World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
5759
World Ranking
9400
National Ranking
465

Lars Grunske 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 Lars Grunske 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: 145 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Lars Grunske 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 Lars Grunske 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Lars Grunske is affiliated with Humboldt-Universität zu Berlin in Germany and has a prolific research record, primarily in computer science with a strong emphasis on software-related fields. Their work spans multiple subfields including software, information systems, artificial intelligence, computational theory and mathematics, and computer networks and communications.

The main topics of their research focus on software testing and debugging techniques, software engineering research, software reliability and analysis, formal methods in verification, scientific computing and data management, software system performance and reliability, and safety systems engineering in autonomy.

Grunske has published extensively in various venues, with notable frequent publications in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Information and Software Technology
  • ACM Transactions on Software Engineering and Methodology
  • ACM SIGSOFT Software Engineering Notes

Recent papers authored or coauthored by Grunske cover diverse topics and appeared in respected journals and conferences. Some of these include:

  • "VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python," 2022, Information and Software Technology
  • "History-based Model Repair Recommendations," 2021, ACM Transactions on Software Engineering and Methodology
  • "BeDivFuzz," 2022, Proceedings of the 44th International Conference on Software Engineering
  • "A property specification pattern catalog for real-time system verification with UPPAAL," 2022, Information and Software Technology
  • "Inputs From Hell," 2020, IEEE Transactions on Software Engineering

Among frequent coauthors, Grunske has collaborated extensively with Thomas Vogel, Genaína Nunes Rodrigues, Timo Kehrer, Marc Carwehl, and Arut Prakash Kaleeswaran.

The scientist's contribution to software reliability, verification, and testing research is reflected in a substantive body of work comprising over 90 publications in computer science. This includes 32 publications specifically focused on software testing and debugging techniques, 28 on software engineering research, and 26 on software reliability and analysis research.

Best Publications

  • Dynamic QoS Management and Optimization in Service-Based Systems

    R Calinescu;L Grunske;M Kwiatkowska;R Mirandola

  • Software Architecture Optimization Methods: A Systematic Literature Review

    Aldeida Aleti;Barbora Buhnova;Lars Grunske;Anne Koziolek

  • ArcheOpterix: An extendable tool for architecture optimization of AADL models

    Aldeida Aleti;Stefan Bjornander;Lars Grunske;Indika Meedeniya

  • A learning-to-rank based fault localization approach using likely invariants

    Tien-Duy B. Le;David Lo;Claire Le Goues;Lars Grunske

  • Specification patterns for probabilistic quality properties

    Lars Grunske

  • Using models at runtime to address assurance for self-adaptive systems

    Betty H. C. Cheng;Kerstin I. Eder;Martin Gogolla;Lars Grunske

  • Aligning Qualitative, Real-Time, and Probabilistic Property Specification Patterns Using a Structured English Grammar

    Marco Autili;Lars Grunske;Markus Lumpe;Patrizio Pelliccione

  • Performance Prediction of Component-Based Systems A Survey from an Engineering Perspective

    Steffen Becker;Lars Grunske;Raffaela Mirandola;Sven Overhage

  • An Approach to Forecasting QoS Attributes of Web Services Based on ARIMA and GARCH Models

    Ayman Amin;Alan Colman;Lars Grunske

  • An approach to software reliability prediction based on time series modeling

    Ayman Amin;Lars Grunske;Alan Colman

  • Dimensions and metrics for evaluating recommendation systems

    Iman Avazpour;Teerat Pitakrat;Lars Grunske;John C. Grundy

  • Performance prediction of component-based systems

    Steffen Becker;Lars Grunske;Raffaela Mirandola;Sven Overhage

  • Software engineering for self-adaptive systems: research challenges in the provision of assurances

    Rogério de Lemos;David Garlan;Carlo Ghezzi;Holger Giese

  • Perpetual assurances for self-adaptive systems

    Danny Weyns;Nelly Bencomo;Radu Calinescu;Javier Camara

  • Model-Driven safety evaluation with state-event-based component failure annotations

    Lars Grunske;Bernhard Kaiser;Yiannis Papadopoulos

  • Identifying "good" architectural design alternatives with multi-objective optimization strategies

    Lars Grunske

  • Semantic program repair using a reference implementation

    Sergey Mechtaev;Manh-Dung Nguyen;Yannic Noller;Lars Grunske

  • Safety Analysis of an Airbag System Using Probabilistic FMEA and Probabilistic Counterexamples

    Husain Aljazzar;Manuel Fischer;Lars Grunske;Matthias Kuntz

  • Using graph transformation for practical model-driven software engineering

    Lars Grunske;Leif Geiger;Albert Zündorf;Niels Van Eetvelde

  • Probabilistic Model-Checking Support for FMEA

    L. Grunske;R. Colvin;K. Winter

Frequent Co-Authors

Yiannis Papadopoulos
Yiannis Papadopoulos University of Hull
Raffaela Mirandola
Raffaela Mirandola Polytechnic University of Milan
Patrizio Pelliccione
Patrizio Pelliccione Gran Sasso Science Institute
Marin Litoiu
Marin Litoiu York University
Radu Calinescu
Radu Calinescu University of York
Hausi A. Müller
Hausi A. Müller University of Victoria
David Lo
David Lo Singapore Management University
Danny Weyns
Danny Weyns KU Leuven
Sam Malek
Sam Malek University of California, Irvine
Jean-Marc Jézéquel
Jean-Marc Jézéquel University of Rennes

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