World's Best Scientists 2026 revealed!

Igal Sason 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 Igal Sason 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+

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

Igal Sason 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 Igal Sason 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+

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

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to the achievable rate region of the Gaussian interference channel and the analysis of low-complexity capacity-achieving linear codes

Overview

Igal Sason is affiliated with the Technion - Israel Institute of Technology in Israel. Their research predominantly spans the fields of Mathematics and Computer Science. The main areas of study include Computational Theory and Mathematics, Geometry and Topology, Discrete Mathematics and Combinatorics, Artificial Intelligence, and Statistical and Nonlinear Physics.

The scientist's work covers several specialized topics such as:

  • Graph theory and applications
  • Limits and Structures in Graph Theory
  • Advanced Graph Theory Research
  • Graph Labeling and Dimension Problems
  • Statistical Mechanics and Entropy
  • Distributed Sensor Networks and Detection Algorithms
  • Sparse and Compressive Sensing Techniques

Recent publications by Igal Sason include:

  • "Divergence Measures: Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems," 2022, Entropy
  • "Observations on the Lovász θ-Function, Graph Capacity, Eigenvalues, and Strong Products †," 2023, Entropy
  • "Observations on graph invariants with the Lovász $ \\vartheta $-function," 2024, AIMS Mathematics
  • "A Generalized Information-Theoretic Approach for Bounding the Number of Independent Sets in Bipartite Graphs," 2021, Entropy

Other relevant publications linked to their research topics include:

  • "On Relations Between the Relative Entropy and χ2-Divergence, Generalizations and Applications," 2020, Entropy (authored by Tomohiro Nishiyama)

Frequently appearing publication venues with contributions include:

  • arXiv (Cornell University)
  • Entropy
  • AIMS Mathematics
  • Mathematics
  • MDPI (MDPI AG)

Igal Sason has collaborated with a number of co-authors on various papers. Notable frequent co-authors are:

  • Н. Крупник
  • Suleiman Hamud
  • Abraham Berman
  • Robert Graczyk
  • Tomohiro Nishiyama

In 2019, the scientist was recognized as an IEEE Fellow for contributions to the achievable rate region of the Gaussian interference channel and the analysis of low-complexity capacity-achieving linear codes.

Best Publications

  • Concentration of Measure Inequalities in Information Theory, Communications and Coding

    Maxim Raginsky;Igal Sason

  • On achievable rate regions for the Gaussian interference channel

    I. Sason

  • $f$ -Divergence Inequalities

    Igal Sason;Sergio Verdu

  • Capacity-achieving ensembles for the binary erasure channel with bounded complexity

    H.D. Pfister;I. Sason;R. Urbanke

  • Performance Analysis of Linear Codes Under Maximum-Likelihood Decoding: A Tutorial

    Igal Sason;Shlomo Shamai

  • Variations on the Gallager bounds, connections, and applications

    S. Shamai;I. Sason

  • Improved upper bounds on the ML decoding error probability of parallel and serial concatenated turbo codes via their ensemble distance spectrum

    I. Sason;S. Shamai

  • Parity-check density versus performance of binary linear block codes over memoryless symmetric channels

    I. Sason;R. Urbanke

  • An improved sphere-packing bound for finite-length codes over symmetric memoryless channels

    G. Wiechman;I. Sason

  • Achieving Marton’s Region for Broadcast Channels Using Polar Codes

    Marco Mondelli;Seyed Hamed Hassani;Igal Sason;Rudiger L. Urbanke

  • Arimoto–Rényi Conditional Entropy and Bayesian $M$ -Ary Hypothesis Testing

    Igal Sason;Sergio Verdu

  • Accumulate–Repeat–Accumulate Codes: Capacity-Achieving Ensembles of Systematic Codes for the Erasure Channel With Bounded Complexity

    H.D. Pfister;I. Sason

  • Capacity-Achieving Ensembles of Accumulate-Repeat-Accumulate Codes for the Erasure Channel with Bounded Complexity ¤

    Henry D. Pfister;Igal Sason

  • On improved bounds on the decoding error probability of block codes over interleaved fading channels, with applications to turbo-like codes

    I. Sason;S. Shamai

  • On interleaved, differentially encoded convolutional codes

    M. Peleg;I. Sason;S. Shamai;A. Elia

  • Improved Bounds on Lossless Source Coding and Guessing Moments via Rényi Measures

    Igal Sason;Sergio Verdu

  • Entropy Bounds for Discrete Random Variables via Maximal Coupling

    Igal Sason

  • Achieving Marton's Region for Broadcast Channels Using Polar Codes

    Marco Mondelli;S. Hamed Hassani;Igal Sason;Rüdiger Urbanke

  • Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Second Edition

    Maxim Raginsky;Igal Sason

  • Improved Bounds on Lossless Source Coding and Guessing Moments via R'{e}nyi Measures

    Igal Sason;Sergio Verdú

Frequent Co-Authors

Shlomo Shamai
Shlomo Shamai Technion – Israel Institute of Technology
Sergio Verdu
Sergio Verdu Princeton University
Rudiger Urbanke
Rudiger Urbanke École Polytechnique Fédérale de Lausanne
Henry D. Pfister
Henry D. Pfister Duke University
Neri Merhav
Neri Merhav Technion – Israel Institute of Technology
Chao Tian
Chao Tian Texas A&M University

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