World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
9385
World Ranking
4398
National Ranking
2053

Wojciech Szpankowski 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 Wojciech Szpankowski 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 379 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Wojciech Szpankowski 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 Wojciech Szpankowski sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 55 D-Index — 71st percentile

71% 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

  • 2004 - IEEE Fellow For contributions to information system performance evaluation.

Overview

Wojciech Szpankowski is affiliated with Purdue University West Lafayette in the United States and has a research focus primarily in the field of Computer Science. Within this domain, their work spans several subfields including Artificial Intelligence, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Management Science and Operations Research, and Molecular Biology.

The scientist's research topics cover a broad spectrum, including Machine Learning and Algorithms, Algorithms and Data Compression, Advanced Bandit Algorithms Research, Complex Network Analysis Techniques, Quantum Computing Algorithms and Architecture, Neural Networks and Applications, and Quantum Information and Cryptography.

Wojciech Szpankowski has contributed to various publication venues with notable frequency in:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • The Electronic Journal of Combinatorics
  • 2022 IEEE International Symposium on Information Theory (ISIT)

Frequent coauthors of Szpankowski include:

  • Mohsen Heidari
  • Changlong Wu
  • Krzysztof Turowski
  • Ananth Grama
  • Gil I. Shamir

Selected recent papers featuring their collaboration or influence include:

  • "Revisiting Parameter Estimation in Biological Networks: Influence of Symmetries" (2020), published in IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • "Toward Physically Realizable Quantum Neural Networks" (2022), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Statistical and computational thresholds for the planted k-densest sub-hypergraph problem" (2020), published on arXiv (Cornell University)
  • "Power-Law Degree Distribution in the Connected Component of a Duplication Graph" (2020), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Expected Worst Case Regret via Stochastic Sequential Covering" (2022), published on arXiv (Cornell University)

Szpankowski has authored scholarly books, including:

  • "Analytic Information Theory" (2023), published by Cambridge University Press

The scientist was recognized as an IEEE Fellow in 2004 with a citation for contributions to information system performance evaluation.

Best Publications

  • Average Case Analysis of Algorithms on Sequences

    Wojciech Szpankowski

  • Pairwise alignment of protein interaction networks.

    Mehmet Koyutürk;Yohan Kim;Umut Topkara;Shankar Subramaniam

  • STABILITY CONDITIONS FOR SOME DISTRIBUTED SYSTEMS: BUFFERED RANDOM ACCESS SYSTEMS

    Wojciech Szpankowski

  • An efficient algorithm for detecting frequent subgraphs in biological networks

    Mehmet Koyutürk;Ananth Grama;Wojciech Szpankowski

  • Analytical depoissonization and its applications

    Philippe Jacquet;Wojciech Szpankowski

  • Reliable detection of episodes in event sequences

    Robert Gwadera;Mikhail J. Atallah;Wojciech Szpankowski

  • On the entropy of a hidden Markov process

    Philippe Jacquet;Gadiel Seroussi;Wojciech Szpankowski

  • Analysis of algorithms

    Philippe Flajolet;Wojciech Szpankowski

  • Asymptotic behavior of the Lempel-Ziv parsing scheme and digital search trees

    Philippe Jacquet;Wojciech Szpankowski

  • A suboptimal lossy data compression based on approximate pattern matching

    T. Luczak;W. Szpankowski

  • On Pattern Frequency Occurrences in a Markovian Sequence

    Mireille Régnier;Wojciech Szpankowski

  • Compression of Graphical Structures: Fundamental Limits, Algorithms, and Experiments

    Yongwook Choi;W. Szpankowski

  • A generalized suffix tree and its (un)expected asymptotic behaviors

    Wojciech Szpankowski

  • Entropy computations via analytic depoissonization

    P. Jacquet;W. Szpankowski

  • On the average redundancy rate of the Lempel-Ziv code

    G. Louchard;W. Szpankowski

  • Precise minimax redundancy and regret

    M. Drmota;W. Szpankowski

  • Autocorrelation on words and its applications: analysis of suffix trees by string-ruler approach

    Philippe Jacquet;Wojciech Szpankowski

  • Detecting conserved interaction patterns in biological networks.

    Mehmet Koyutürk;Yohan Kim;Shankar Subramaniam;Wojciech Szpankowski

  • Analysis of digital tries with Markovian dependency

    P. Jacquet;W. Szpankowski

  • Asymptotic properties of data compression and suffix trees

    W. Szpankowski

Frequent Co-Authors

Ananth Grama
Ananth Grama Purdue University West Lafayette
Helmut Prodinger
Helmut Prodinger Stellenbosch University
Mikhail J. Atallah
Mikhail J. Atallah Purdue University West Lafayette
Stefano Lonardi
Stefano Lonardi University of California, Riverside
Gadiel Seroussi
Gadiel Seroussi University of the Republic
Svante Janson
Svante Janson Uppsala University
Leonidas Georgiadis
Leonidas Georgiadis Aristotle University of Thessaloniki
Alan Frieze
Alan Frieze Carnegie Mellon University
Philippe Flajolet
Philippe Flajolet French Institute for Research in Computer Science and Automation - INRIA
Sergio Verdu
Sergio Verdu Princeton University

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