World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
4295
World Ranking
12256
National Ranking
4967

Tatiana Shpeisman 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 Tatiana Shpeisman 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: 81 publications — 3rd percentile

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

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

Tatiana Shpeisman 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 Tatiana Shpeisman 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: 34 D-Index — 16th percentile

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

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

Overview

Tatiana Shpeisman is affiliated with Modular AI in the United States. Their research focuses on computer science and mathematics, with particular attention to hardware and architecture, computational mathematics, and artificial intelligence. The subfields of study they engage with include computational theory and mathematics, as well as information systems and management.

Their work spans several main topics, including parallel computing and optimization techniques, tensor decomposition and applications, numerical methods and algorithms, logic, programming and type systems, scientific computing and data management, and computational physics and Python applications.

Tatiana Shpeisman has contributed to multiple publication venues, prominently including arXiv (Cornell University) and ACM Transactions on Architecture and Code Optimization.

The scientist's recent papers include:

  • MLIR: A Compiler Infrastructure for the End of Moore's Law, 2020, arXiv (Cornell University)
  • Compiler Support for Sparse Tensor Computations in MLIR, 2022, ACM Transactions on Architecture and Code Optimization
  • Compiler Support for Sparse Tensor Computations in MLIR, 2022, arXiv (Cornell University)

The research collaborations of Tatiana Shpeisman feature a number of frequent coauthors, such as:

  • Nicolas Vasilache
  • Aart J. C. Bik
  • Penporn Koanantakool
  • Fredrik Kjølstad
  • Bixia Zheng

Best Publications

  • Compiler and runtime support for efficient software transactional memory

    Ali-Reza Adl-Tabatabai;Brian T. Lewis;Vijay Menon;Brian R. Murphy

  • MLIR: scaling compiler infrastructure for domain specific computation

    Chris Lattner;Mehdi Amini;Uday Bondhugula;Albert Cohen

  • The Omega Library interface guide

    Wayne Kelly;Vadim Maslov;William Pugh;Evan Rosser

  • Open nesting in software transactional memory

    Yang Ni;Vijay S. Menon;Ali-Reza Adl-Tabatabai;Antony L. Hosking

  • Enforcing isolation and ordering in STM

    Tatiana Shpeisman;Vijay Menon;Ali-Reza Adl-Tabatabai;Steven Balensiefer

  • MLIR: A Compiler Infrastructure for the End of Moore's Law.

    Chris Lattner;Jacques A. Pienaar;Mehdi Amini;Uday Bondhugula

  • Practical weak-atomicity semantics for java stm

    Vijay Menon;Steven Balensiefer;Tatiana Shpeisman;Ali-Reza Adl-Tabatabai

  • Adaptive heterogeneous scheduling for integrated GPUs

    Rashid Kaleem;Rajkishore Barik;Tatiana Shpeisman;Brian T. Lewis

  • Transitive Closure of Infinite Graphs and Its Applications

    Wayne Kelly;William Pugh;Evan Rosser;Tatiana Shpeisman

  • Aspect-Oriented Programming of Sparse Matrix Code

    John Irwin;Jean-Marc Loingtier;John R. Gilbert;Gregor Kiczales

  • Enabling scalability and performance in a large scale CMP environment

    Bratin Saha;Ali-Reza Adl-Tabatabai;Anwar Ghuloum;Mohan Rajagopalan

  • Efficient non-transactional write barriers for strong atomicity

    Tatiana Shpeisman;Ali-Reza Adl-Tabatabai;Vijay Menon;Bratin Saha

  • Method, apparatus and system for strong atomicity in a transactional memory system

    Saha Bratin;Adl-Tabatabai Ali-Reza;Wang Cheng;Shpeisman Tatiana

  • Safe nondeterminism in a deterministic-by-default parallel language

    Robert L. Bocchino;Stephen Heumann;Nima Honarmand;Sarita V. Adve

  • Optimizing quiescence in a software transactional memory (stm) system

    Tatiana Shpeisman;Ali-Reza Adl-Tabatabai;Vijay Menon

  • Invyswell: a hybrid transactional memory for haswell's restricted transactional memory

    Irina Calciu;Justin Gottschlich;Tatiana Shpeisman;Gilles Pokam

  • Dynamic optimization for removal of strong atomicity barriers

    Tatiana Shpeisman;Vijay Menon;All-Reza Adl-Tabatabai

  • Lock elision with transactional memory

    Ali-Reza Adl-Tabatabai;Jesse Fang;Anwar Ghuloum;Rick Hudson

  • Compiler Support for Sparse Tensor Computations in MLIR

    Unknown

  • Single global lock semantics in a weakly atomic STM

    Vijay Menon;Steven Balensiefer;Tatiana Shpeisman;Ali-Reza Adl-Tabatabai

  • Methods and systems for transactional nested parallelism

    Adam Welc;Haris Volos;Ali Adl-Tabatabai;Tatiana Shpeisman

Frequent Co-Authors

Bratin Saha
Bratin Saha Amazon (United States)
Nadathur Satish
Nadathur Satish Facebook (United States)
William Pugh
William Pugh University of Maryland, College Park
Jan Vitek
Jan Vitek Northeastern University
Karsten Schwan
Karsten Schwan Georgia Institute of Technology
Keshav Pingali
Keshav Pingali The University of Texas at Austin
Gregor Kiczales
Gregor Kiczales University of British Columbia
Sanu Mathew
Sanu Mathew Intel (United States)
Mark A. Anders
Mark A. Anders Intel (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA can open doors to many related career pathways in technology and engineering. A strong foundation in computer science often overlaps with fields like engineering, physics, and data science, making it possible to branch out or specialize with further study.

For those interested in technology-driven engineering, pursuing an online degree in mechanical engineering offers practical applications in both hardware and software integration. Similarly, if you’re drawn to problem-solving and theoretical concepts, a physics degree online can complement your computer science knowledge, especially in research and development roles.

Data science is another dynamic field that often intersects with computer science. Earning a data scientist degree can lead to high-demand careers in analytics, machine learning, and artificial intelligence. Additionally, for those interested in electronics, an online electrical engineering degree ranking helps you identify top programs for combining electronics, programming, and systems design.

Best Scientists Citing Tatiana Shpeisman

Trending Scientists

Recently Published Articles