime Verification for LTL and TLTL

    Andreas Bauer;Martin Leucker;Christian Schallhart

  • Model-Based Testing of Reactive Systems, Advanced Lectures

    Manfred Broy;Bengt Jonsson;Joost-Pieter Katoen;Martin Leucker

  • Comparing LTL Semantics for Runtime Verification

    Andreas Bauer;Martin Leucker;Christian Schallhart

  • Efficient energy-optimal routing for electric vehicles

    Martin Sachenbacher;Martin Leucker;Andreas Artmeier;Julian Haselmayr

  • Monitoring of real-time properties

    Andreas Bauer;Martin Leucker;Christian Schallhart

  • The shortest path problem revisited: optimal routing for electric vehicles

    Andreas Artmeier;Julian Haselmayr;Martin Leucker;Martin Sachenbacher

  • Modeling and Model Checking Software Product Lines

    Alexander Gruler;Martin Leucker;Kathrin Scheidemann

  • The good, the bad, and the ugly, but how ugly is ugly?

    Andreas Bauer;Martin Leucker;Christian Schallhart

  • Model-Based Testing of Reactive Systems: Advanced Lectures (Lecture Notes in Computer Science)

    Manfred Broy;Bengt Jonsson;Joost-Pieter Katoen;Martin Leucker

  • Three-valued abstraction for probabilistic systems☆

    Joost-Pieter Katoen;Daniel Klink;Martin Leucker;Verena Wolf

  • Angluin-style learning of NFA

    Benedikt Bollig;Peter Habermehl;Carsten Kern;Martin Leucker

  • Don’t know in probabilistic systems

    Harald Fecher;Martin Leucker;Verena Wolf

  • On the correspondence between conformance testing and regular inference

    Therese Berg;Olga Grinchtein;Bengt Jonsson;Martin Leucker

  • libalf: the automata learning framework

    Benedikt Bollig;Joost-Pieter Katoen;Carsten Kern;Martin Leucker

  • Three-valued abstraction for continuous-time Markov chains

    Joost Pieter Katoen;Daniel Klink;Martin Leucker;Verena Wolf

  • Controller Synthesis for Probabilistic Systems

    Christel Baier;Marcus Größer;Martin Leucker;Benedikt Bollig

  • Learning of event-recording automata

    Olga Grinchtein;Bengt Jonsson;Martin Leucker

  • Local Parallel Model Checking for the Alternation-Free µ-Calculus

    Benedikt Bollig;Martin Leucker;Michael Weber

  • Formal Methods: Applications and Technology

    Luboš Brim;Boudewijn Haverkort;Martin Leucker;Jaco van de Pol

  • Model-Based Testing of Reactive Systems, Advanced Lectures [The volume is the outcome of a research seminar that was held in Schloss Dagstuhl in January 2004]

    Manfred Broy;Bengt Jonsson;Joost-Pieter Katoen;Martin Leucker

  • Monitoring of Realtime Properties

    Andreas Bauer;Martin Leucker;Christian Schallhart

Frequent Co-Authors

Joost-Pieter Katoen
Joost-Pieter Katoen RWTH Aachen University
Bengt Jonsson
Bengt Jonsson Uppsala University
Alexander Pretschner
Alexander Pretschner Technical University of Munich
Manfred Broy
Manfred Broy Technical University of Munich
Orna Grumberg
Orna Grumberg Technion – Israel Institute of Technology
Boudewijn R. Haverkort
Boudewijn R. Haverkort Tilburg University
Klaus Havelund
Klaus Havelund Jet Propulsion Lab
Jaco van de Pol
Jaco van de Pol Aarhus University
Carroll Morgan
Carroll Morgan University of New South Wales

External Links

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