World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
6093
World Ranking
12498
National Ranking
5073

Jeremy G. Siek 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 Jeremy G. Siek 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: 134 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Jeremy G. Siek 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 Jeremy G. Siek 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Jeremy G. Siek is affiliated with Indiana University in the United States and specializes in research within the field of computer science. Their work spans multiple subfields, with a focus on artificial intelligence, computational theory and mathematics, software, signal processing, and hardware and architecture.

Their research primarily addresses topics in logic, programming, and type systems, formal methods in verification, and security and verification in computing. Additional areas of study include advanced malware detection techniques, model-driven software engineering techniques, software engineering research, and software testing and debugging techniques.

Jeremy G. Siek has authored several papers published in a variety of venues. Notable recent publications include:

  • Programming language foundations in Agda (2020) in Science of Computer Programming
  • Blame and coercion: Together again for the first time (2021) in Journal of Functional Programming
  • Quest Complete: The Holy Grail of Gradual Security (2024) in Proceedings of the ACM on Programming Languages
  • Parameterized cast calculi and reusable meta-theory for gradually typed lambda calculi (2021) in Journal of Functional Programming
  • Parameterized Cast Calculi and Reusable Meta-theory for Gradually Typed Lambda Calculi (2020) in arXiv (Cornell University)

Their frequent publication venues include arXiv (Cornell University), Journal of Functional Programming, Electronic Proceedings in Theoretical Computer Science, Science of Computer Programming, and Proceedings of the ACM on Programming Languages.

Collaboration is part of their research activity, with frequent coauthors such as Philip Wadler, Wen Kokke, Peter Thiemann, and Tianyu Chen.

Best Publications

  • The Boost graph library : user guide and reference manual

    Jeremy G. Siek;Lie-Quan Lee;Andrew Lumsdaine

  • Gradual typing for objects

    Jeremy Siek;Walid Taha

  • Gradual Typing for Functional Languages

    Jeremy G. Siek;Walid Taha

  • Concepts: linguistic support for generic programming in C++

    Douglas Gregor;Jaakko Järvi;Jeremy Siek;Bjarne Stroustrup

  • A comparative study of language support for generic programming

    Ronald Garcia;Jaakko Jarvi;Andrew Lumsdaine;Jeremy G. Siek

  • Refined Criteria for Gradual Typing

    Jeremy G. Siek;Michael M. Vitousek;Matteo Cimini;John Tang Boyland

  • The Matrix Template Library: A Generic Programming Approach to High Performance Numerical Linear Algebra

    Jeremy G. Siek;Andrew Lumsdaine

  • Concept Checking: Binding Parametric Polymorphism in C++

    Jeremy Siek;Andrew Lumsdaine

  • Threesomes, with and without blame

    Jeremy G. Siek;Philip Wadler

  • Design and evaluation of gradual typing for python

    Michael M. Vitousek;Andrew M. Kent;Jeremy G. Siek;Jim Baker

  • Blame for all

    Amal Ahmed;Robert Bruce Findler;Jeremy G. Siek;Philip Wadler

  • Gradual typing with unification-based inference

    Jeremy G. Siek;Manish Vachharajani

  • An extended comparative study of language support for generic programming

    Ronald Garcia;Jaakko Jarvi;Andrew Lumsdaine;Jeremy Siek

  • The Matrix Template Library: generic components for high-performance scientific computing

    J.G. Siek;A. Lumsdaine

  • The generic graph component library

    Lie-Quan Lee;Jeremy G. Siek;Andrew Lumsdaine

  • Automating the generation of composed linear algebra kernels

    Geoffrey Belter;E. R. Jessup;Ian Karlin;Jeremy G. Siek

  • An efficient software transactional memory using commit-time invalidation

    Justin E. Gottschlich;Manish Vachharajani;Jeremy G. Siek

  • Exploring the Design Space of Higher-Order Casts

    Jeremy Siek;Ronald Garcia;Walid Taha

  • Monotonic References for Efficient Gradual Typing

    Jeremy G. Siek;Michael M. Vitousek;Matteo Cimini;Sam Tobin-Hochstadt

  • Essential language support for generic programming

    Jeremy G. Siek;Andrew Lumsdaine

Frequent Co-Authors

Andrew Lumsdaine
Andrew Lumsdaine Pacific Northwest National Laboratory
Walid Taha
Walid Taha Halmstad University
Philip Wadler
Philip Wadler University of Edinburgh
Amal Ahmed
Amal Ahmed Northeastern University
Jonathan Aldrich
Jonathan Aldrich Carnegie Mellon University
Daniel Friedman
Daniel Friedman Indiana University
Robert Bruce Findler
Robert Bruce Findler Northwestern University
Amer Diwan
Amer Diwan Google (United States)
Dale Miller
Dale Miller French Institute for Research in Computer Science and Automation - INRIA
Giuseppe Castagna
Giuseppe Castagna Centre national de la recherche scientifique, CNRS

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