World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
17001
World Ranking
3769
National Ranking
60

Edith Cohen 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 Edith Cohen 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: 191 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Edith Cohen 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 Edith Cohen 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: 57 D-Index — 74th percentile

74% 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

  • 2017 - ACM Fellow For contributions to the design of efficient algorithms for networking and big data

Overview

Edith Cohen is a researcher affiliated with Tel Aviv University in Israel, focusing primarily on computer science. The main fields of study covered in their work include artificial intelligence, computer networks and communications, information systems, computational theory and mathematics, and signal processing.

Their research encompasses a range of topics, including:

  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Adversarial Robustness in Machine Learning
  • Machine Learning and Algorithms
  • Complexity and Algorithms in Graphs
  • Internet Traffic Analysis and Secure E-voting
  • Stochastic Gradient Optimization Techniques

Edith Cohen's recent publication record features work on theoretical and applied aspects of data privacy, machine learning robustness, and algorithm design. Notable papers include:

  • "A Framework for Adversarial Streaming Via Differential Privacy and Difference Estimators," 2024, Algorithmica
  • "A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators," 2023, arXiv (Cornell University)
  • "Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs," 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Composable Sketches for Functions of Frequencies: Beyond the Worst Case," 2020, arXiv (Cornell University)
  • "Differentially-Private Clustering of Easy Instances," 2021, arXiv (Cornell University)

Edith Cohen has collaborated extensively with several researchers throughout their career. Frequent co-authors include:

  • Uri Stemmer
  • Tamás Sarlós
  • Jelani Nelson
  • Xin Lyu
  • Haim Kaplan

Their work has been published in multiple venues, with a strong presence in preprint archives and conference proceedings. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • Algorithmica
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

In 2017, Edith Cohen was named an ACM Fellow recognizing contributions to the design of efficient algorithms for networking and big data. This award highlights a sustained engagement with algorithmic challenges in large-scale computing systems.

Best Publications

  • Search and replication in unstructured peer-to-peer networks

    Qin Lv;Pei Cao;Edith Cohen;Kai Li

  • Search and replication in unstructured peer-to-peer networks

    Unknown

  • Replication strategies in unstructured peer-to-peer networks

    Edith Cohen;Scott Shenker

  • Reachability and Distance Queries via 2-Hop Labels

    Edith Cohen;Eran Halperin;Haim Kaplan;Uri Zwick

  • Finding interesting associations without support pruning

    E. Cohen;M. Datar;S. Fujiwara;A. Gionis

  • Size-Estimation Framework with Applications to Transitive Closure and Reachability

    Edith Cohen

  • Making intra-domain routing robust to changing and uncertain traffic demands: understanding fundamental tradeoffs

    David Applegate;Edith Cohen

  • Labeling dynamic XML trees

    Edith Cohen;Haim Kaplan;Tova Milo

  • Labeling Dynamic XML Trees

    Edith Cohen;Haim Kaplan;Tova Milo

  • Associative search in peer to peer networks: Harnessing latent semantics

    Edith Cohen;Amos Fiat;Haim Kaplan

  • Optimal oblivious routing in polynomial time

    Yossi Azar;Edith Cohen;Amos Fiat;Haim Kaplan

  • Maintaining time-decaying stream aggregates

    Edith Cohen;Martin Strauss

  • Sketch-based Influence Maximization and Computation: Scaling up with Guarantees

    Edith Cohen;Daniel Delling;Thomas Pajor;Renato F. Werneck

  • Associative search in peer to peer networks: harnessing latent semantics

    E. Cohen;A. Fiat;H. Kaplan

  • Improving end-to-end performance of the Web using server volumes and proxy filters

    Edith Cohen;Balachander Krishnamurthy;Jennifer Rexford

  • Method and apparatus for improving end to end performance of a data network

    Edith Cohen;Balachander Krishnamurthy;Jennifer Lynn Rexford

  • Reachability and distance queries via 2-hop labels

    Edith Cohen;Eran Halperin;Haim Kaplan;Uri Zwick

  • Prefetching the means for document transfer: a new approach for reducing Web latency

    E. Cohen;H. Kaplan

  • Proactive caching of DNS records: addressing a performance bottleneck

    E. Cohen;H. Kaplan

  • Fast Algorithms for Constructing t -Spanners and Paths with Stretch t

    Edith Cohen

  • Polylog-time and near-linear work approximation scheme for undirected shortest paths

    Edith Cohen

Frequent Co-Authors

Haim Kaplan
Haim Kaplan Tel Aviv University
Nick Duffield
Nick Duffield Texas A&M University
Carsten Lund
Carsten Lund AT&T (United States)
Mikkel Thorup
Mikkel Thorup University of Copenhagen
Nimrod Megiddo
Nimrod Megiddo IBM (United States)
Amos Fiat
Amos Fiat Tel Aviv University
Uri Zwick
Uri Zwick Tel Aviv University
Daniel Delling
Daniel Delling Apple (United States)
Renato F. Werneck
Renato F. Werneck Microsoft (United States)
Balachander Krishnamurthy
Balachander Krishnamurthy AT&T (United States)

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