World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
6838
World Ranking
13395
National Ranking
213

Emmanuel Abbe 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 Emmanuel Abbe 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: 175 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Emmanuel Abbe 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 Emmanuel Abbe 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Emmanuel Abbe is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research spans several areas primarily within computer science and medicine, with a focus on artificial intelligence and diagnostic imaging.

Their body of work includes contributions to key topics such as:

  • Neural Networks and Applications
  • Cardiac Imaging and Diagnostics
  • DNA and Biological Computing
  • Machine Learning and Algorithms
  • Error Correcting Code Techniques
  • Coronary Interventions and Diagnostics
  • Stochastic Gradient Optimization Techniques

Main fields of study covered in their publications are:

  • Computer Science
  • Medicine

More specific subfields within these domains include:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Molecular Biology
  • Statistics and Probability
  • Computer Networks and Communications

Emmanuel Abbe has published extensively in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • The Annals of Statistics
  • European Heart Journal
  • EuroIntervention

Notable recent papers authored by Emmanuel Abbe include:

  • Entrywise eigenvector analysis of random matrices with low expected rank, 2020, The Annals of Statistics
  • Reed-Muller Codes: Theory and Algorithms, 2020, IEEE Transactions on Information Theory
  • Reed-Muller Codes Polarize, 2020, IEEE Transactions on Information Theory

Other frequently cited works connected to their field of study include:

  • ChatGPT takes on the European Exam in Core Cardiology: an artificial intelligence success story?, 2023, European Heart Journal - Digital Health
  • Recursive Projection-Aggregation Decoding of Reed-Muller Codes, 2020, IEEE Transactions on Information Theory

Frequent co-authors collaborating with Emmanuel Abbe are:

  • Olivier Müller
  • Stéphane Fournier
  • Thabo Mahendiran
  • Dorina Thanou
  • Ortal Senouf

Best Publications

  • Community detection and stochastic block models: recent developments

    Emmanuel Abbe

  • Community Detection and Stochastic Block Models

    Emmanuel Abbe

  • Exact Recovery in the Stochastic Block Model

    Emmanuel Abbe;Afonso S. Bandeira;Georgina Hall

  • Community Detection in General Stochastic Block models: Fundamental Limits and Efficient Algorithms for Recovery

    Emmanuel Abbe;Colin Sandon

  • ENTRYWISE EIGENVECTOR ANALYSIS OF RANDOM MATRICES WITH LOW EXPECTED RANK.

    Emmanuel Abbe;Jianqing Fan;Kaizheng Wang;Yiqiao Zhong

  • Communication-Computation Efficient Gradient Coding

    Min Ye;Emmanuel Abbe

  • Decoding Binary Node Labels from Censored Edge Measurements: Phase Transition and Efficient Recovery

    Emmanuel Abbe;Afonso S. Bandeira;Annina Bracher;Amit Singer

  • Polar Coding for Secret-Key Generation

    Remi A. Chou;Matthieu R. Bloch;Emmanuel Abbe

  • Polar Codes for the m-User MAC

    Emmanuel Abbe;Emre Telatar

  • Community detection in general stochastic block models: fundamental limits and efficient recovery algorithms.

    Emmanuel Abbe;Colin Sandon

  • Polar Codes for Broadcast Channels

    Naveen Goela;Emmanuel Abbe;Michael Gastpar

  • Detection in the stochastic block model with multiple clusters: proof of the achievability conjectures, acyclic BP, and the information-computation gap

    Emmanuel Abbe;Colin Sandon

  • Asymptotic mutual information for the balanced binary stochastic block model

    Yash Deshpande;Emmanuel Abbe;Andrea Montanari

  • Recursive Projection-Aggregation Decoding of Reed-Muller Codes

    Min Ye;Emmanuel Abbe

  • Normalization and correlation of cross-nested logit models

    Emmanuel Abbe;Michel Bierlaire;Tomer Toledo

  • Exact Recovery in the Stochastic Block Model

    Emmanuel Abbe;Afonso S. Bandeira;Georgina Hall

  • Privacy-Preserving Methods for Sharing Financial Risk Exposures

    Emmanuel Auguste Abbe;Amir E. Khandani;Andrew W. Lo

  • Polar coding schemes for the AWGN channel

    Emmanuel Abbe;Andrew Barron

  • Recovering communities in the general stochastic block model without knowing the parameters

    Emmanuel Abbe;Colin Sandon

  • Asymptotic Mutual Information for the Two-Groups Stochastic Block Model

    Yash Deshpande;Emmanuel Abbe;Andrea Montanari

  • Proof of the Achievability Conjectures for the General Stochastic Block Model

    Emmanuel Abbe;Colin Sandon

  • Reed–Muller Codes: Theory and Algorithms

    Emmanuel Abbe;Amir Shpilka;Min Ye

  • Provable limitations of deep learning.

    Emmanuel Abbe;Colin Sandon

  • Reed–Muller Codes for Random Erasures and Errors

    Emmanuel Abbe;Amir Shpilka;Avi Wigderson

Frequent Co-Authors

Andrea Montanari
Andrea Montanari Stanford University
Amit Singer
Amit Singer Princeton University
Sanjeev R. Kulkarni
Sanjeev R. Kulkarni Princeton University
Allan Sly
Allan Sly Princeton University
Amir Shpilka
Amir Shpilka Tel Aviv University
Jianqing Fan
Jianqing Fan Princeton University
Nathan Srebro
Nathan Srebro Toyota Technological Institute at Chicago
Sergio Verdu
Sergio Verdu Princeton University

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