World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5454
World Ranking
11670
National Ranking
4783

Satish Narayanasamy 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 Satish Narayanasamy 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: 102 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Satish Narayanasamy 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 Satish Narayanasamy 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: 35 D-Index — 20th percentile

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

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

Overview

Satish Narayanasamy is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology as well as Computer Science.

Their main subfields of study include Molecular Biology, Artificial Intelligence, Genetics, Plant Science, and Biomedical Engineering. The scientist's work covers a variety of topics, including:

  • Genomics and Phylogenetic Studies
  • Algorithms and Data Compression
  • RNA modifications and cancer
  • RNA and protein synthesis mechanisms
  • Chromosomal and Genetic Variations
  • Genomics and Rare Diseases
  • Machine Learning in Bioinformatics

Satish Narayanasamy has contributed to multiple research publications, with recent papers including:

  • "Accelerating Minimap2 for Accurate Long Read Alignment on GPUs," 2023, Journal of Biotechnology and Biomedicine
  • "vcfdist: accurately benchmarking phased small variant calls in human genomes," 2023, Nature Communications
  • "Accelerating Minimap2 for accurate long read alignment on GPUs," 2022, bioRxiv (Cold Spring Harbor Laboratory)
  • "Rapid Real-time Squiggle Classification for Read until using RawMap," 2023, Archives of Clinical and Biomedical Research
  • "Rapid Real-time Squiggle Classification for Read Until Using RawMap," 2022, bioRxiv (Cold Spring Harbor Laboratory)

The scientist frequently publishes in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Biotechnology and Biomedicine
  • arXiv (Cornell University)
  • Nature Communications

Collaborations have been a significant aspect of their research, with frequent co-authors comprising:

  • Tim Dunn
  • Reetuparna Das
  • David Blaauw
  • Harisankar Sadasivan
  • Jack Wadden

Best Publications

  • BugNet: Continuously Recording Program Execution for Deterministic Replay Debugging

    Satish Narayanasamy;Gilles Pokam;Brad Calder

  • Compute Caches

    Shaizeen Aga;Supreet Jeloka;Arun Subramaniyan;Satish Narayanasamy

  • LiteRace: effective sampling for lightweight data-race detection

    Daniel Marino;Madanlal Musuvathi;Satish Narayanasamy

  • Automatically classifying benign and harmful data races using replay analysis

    Satish Narayanasamy;Zhenghao Wang;Jordan Tigani;Andrew Edwards

  • DoublePlay: Parallelizing Sequential Logging and Replay

    Kaushik Veeraraghavan;Dongyoon Lee;Benjamin Wester;Jessica Ouyang

  • DoublePlay: parallelizing sequential logging and replay

    Kaushik Veeraraghavan;Dongyoon Lee;Benjamin Wester;Jessica Ouyang

  • Respec: efficient online multiprocessor replayvia speculation and external determinism

    Dongyoon Lee;Benjamin Wester;Kaushik Veeraraghavan;Satish Narayanasamy

  • A case for an interleaving constrained shared-memory multi-processor

    Jie Yu;Satish Narayanasamy

  • Catnap: energy proportional multiple network-on-chip

    Reetuparna Das;Satish Narayanasamy;Sudhir K. Satpathy;Ronald G. Dreslinski

  • Maple: a coverage-driven testing tool for multithreaded programs

    Jie Yu;Satish Narayanasamy;Cristiano Pereira;Gilles Pokam

  • Recording shared memory dependencies using strata

    Satish Narayanasamy;Cristiano Pereira;Brad Calder

  • Race detection for event-driven mobile applications

    Chun-Hung Hsiao;Jie Yu;Satish Narayanasamy;Ziyun Kong

  • Unbounded page-based transactional memory

    Weihaw Chuang;Satish Narayanasamy;Ganesh Venkatesh;Jack Sampson

  • MLP aware heterogeneous memory system

    Sujay Phadke;Satish Narayanasamy

  • Language-level persistency

    Aasheesh Kolli;Vaibhav Gogte;Ali Saidi;Stephan Diestelhorst

  • End-to-end sequential consistency

    Abhayendra Singh;Satish Narayanasamy;Daniel Marino;Todd Millstein

  • DRFX: a simple and efficient memory model for concurrent programming languages

    Daniel Marino;Abhayendra Singh;Todd Millstein;Madanlal Musuvathi

  • Detecting and surviving data races using complementary schedules

    Kaushik Veeraraghavan;Peter M. Chen;Jason Flinn;Satish Narayanasamy

  • Respec: Efficient Online Multiprocessor Replay via Speculation and External Determinism

    Dongyoon Lee;Benjamin Wester;Kaushik Veeraraghavan;Satish Narayanasamy

  • A case for an SC-preserving compiler

    Daniel Marino;Abhayendra Singh;Todd Millstein;Madanlal Musuvathi

Frequent Co-Authors

Peter M. Chen
Peter M. Chen University of Michigan–Ann Arbor
David Blaauw
David Blaauw University of Michigan–Ann Arbor
Reetuparna Das
Reetuparna Das University of Michigan–Ann Arbor
Brad Calder
Brad Calder Google (United States)
Jason Flinn
Jason Flinn Facebook (United States)
Madanlal Musuvathi
Madanlal Musuvathi Microsoft (United States)
Todd Millstein
Todd Millstein University of California, Los Angeles
Thomas F. Wenisch
Thomas F. Wenisch University of Michigan–Ann Arbor
Scott Mahlke
Scott Mahlke University of Michigan–Ann Arbor
William S.-Y. Wang
William S.-Y. Wang Hong Kong Polytechnic University

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