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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
76
Citations
25812
World Ranking
1330
National Ranking
78

Marta Kwiatkowska 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 Kwiatkowska 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: 375 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Marta Kwiatkowska 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 Kwiatkowska 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: 76 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2016 - ACM Fellow For contributions to the theory and practice of probabilistic verification.

Overview

Marta Kwiatkowska is affiliated with the University of Oxford in the United Kingdom. Their research primarily spans the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Molecular Biology, and Management Science and Operations Research.

The scientist's work covers a range of main topics including Adversarial Robustness in Machine Learning, Machine Learning and Algorithms, Formal Methods in Verification, Fault Detection and Control Systems, Reinforcement Learning in Robotics, Bayesian Modeling and Causal Inference, and Explainable Artificial Intelligence (XAI).

Frequent publication venues for Marta Kwiatkowska include:

  • arXiv (Cornell University)
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • IRIS Research product catalog (Sapienza University of Rome)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Value in Health

Some notable recent papers authored or co-authored by Marta Kwiatkowska are:

  • PID control of biochemical reaction networks, 2022, IRIS Research product catalog (Sapienza University of Rome)
  • Invariant Causal Prediction for Block MDPs, 2020, arXiv (Cornell University)
  • Formal and Efficient Synthesis for Continuous-Time Linear Stochastic Hybrid Processes, 2020, IEEE Transactions on Automatic Control
  • On the Benefits of Invariance in Neural Networks, 2020, arXiv (Cornell University)
  • Rational verification: game-theoretic verification of multi-agent systems, 2021, Applied Intelligence

Marta Kwiatkowska has collaborated frequently with several researchers, including:

  • Gethin Norman
  • Luca Laurenti
  • David Parker
  • Andrea Patanè
  • Matthew Wicker

In recognition of their contributions, Marta Kwiatkowska was awarded the ACM Fellow distinction in 2016 for contributions to the theory and practice of probabilistic verification.

Best Publications

  • PRISM 4.0: verification of probabilistic real-time systems

    Marta Kwiatkowska;Gethin Norman;David Parker

  • PRISM : A tool for automatic verification of probabilistic systems

    Andrew Hinton;Marta Kwiatkowska;Gethin Norman;David Parker

  • Safety Verification of Deep Neural Networks

    Xiaowei Huang;Marta Kwiatkowska;Sen Wang;Min Wu

  • PRISM: Probabilistic Symbolic Model Checker

    Marta Z. Kwiatkowska;Gethin Norman;David Parker

  • Stochastic model checking

    Marta Kwiatkowska;Gethin Norman;David Parker

  • Dynamic QoS Management and Optimization in Service-Based Systems

    R Calinescu;L Grunske;M Kwiatkowska;R Mirandola

  • Automatic verification of real-time systems with discrete probability distributions

    Marta Kwiatkowska;Gethin Norman;Roberto Segala;Jeremy Sproston

  • Probabilistic Symbolic Model Checking with PRISM: A Hybrid Approach

    Marta Z. Kwiatkowska;Gethin Norman;David Parker

  • Automated Verification Techniques for Probabilistic Systems

    Vojtech Forejt;Marta Z. Kwiatkowska;Gethin Norman;David Parker

  • Automatic verification of competitive stochastic systems

    Taolue Chen;Vojtech Forejt;Marta Z. Kwiatkowska;David Parker

  • Self-adaptive software needs quantitative verification at runtime

    Radu Calinescu;Carlo Ghezzi;Marta Kwiatkowska;Raffaela Mirandola

  • Concolic testing for deep neural networks

    Youcheng Sun;Min Wu;Wenjie Ruan;Xiaowei Huang

  • PRISM: probabilistic model checking for performance and reliability analysis

    Marta Kwiatkowska;Gethin Norman;David Parker

  • Performance analysis of probabilistic timed automata using digital clocks

    Marta Kwiatkowska;Gethin Norman;David Parker;Jeremy Sproston

  • Model checking for a probabilistic branching time logic with fairness

    Christel Baier;Marta Kwiatkowska

  • Symbolic model checking for probabilistic timed automata

    Marta Kwiatkowska;Gethin Norman;Jeremy Sproston;Fuzhi Wang

  • Large-scale complex IT systems

    Ian Sommerville;Dave Cliff;Radu Calinescu;Justin Keen

  • Numerical vs. statistical probabilistic model checking

    Håkan L. S. Younes;Marta Kwiatkowska;Gethin Norman;David Parker

  • Mathematical Techniques for Analyzing Concurrent and Probabilistic Systems

    J. J. Rutten;Marta Kwiatkowska;Gethin Norman;David Parker

  • Reachability analysis of deep neural networks with provable guarantees

    Wenjie Ruan;Xiaowei Huang;Marta Kwiatkowska

  • Probabilistic model checking of complex biological pathways

    John Heath;Marta Kwiatkowska;Gethin Norman;David Parker

Frequent Co-Authors

Gethin Norman
Gethin Norman University of Glasgow
David Parker
David Parker University of Oxford
Luca Cardelli
Luca Cardelli University of Oxford
Radu Calinescu
Radu Calinescu University of York
Taolue Chen
Taolue Chen Birkbeck, University of London
Christel Baier
Christel Baier TU Dresden
Bengt Jonsson
Bengt Jonsson Uppsala University
Alessandro Abate
Alessandro Abate University of Oxford
Antonia Bertolino
Antonia Bertolino National Research Council (CNR)
Roberto Segala
Roberto Segala University of Verona

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