World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7803
World Ranking
6565
National Ranking
2902

Tsachy Weissman 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 Tsachy Weissman 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: 322 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Tsachy Weissman 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 Tsachy Weissman 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Tsachy Weissman is a researcher affiliated with Stanford University in the United States. Their work spans multiple areas within computer science and biochemistry, genetics, and molecular biology, with a strong focus on the intersection of data science and biological systems.

Their research output includes contributions to topics such as:

  • Genomics and Phylogenetic Studies
  • Algorithms and Data Compression
  • Privacy-Preserving Technologies in Data
  • Advanced Data Storage Technologies
  • Advanced Data Compression Techniques
  • DNA and Biological Computing
  • Auction Theory and Applications

Tsachy Weissman's work is often interdisciplinary, connecting areas like artificial intelligence and molecular biology. Their publications cover several subfields, including:

  • Artificial Intelligence
  • Molecular Biology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Management Science and Operations Research

They have published extensively in various academic venues. The most frequent publication venues for their work are:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Information Theory
  • Scientific Reports
  • IEEE Journal on Selected Areas in Information Theory

Recent papers authored or co-authored by Tsachy Weissman include:

  • The Human Pangenome Project: a global resource to map genomic diversity (2022), published in Nature
  • Optimal rates of entropy estimation over Lipschitz balls (2020), published in The Annals of Statistics
  • Neural Joint Source-Channel Coding (2024), published on arXiv (Cornell University)
  • AI-Generated Characters: Putting Deepfakes to Good Use (2022), published in CHI Conference on Human Factors in Computing Systems Extended Abstracts
  • Classification and clustering of RNA crosslink-ligation data reveal complex structures and homodimers (2022), published in Genome Research

Frequent collaborators include:

  • Berivan Isik
  • Shubham Chandak
  • Kedar Tatwawadi
  • Hanlee P. Ji
  • Yanjun Han

Tsachy Weissman's body of work comprises significant contributions to both theoretical and applied aspects of data science as they relate to biology and information theory. Their interdisciplinary approach combines advanced computational techniques with molecular biology, enabling research advancements in data compression, genomic diversity mapping, and privacy-preserving technologies.

Best Publications

  • Universal discrete denoising: known channel

    T. Weissman;E. Ordentlich;G. Seroussi;S. Verdu

  • Minimax Estimation of Functionals of Discrete Distributions

    Jiantao Jiao;Kartik Venkat;Yanjun Han;Tsachy Weissman

  • Multiterminal Source Coding Under Logarithmic Loss

    Thomas A. Courtade;Tsachy Weissman

  • Finite State Channels With Time-Invariant Deterministic Feedback

    H.H. Permuter;T. Weissman;A.J. Goldsmith

  • Capacity of the Trapdoor Channel With Feedback

    H. Permuter;P. Cuff;B. Van Roy;T. Weissman

  • Universal Estimation of Directed Information

    Jiantao Jiao;Haim H. Permuter;Lei Zhao;Young-Han Kim

  • Maximum Likelihood Estimation of Functionals of Discrete Distributions

    Jiantao Jiao;Kartik Venkat;Yanjun Han;Tsachy Weissman

  • Interpretations of Directed Information in Portfolio Theory, Data Compression, and Hypothesis Testing

    H H Permuter;Young-Han Kim;Tsachy Weissman

  • Capacity of Channels With Action-Dependent States

    T Weissman

  • On limited-delay lossy coding and filtering of individual sequences

    T. Weissman;N. Merhav

  • Source Coding With Limited-Look-Ahead Side Information at the Decoder

    T. Weissman;A. El Gamal

  • Effect of lossy compression of quality scores on variant calling

    Idoia Ochoa;Mikel Hernaez;Rachel L. Goldfeder;Tsachy Weissman

  • The Relationship Between Causal and Noncausal Mismatched Estimation in Continuous-Time AWGN Channels

    T Weissman

  • The Gaussian Channel with Noisy Feedback

    Young-Han Kim;A. Lapidoth;T. Weissman

  • The Information Lost in Erasures

    S. Verdu;T. Weissman

  • Mutual Information, Relative Entropy, and Estimation in the Poisson Channel

    R. Atar;T. Weissman

  • A discrete universal denoiser and its application to binary images

    E. Ordentlich;G. Seroussi;S. Verdu;M. Weinberger

  • Geometric Lower Bounds for Distributed Parameter Estimation Under Communication Constraints

    Yanjun Han;Ayfer Ozgur;Tsachy Weissman

  • SPRING: a next-generation compressor for FASTQ data

    Shubham Chandak;Kedar Tatwawadi;Idoia Ochoa;Mikel Hernaez

  • Optimal rates of entropy estimation over Lipschitz balls

    Yanjun Han;Jiantao Jiao;Tsachy Weissman;Yihong Wu

  • Neural Joint Source-Channel Coding

    Kristy Choi;Kedar Tatwawadi;Aditya Grover;Tsachy Weissman

  • Universal estimation of directed information

    Lei Zhao;Haim Permuter;Young-Han Kim;Tsachy Weissman

Frequent Co-Authors

Neri Merhav
Neri Merhav Technion – Israel Institute of Technology
Young-Han Kim
Young-Han Kim University of California, San Diego
Andrea Goldsmith
Andrea Goldsmith Stony Brook University
Sergio Verdu
Sergio Verdu Princeton University
Shlomo Shamai
Shlomo Shamai Technion – Israel Institute of Technology
Gadiel Seroussi
Gadiel Seroussi University of the Republic
A. Salman Avestimehr
A. Salman Avestimehr University of Southern California
Amos Lapidoth
Amos Lapidoth ETH Zurich
Sungroh Yoon
Sungroh Yoon Seoul National University
Brian Marcus
Brian Marcus University of British Columbia

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