World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
11870
World Ranking
3292
National Ranking
1594

Paul H. Siegel 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 Paul H. Siegel 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: 350 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Paul H. Siegel 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 Paul H. Siegel 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: 60 D-Index — 78th percentile

78% 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

  • 2008 - Member of the National Academy of Engineering For the invention and development of advanced coding techniques for digital recording systems.
  • 1997 - IEEE Fellow For contributions to signal processing and coding for storage systems

Overview

Paul H. Siegel is affiliated with the University of California, San Diego in the United States. Their research spans multiple fields, primarily focusing on computer science and biochemistry, genetics, and molecular biology.

Their main fields of study include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Their work covers several subfields within these disciplines, including:

  • Computer Networks and Communications
  • Molecular Biology
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering

Key topics of Paul H. Siegel's research involve:

  • Cellular Automata and Applications
  • DNA and Biological Computing
  • Error Correcting Code Techniques
  • Advanced Data Storage Technologies
  • Algorithms and Data Compression
  • Advanced biosensing and bioanalysis techniques
  • Advanced Wireless Communication Techniques

Siegel has been published in various venues with multiple contributions, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • IEEE Transactions on Communications
  • IEEE Transactions on Molecular Biological and Multi-Scale Communications
  • IEEE Journal on Selected Areas in Information Theory

Frequent collaborators include:

  • Eitan Yaakobi
  • Simeng Zheng
  • Yi Liu
  • Andreas Lenz
  • Pengfei Huang

Recent notable publications by Paul H. Siegel comprise:

  • "Functional Error Correction for Robust Neural Networks," 2020, IEEE Journal on Selected Areas in Information Theory
  • "Survey for a Decade of Coding for DNA Storage," 2024, IEEE Transactions on Molecular Biological and Multi-Scale Communications
  • "PR-NN: RNN-Based Detection for Coded Partial-Response Channels," 2020, IEEE Journal on Selected Areas in Communications
  • "Rate-Constrained Shaping Codes for Structured Sources," 2020, IEEE Transactions on Information Theory
  • "A New Version of q-Ary Varshamov-Tenengolts Codes With More Efficient Encoders: The Differential VT Codes and The Differential Shifted VT Codes," 2024, IEEE Transactions on Information Theory

Throughout their career, Paul H. Siegel has received recognition including:

  • Member of the National Academy of Engineering (2008) for the invention and development of advanced coding techniques for digital recording systems
  • IEEE Fellow (1997) for contributions to signal processing and coding for storage systems

Best Publications

  • Characterizing flash memory: anomalies, observations, and applications

    Laura M. Grupp;Adrian M. Caulfield;Joel Coburn;Steven Swanson

  • Performance analysis and code optimization of low density parity-check codes on Rayleigh fading channels

    Jilei Hou;P.H. Siegel;L.B. Milstein

  • Capacity-approaching bandwidth-efficient coded modulation schemes based on low-density parity-check codes

    J. Hou;P.H. Siegel;L.B. Milstein;H.D. Pfister

  • Finite-state modulation codes for data storage

    B.H. Marcus;P.H. Siegel;J.K. Wolf

  • On the achievable information rates of finite state ISI channels

    H.D. Pfister;J.B. Soriaga;P.H. Siegel

  • Codes for digital recorders

    K.E. Schouhamer Immink;P.H. Siegel;J.K. Wolf

  • Matched Spectral Null Codes for Partial Response Channels

    R. Karabed;P.H. Siegel

  • Recording codes for digital magnetic storage

    P. Siegel

  • Windowed Decoding of Protograph-Based LDPC Convolutional Codes Over Erasure Channels

    A. R. Iyengar;M. Papaleo;P. H. Siegel;J. K. Wolf

  • Modulation and coding for information storage

    P.H. Siegel;J.K. Wolf

  • VLSI architectures for metric normalization in the Viterbi algorithm

    C.B. Shung;P.H. Siegel;G. Ungerboeck;H.K. Thapar

  • Turbo decoding for PR4: parallel versus serial concatenation

    T. Souvignier;A. Friedmann;M. Oberg;P.H. Siegel

  • Joint message-passing decoding of LDPC codes and partial-response channels

    B.M. Kurkoski;P.H. Siegel;J.K. Wolf

  • Lee-metric BCH codes and their application to constrained and partial-response channels

    R.M. Roth;P.H. Siegel

  • Adaptive Methods for Linear Programming Decoding

    M.-H.N. Taghavi;P.H. Siegel

  • Enhanced belief propagation decoding of polar codes through concatenation.

    Jing Guo;Minghai Qin;Albert Guillen i Fabregas;Paul H. Siegel

  • Error characterization and coding schemes for flash memories

    Eitan Yaakobi;Jing Ma;Laura Grupp;Paul H. Siegel

  • Windowed Decoding of Spatially Coupled Codes

    Aravind R. Iyengar;Paul H. Siegel;Rüdiger L. Urbanke;Jack Keil Wolf

  • Gaussian belief propagation solver for systems of linear equations

    O. Shental;P.H. Siegel;J.K. Wolf;D. Bickson

  • Coding Over Sets for DNA Storage

    Andreas Lenz;Paul H. Siegel;Antonia Wachter-Zeh;Eitan Yaakobi

  • Turbo decoding for partial response channels

    T.V. Souvignier;M. Oberg;P.H. Siegel;R.E. Swanson

  • WITT SPACES: A GEOMETRIC CYCLE THEORY FOR KO-HOMOLOGY

    At Odd Primes;Paul Howard Siegel

  • Finite fields for Computer Scientists and Engineers [Book Review]

    P.H. Siegel

Frequent Co-Authors

Jack K. Wolf
Jack K. Wolf University of California, San Diego
Eitan Yaakobi
Eitan Yaakobi Technion – Israel Institute of Technology
Alexander Vardy
Alexander Vardy University of California, San Diego
Ron M. Roth
Ron M. Roth Technion – Israel Institute of Technology
Henry D. Pfister
Henry D. Pfister Duke University
L.B. Milstein
L.B. Milstein University of California, San Diego
Brian Marcus
Brian Marcus University of British Columbia
Steven Swanson
Steven Swanson University of California, San Diego
Jehoshua Bruck
Jehoshua Bruck California Institute of Technology
Giovanni Emanuele Corazza
Giovanni Emanuele Corazza University of Bologna

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