World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
4189
World Ranking
14047
National Ranking
5575

Tiark Rompf 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 Tiark Rompf 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: 122 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Tiark Rompf 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 Tiark Rompf 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Tiark Rompf is affiliated with Purdue University West Lafayette in the United States. Their research work is primarily grounded in the field of Computer Science, with significant contributions across its subfields, including Artificial Intelligence, Software, Computer Networks and Communications, Computational Theory and Mathematics, and Hardware and Architecture.

The scientist's research topics span multiple areas related to programming languages, systems, and verification. These include Logic, programming, and type systems; Formal Methods in Verification; Parallel Computing and Optimization Techniques; Software Testing and Debugging Techniques; Security and Verification in Computing; Advanced Database Systems and Queries; and Distributed systems and fault tolerance.

Tiark Rompf has published numerous papers, with recent notable works including:

  • Reachability types: tracking aliasing and separation in higher-order functional programs (2021) in Proceedings of the ACM on Programming Languages
  • Dinaturality Meets Genericity: A Game Semantics of Bounded Polymorphism (2023) in Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Polymorphic Reachability Types: Tracking Freshness, Aliasing, and Separation in Higher-Order Generic Programs (2024) in Proceedings of the ACM on Programming Languages
  • Best-Effort Lazy Evaluation for Python Software Built on APIs (2021) in arXiv (Cornell University)
  • Compiling symbolic execution with staging and algebraic effects (2020) in Proceedings of the ACM on Programming Languages

The venues where Tiark Rompf frequently publishes include:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Programming Languages
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Proceedings of the 2022 International Conference on Management of Data

Collaboration forms a significant part of their research activities, with frequent coauthors being:

  • Yuyan Bao
  • Guannan Wei
  • Oliver Bračevac
  • Songlin Jia
  • Supun Abeysinghe

Best Publications

  • Lightweight modular staging: a pragmatic approach to runtime code generation and compiled DSLs

    Tiark Rompf;Martin Odersky

  • OptiML: An Implicitly Parallel Domain-Specific Language for Machine Learning

    Arvind Sujeeth;Hyoukjoong Lee;Kevin Brown;Tiark Rompf

  • A Heterogeneous Parallel Framework for Domain-Specific Languages

    Kevin J. Brown;Arvind K. Sujeeth;Hyouk Joong Lee;Tiark Rompf

  • Delite: A Compiler Architecture for Performance-Oriented Embedded Domain-Specific Languages

    Arvind K. Sujeeth;Kevin J. Brown;Hyoukjoong Lee;Tiark Rompf

  • Lightweight modular staging: a pragmatic approach to runtime code generation and compiled DSLs

    Tiark Rompf;Martin Odersky

  • Building efficient query engines in a high-level language

    Yannis Klonatos;Christoph Koch;Tiark Rompf;Hassan Chafi

  • Language virtualization for heterogeneous parallel computing

    Hassan Chafi;Zach DeVito;Adriaan Moors;Tiark Rompf

  • Optimizing data structures in high-level programs: new directions for extensible compilers based on staging

    Tiark Rompf;Arvind K. Sujeeth;Nada Amin;Kevin J. Brown

  • Implementing first-class polymorphic delimited continuations by a type-directed selective CPS-transform

    Tiark Rompf;Ingo Maier;Martin Odersky

  • A generic parallel collection framework

    Aleksandar Prokopec;Phil Bagwell;Tiark Rompf;Martin Odersky

  • Implementing Domain-Specific Languages for Heterogeneous Parallel Computing

    HyoukJoong Lee;Kevin J. Brown;Arvind K. Sujeeth;H. Chafi

  • The Essence of Dependent Object Types

    Nada Amin;Samuel Grütter;Martin Odersky;Tiark Rompf

  • Demystifying differentiable programming: shift/reset the penultimate backpropagator

    Fei Wang;Daniel Zheng;James Decker;Xilun Wu

  • Composition and reuse with compiled domain-specific languages

    Arvind K. Sujeeth;Tiark Rompf;Kevin J. Brown;HyoukJoong Lee

  • Hardware system synthesis from Domain-Specific Languages

    Nithin George;HyoukJoong Lee;David Novo;Tiark Rompf

  • Type soundness proofs with definitional interpreters

    Nada Amin;Tiark Rompf

  • Spiral in scala: towards the systematic construction of generators for performance libraries

    Georg Ofenbeck;Tiark Rompf;Alen Stojanov;Martin Odersky

  • Type soundness for dependent object types (DOT)

    Tiark Rompf;Nada Amin

  • Scala-virtualized

    Adriaan Moors;Tiark Rompf;Philipp Haller;Martin Odersky

  • Foundations of path-dependent types

    Nada Amin;Tiark Rompf;Martin Odersky

Frequent Co-Authors

Martin Odersky
Martin Odersky École Polytechnique Fédérale de Lausanne
Kunle Olukotun
Kunle Olukotun Stanford University
Hassan Chafi
Hassan Chafi Oracle (US)
D. Sculley
D. Sculley Google (United States)
Aniket Kate
Aniket Kate Purdue University West Lafayette
Christoph Koch
Christoph Koch École Polytechnique Fédérale de Lausanne
Pat Hanrahan
Pat Hanrahan Stanford University
Paolo Ienne
Paolo Ienne École Polytechnique Fédérale de Lausanne
Ashutosh Sabharwal
Ashutosh Sabharwal Rice University

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