World's Best Scientists 2026 revealed!
Saman Amarasinghe

Saman Amarasinghe

D-Index & Metrics

Computer Science

D-Index
78
Citations
26484
World Ranking
1198
National Ranking
636

Saman Amarasinghe 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 Saman Amarasinghe 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: 251 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Saman Amarasinghe 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 Saman Amarasinghe 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: 78 D-Index — 92nd percentile

92% 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

  • 2019 - ACM Fellow For contributions to high performance computing on modern hardware platforms, domain-specific languages, and compilation techniques

Overview

Saman Amarasinghe is affiliated with the Massachusetts Institute of Technology (MIT) in the United States. Their primary research focus lies within computer science, with significant contributions in hardware and architecture, artificial intelligence, computer networks and communications, computational mathematics, and computer vision and pattern recognition.

Their research addresses various topics including parallel computing and optimization techniques, tensor decomposition and applications, algorithms and data compression, computational physics and Python applications, embedded systems design techniques, advanced data storage technologies, as well as quantum chromodynamics and particle interactions.

Recent publications by Saman Amarasinghe and close collaborators demonstrate a range of interests and expertise. Notable papers include:

  • "A sparse iteration space transformation framework for sparse tensor algebra," 2020, Proceedings of the ACM on Programming Languages
  • "Variational study of two-nucleon systems with lattice QCD," 2023, Physical Review D
  • "A Deep Learning Based Cost Model for Automatic Code Optimization," 2021, arXiv (Cornell University)
  • "Compilation of sparse array programming models," 2021, Proceedings of the ACM on Programming Languages
  • "A Python-based programming language for high-performance computational genomics," 2021, Nature Biotechnology

The scientist frequently publishes in venues such as arXiv (Cornell University), Proceedings of the ACM on Programming Languages, and Physical Review D. Lesser but noted contributions also appear in Zenodo (CERN European Organization for Nuclear Research) and the American Journal of Agricultural Science Engineering and Technology.

Saman Amarasinghe has collaborated repeatedly with a number of researchers over their career. Frequent co-authors include Willow Ahrens, Stephen Y. Chou, Fredrik Kjølstad, Changwan Hong, and A. A. Y. Amarasinghe.

In 2019, Saman Amarasinghe received the ACM Fellow award for contributions to high performance computing on modern hardware platforms, domain-specific languages, and compilation techniques.

Best Publications

  • StreamIt: A Language for Streaming Applications

    William Thies;Michal Karczmarek;Saman P. Amarasinghe

  • The Raw microprocessor: a computational fabric for software circuits and general-purpose programs

    M.B. Taylor;J. Kim;J. Miller;D. Wentzlaff

  • Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines

    Jonathan Ragan-Kelley;Connelly Barnes;Andrew Adams;Sylvain Paris

  • Baring it all to software: Raw machines

    E. Waingold;M. Taylor;D. Srikrishna;V. Sarkar

  • Maximizing multiprocessor performance with the SUIF compiler

    M.W. Hall;J.M. Anderson;J.M. Anderson;S.P. Amarasinghe;S.P. Amarasinghe;B.R. Murphy;B.R. Murphy

  • SUIF: an infrastructure for research on parallelizing and optimizing compilers

    Robert P. Wilson;Robert S. French;Christopher S. Wilson;Saman P. Amarasinghe

  • Secure Execution via Program Shepherding

    Vladimir Kiriansky;Derek Bruening;Saman P. Amarasinghe

  • Exploiting coarse-grained task, data, and pipeline parallelism in stream programs

    Michael I. Gordon;William Thies;Saman Amarasinghe

  • An infrastructure for adaptive dynamic optimization

    Derek Bruening;Timothy Garnett;Saman Amarasinghe

  • OpenTuner: an extensible framework for program autotuning

    Jason Ansel;Shoaib Kamil;Kalyan Veeramachaneni;Jonathan Ragan-Kelley

  • Evaluation of the Raw Microprocessor: An Exposed-Wire-Delay Architecture for ILP and Streams

    Michael Bedford Taylor;Walter Lee;Jason Miller;David Wentzlaff

  • Exploiting superword level parallelism with multimedia instruction sets

    Samuel Larsen;Saman Amarasinghe

  • Efficient, transparent, and comprehensive runtime code manipulation

    Derek L. Bruening;Saman Amarasinghe

  • Kendo: efficient deterministic multithreading in software

    Marek Olszewski;Jason Ansel;Saman Amarasinghe

  • Automatically patching errors in deployed software

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

  • PetaBricks: a language and compiler for algorithmic choice

    Jason Ansel;Cy Chan;Yee Lok Wong;Marek Olszewski

  • A stream compiler for communication-exposed architectures

    Michael I. Gordon;William Thies;Michal Karczmarek;Jasper Lin

  • The Tensor Algebra Compiler

    Fredrik Kjolstad;Shoaib Kamil;Stephen Chou;David Lugato

  • Data and computation transformations for multiprocessors

    Jennifer M. Anderson;Saman P. Amarasinghe;Monica S. Lam

  • Meta optimization: improving compiler heuristics with machine learning

    Mark Stephenson;Saman Amarasinghe;Martin Martin;Una-May O'Reilly

  • Maximizing Multiprocessor Performance with the SUIF Compiler.

    Mary W. Hall;Jennifer-Ann M. Anderson;Saman P. Amarasinghe;Brian R. Murphy

Frequent Co-Authors

William Thies
William Thies Microsoft (United States)
Shoaib Kamil
Shoaib Kamil Adobe Systems (United States)
Monica S. Lam
Monica S. Lam Stanford University
Mary Hall
Mary Hall University of Utah
Michael Taylor
Michael Taylor University of Washington
Henry Hoffmann
Henry Hoffmann University of Chicago

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