World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5928
World Ranking
8944
National Ranking
544

Leszek Gasieniec 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 Leszek Gasieniec 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: 259 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Leszek Gasieniec 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 Leszek Gasieniec 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Leszek Gasieniec is affiliated with the University of Liverpool in the United Kingdom and specializes in computer science. Their research covers various subfields including computer networks and communications, artificial intelligence, and computational theory and mathematics. Additional areas of study include statistical and nonlinear physics as well as sociology and political science.

Gasieniec's work addresses multiple main topics such as distributed systems and fault tolerance, privacy-preserving technologies in data, and complexity and algorithms in graphs. Further topics of research include cryptography and data security, advanced database systems and queries, opportunistic and delay-tolerant networks, and mobile ad hoc networks.

Recent papers authored or co-authored by Gasieniec include:

  • "Predicting the Availability of Hematopoietic Stem Cell Donors Using Machine Learning," 2020, published in Biology of Blood and Marrow Transplantation
  • "Enhanced Phase Clocks, Population Protocols, and Fast Space Optimal Leader Election," 2020, published in Journal of the ACM
  • "Perpetual maintenance of machines with different urgency requirements," 2023, published in Journal of Computer and System Sciences
  • "On the curve complexity of 3-colored point-set embeddings," 2020, published in Theoretical Computer Science
  • "Efficient assignment of identities in anonymous populations," 2025, published in Information and Computation

Frequent co-authors collaborating with Gasieniec are Christos Levcopoulos, Grzegorz Stachowiak, Andrzej Lingas, Jesper Jansson, and Ralf Klasing.

The scientist has published extensively in venues such as arXiv (Cornell University), Journal of Computer and System Sciences, Information and Computation, SSRN Electronic Journal, and Algorithmica.

Gasieniec has contributed to book publications through Springer Science+Business Media, including titles like SOFSEM 2023: Theory and Practice of Computer Science (2022) and Algorithms for Sensor Systems (2021).

Best Publications

  • Fast broadcasting and gossiping in radio networks

    Marek Chrobak;Leszek Gasieniec;Wojciech Rytter

  • Deterministic broadcasting in ad hoc radio networks

    Bogdan S. Chlebus;Leszek Gasieniec;Alan Gibbons;Andrzej Pelc

  • Fast broadcasting and gossiping in radio networks

    M. Chrobak;L. Gasieniec;W. Rytter

  • Speeding up two string-matching algorithms

    Maxime Crochemore;Artur Czumaj;Leszek Gasieniec;Stefan Jarominek

  • Gathering few fat mobile robots in the plane

    Jurek Czyzowicz;Leszek Gasieniec;Andrzej Pelc

  • Optimal Two-Stage Algorithms for Group Testing Problems

    Annalisa De Bonis;Leszek Gasieniec;Ugo Vaccaro

  • Collective tree exploration

    Pierre Fraigniaud;Leszek Gąsieniec;Dariusz R. Kowalski;Andrzej Pelc

  • Faster communication in known topology radio networks

    Leszek Gąsieniec;David Peleg;Qin Xin

  • Faster communication in known topology radio networks

    Leszek Gasieniec;David Peleg;Qin Xin

  • Deterministic Radio Broadcasting

    Bogdan S. Chlebus;Leszek Gasieniec;Anna Östlin;John Michael Robson

  • Efficient algorithms for Lempel-Ziv encoding

    Leszek Gasieniec;Marek Karpinski;Wojciech Plandowski;Wojciech Rytter

  • The Wakeup Problem in Synchronous Broadcast Systems

    Leszek Gasieniec;Andrzej Pelc;David Peleg

  • Collective tree exploration

    Pierre Fraigniaud;Leszek Gasieniec;Dariusz R. Kowalski;Dariusz R. Kowalski;Andrzej Pelc

  • Episode Matching

    Gautam Das;Rudolf Fleischer;Leszek Gasieniec;Dimitrios Gunopulos

  • Boundary patrolling by mobile agents with distinct maximal speeds

    Jurek Czyzowicz;Leszek Gąsieniec;Adrian Kosowski;Evangelos Kranakis

  • Fast practical multi-pattern matching

    Maxime Crochemore;Artur Czumaj;Leszek Gasieniec;Thierry Lecroq

  • Evacuating Robots via Unknown Exit in a Disk

    Jurek Czyzowicz;Leszek Gąsieniec;Thomas Gorry;Evangelos Kranakis

  • Gossiping with Bounded Size Messages in ad hoc Radio Networks

    Malin Christersson;Leszek Gasieniec;Andrzej Lingas

  • Almost Optimal Asynchronous Rendezvous in Infinite Multidimensional Grids

    Unknown

  • Group Search on the Line

    Marek Chrobak;Leszek Gąsieniec;Thomas Gorry;Russell Martin

  • Tree exploration with logarithmic memory

    Leszek Gasieniec;Andrzej Pelc;Tomasz Radzik;Xiaohui Zhang

  • Tree exploration with logarithmic memory

    Leszek Gasieniec;Andrzej Pelc;Tomasz Radzik;Xiaohui Zhang

  • Gossiping with Unit Messages in Known Radio Networks

    Leszek Gasieniec;Igor Potapov

  • The wake-up problem in multi-hop radio networks

    Marek Chrobak;Leszek Gasieniec;Dariusz Kowalski

  • Gathering few fat mobile robots in the plane

    Jurek Czyzowicz;Leszek Gąsieniec;Andrzej Pelc

  • Collective Tree Exploration

    Pierre Fraigniaud;Leszek Gasieniec;Dariusz Kowalski;Andrzej Pelc

  • Proceedings of the eighteenth annual ACM-SIAM symposium on discrete algorithms

    Leszek Gasieniec;Pelc Andrzej;Tomasz Radzik;Xiaohui Zhang

Frequent Co-Authors

Wojciech Rytter
Wojciech Rytter University of Warsaw
Andrzej Pelc
Andrzej Pelc Université du Québec en Outaouais
Dariusz R. Kowalski
Dariusz R. Kowalski Augusta University
Evangelos Kranakis
Evangelos Kranakis Carleton University
Artur Czumaj
Artur Czumaj University of Warwick
Marek Chrobak
Marek Chrobak University of California, Riverside
Paul G. Spirakis
Paul G. Spirakis University of Liverpool
Maxime Crochemore
Maxime Crochemore King's College London
Tomasz Radzik
Tomasz Radzik King's College London
David Peleg
David Peleg Weizmann Institute of Science

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online study options can open multiple doors in Computer Science and related fields. Many universities now offer affordable online degree programs that allow students to earn respected qualifications without substantial financial strain. These programs are ideal for those balancing education with work or family commitments.

Admissions requirements are also broadening, with some online graduate schools with low gpa requirements making advanced education accessible to more learners. This flexibility empowers non-traditional students and career changers to pursue their goals in tech.

Graduates with a background in Computer Science have many career options but can also branch into related disciplines. For example, those interested in environmental technology or data science will find useful insights in what can you do with an environmental science major. The tech sector values interdisciplinary skills.

If you’re eager to join the workforce quickly, consider a online computer science degree in an accelerated format. These fast-paced programs help motivated students earn their degree in less time, making it easier to keep pace with industry needs.

Best Scientists Citing Leszek Gasieniec

Trending Scientists

Recently Published Articles