World's Best Scientists 2026 revealed!
Martin Rinard

Martin Rinard

D-Index & Metrics

Computer Science

D-Index
76
Citations
22056
World Ranking
1347
National Ranking
706

Martin Rinard 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 Rinard 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 386 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Martin Rinard 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 Rinard sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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

  • 2009 - ACM Fellow For his contributions to program analysis for parallel computing and techniques for enabling software systems to execute successfully in the face of errors and failures.
  • 1995 - Fellow of Alfred P. Sloan Foundation

Overview

Martin Rinard is affiliated with MIT in the United States and has an extensive record in computer science research, with a particular focus on artificial intelligence, economics and econometrics, management science and operations research, hardware and architecture, and computational theory and mathematics. Their work spans diverse areas with a concentration on formal methods in verification, machine learning and algorithms, and parallel computing and optimization techniques.

The scientist's research topics include:

  • Game Theory and Applications
  • Parallel Computing and Optimization Techniques
  • Formal Methods in Verification
  • Machine Learning and Algorithms
  • Adversarial Robustness in Machine Learning
  • Game Theory and Voting Systems
  • Pancreatic and Hepatic Oncology Research

Frequent co-authors in their research collaborations include Kai Jia, Limor Appelbaum, José Cambronero, Irving Kaplan, and Yichen Yang.

Their publication venues are varied but prominently feature the following journals and conferences:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Programming Languages
  • Zenodo (CERN European Organization for Nuclear Research)
  • Lecture Notes in Computer Science
  • Journal of Clinical Oncology

Some of Martin Rinard's recent papers include:

  • "Development and validation of a pancreatic cancer risk model for the general population using electronic health records: An observational study" (2020, European Journal of Cancer)
  • "A pancreatic cancer risk prediction model (Prism) developed and validated on large-scale US clinical data" (2023, EBioMedicine)
  • "Efficient Exact Verification of Binarized Neural Networks" (2020, arXiv (Cornell University))
  • "Doing more with less" (2021, Proceedings of the VLDB Endowment)
  • "Warp: A Hardware Platform for Efficient Multimodal Sensing With Adaptive Approximation" (2020, IEEE Micro)

Throughout their career, Martin Rinard has been recognized with notable awards such as:

  • ACM Fellow, 2009, for contributions to program analysis for parallel computing and techniques enabling software systems to execute successfully despite errors and failures
  • Fellow of Alfred P. Sloan Foundation, 1995

Best Publications

  • Concurrent constraint programming

    Vijay A. Saraswat;Martin Rinard

  • Ownership types for safe programming: preventing data races and deadlocks

    Chandrasekhar Boyapati;Robert Lee;Martin Rinard

  • Managing performance vs. accuracy trade-offs with loop perforation

    Stelios Sidiroglou-Douskos;Sasa Misailovic;Henry Hoffmann;Martin Rinard

  • The semantic foundations of concurrent constraint programming

    Vijay A. Saraswat;Martin Rinard;Prakash Panangaden

  • Automatic patch generation by learning correct code

    Fan Long;Martin Rinard

  • Information-Flow Analysis of Android Applications in DroidSafe

    Michael I. Gordon;Deokhwan Kim;Jeff H. Perkins;Limei Gilham

  • Compositional pointer and escape analysis for Java programs

    John Whaley;Martin Rinard

  • Automatically patching errors in deployed software

    Jeff H. Perkins;Sunghun Kim;Sam Larsen;Saman Amarasinghe

  • An analysis of patch plausibility and correctness for generate-and-validate patch generation systems

    Zichao Qi;Fan Long;Sara Achour;Martin Rinard

  • Enhancing server availability and security through failure-oblivious computing

    Martin Rinard;Cristian Cadar;Daniel Dumitran;Daniel M. Roy

  • Taint-based directed whitebox fuzzing

    Vijay Ganesh;Tim Leek;Martin Rinard

  • Dynamic knobs for responsive power-aware computing

    Henry Hoffmann;Stelios Sidiroglou;Michael Carbin;Sasa Misailovic

  • Staged program repair with condition synthesis

    Fan Long;Martin Rinard

  • A parameterized type system for race-free Java programs

    Chandrasekhar Boyapati;Martin Rinard

  • Verifying quantitative reliability for programs that execute on unreliable hardware

    Michael Carbin;Sasa Misailovic;Martin C. Rinard

  • Verifying quantitative reliability for programs that execute on unreliable hardware

    Michael Carbin;Sasa Misailovic;Martin C. Rinard

  • Automatic detection and repair of errors in data structures

    Brian Demsky;Martin Rinard

  • Jade: a high-level, machine-independent language for parallel programming

    M.C. Rinard;D.J. Scales;M.S. Lam

  • Quality of service profiling

    Sasa Misailovic;Stelios Sidiroglou;Henry Hoffmann;Martin Rinard

  • Control Jujutsu: On the Weaknesses of Fine-Grained Control Flow Integrity

    Isaac Evans;Fan Long;Ulziibayar Otgonbaatar;Howard Shrobe

  • An Analysis of Patch Plausibility and Correctness for Generate-And-Validate Patch Generation Systems (Supplementary Material)

    Zichao Qi;Fan Long;Sara Achour;Martin Rinard

Frequent Co-Authors

Viktor Kuncak
Viktor Kuncak École Polytechnique Fédérale de Lausanne
Alex Aiken
Alex Aiken Stanford University
Mooly Sagiv
Mooly Sagiv Tel Aviv University
Monica S. Lam
Monica S. Lam Stanford University
Henry Hoffmann
Henry Hoffmann University of Chicago
Darko Marinov
Darko Marinov University of Illinois at Urbana-Champaign
Michael D. Ernst
Michael D. Ernst University of Washington

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