World's Best Scientists 2026 revealed!

Lenore D. Zuck 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 Lenore D. Zuck 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.

Lenore D. Zuck 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 Lenore D. Zuck 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

  • 2014 - ACM Distinguished Member

Overview

Lenore D. Zuck is affiliated with the University of Illinois at Chicago in the United States. Their research mainly spans the broader field of Computer Science, with specific contributions to multiple subfields including Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics, and Software.

The topics frequently addressed in their work encompass Parallel Computing and Optimization Techniques, Formal Methods in Verification, Network Traffic and Congestion Control, Software Testing and Debugging Techniques, Embedded Systems Design Techniques, Internet Traffic Analysis and Secure E-voting, and Wireless Networks and Protocols.

Lenore D. Zuck's recent scholarly output includes papers such as:

  • "Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust" (2020) published in arXiv (Cornell University)
  • "VOC: A Methodology for the Translation Validation of Optimizing Compilers" (2020) published in TUGraz OPEN Library (Graz University of Technology)
  • "Program Correctness through Self-Certification" (2025) published in Communications of the ACM
  • "A Case Study in Analytic Protocol Analysis in ACL2" (2023) published in Electronic Proceedings in Theoretical Computer Science
  • "It Takes a Village: Bridging the Gaps between Current and Formal Specifications for Protocols" (2025) published in Communications of the ACM

Frequent co-authors in their research record include Kenneth L. McMillan, Cristina Nita-Rotaru, Kedar S. Namjoshi, Max von Hippel, and David Basin.

Regarding publication venues, Lenore D. Zuck has contributed multiple works to Communications of the ACM and arXiv (Cornell University), with additional papers appearing in TUGraz OPEN Library (Graz University of Technology) and Electronic Proceedings in Theoretical Computer Science.

Lenore D. Zuck was recognized as an ACM Distinguished Member in 2014, highlighting their standing within the computing research community.

Best Publications

  • The Glory of the Past

    Orna Lichtenstein;Amir Pnueli;Lenore D. Zuck

  • Automatic Deductive Verification with Invisible Invariants

    Amir Pnueli;Sitvanit Ruah;Lenore D. Zuck

  • Parameterized Verification with Automatically Computed Inductive Assertions

    Tamarah Arons;Amir Pnueli;Sitvanit Ruah;Jiazhao Xu

  • Liveness with (0,1, ∞)-Counter Abstraction

    Amir Pnueli;Jessie Xu;Lenore Zuck

  • A little knowledge goes a long way: knowledge-based derivations and correctness proofs for a family of protocols

    Joseph Y. Halpern;Lenore D. Zuck

  • Liveness with (0, 1, infty)-Counter Abstraction

    Amir Pnueli;Jessie Xu;Lenore D. Zuck

  • Verification of multiprocess probabilistic protocols

    Amir Pnueli;Lenore Zuck

  • Bauhaus Linda

    Nicholas Carriero;David Gelernter;Lenore D. Zuck

  • Probabilistic verification

    Amir Pnueli;Lenore D. Zuck

  • Shape analysis by predicate abstraction

    Ittai Balaban;Amir Pnueli;Lenore D. Zuck

  • Reliable communication over unreliable channels

    Yehuda Afek;Hagit Attiya;Alan Fekete;Michael Fischer

  • JTLV: a framework for developing verification algorithms

    Amir Pnueli;Yaniv Sa'ar;Lenore D. Zuck

  • VOC: A Methodology for the Translation Validation of Optimizing Compilers

    Lenore Zuck;Amir Pnueli;Amir Pnueli;Yi Fang;Benjamin Goldberg

  • TVOC: a translation validator for optimizing compilers

    Clark Barrett;Yi Fang;Benjamin Goldberg;Ying Hu

  • Network invariants in action

    Yonit Kesten;Amir Pnueli;Elad Shahar;Lenore Zuck

  • Model checking and abstraction to the aid of parameterized systems (a survey)

    Lenore Zuck;Amir Pnueli

  • The faithfulness of abstract protocol analysis: message authentication

    Joshua D. Guttman;F. Javier Thayer;Lenore D. Zuck

  • Translation and Run-Time Validation of Loop Transformations

    Lenore Zuck;Amir Pnueli;Benjamin Goldberg;Clark Barrett

  • VOC: A translation validator for optimizing compilers

    Lenore D. Zuck;Amir Pnueli;Yi Fang;Benjamin Goldberg

  • Verifying Correctness of Transactional Memories

    Ariel Cohen;John W. O'Leary;Amir Pnueli;Mark R. Tuttle

Frequent Co-Authors

Amir Pnueli
Amir Pnueli Weizmann Institute of Science
Kenneth L. McMillan
Kenneth L. McMillan Microsoft (United States)
V. N. Venkatakrishnan
V. N. Venkatakrishnan University of Illinois at Chicago
A. Prasad Sistla
A. Prasad Sistla University of Illinois at Chicago
Doron Peled
Doron Peled Bar-Ilan University
Nicolas Halbwachs
Nicolas Halbwachs Grenoble Alpes University
Michael J. Fischer
Michael J. Fischer Yale University
Nir Piterman
Nir Piterman University of Gothenburg
Clark Barrett
Clark Barrett Stanford University
David Gelernter
David Gelernter Yale University

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 computer science in the USA opens up a wide range of flexible educational opportunities and dynamic career paths. For students concerned about past academic performance, there are numerous online schools that accept low gpa, making it possible to pursue a tech degree regardless of previous grades.

If you’re seeking faster entry into the workforce, consider enrolling in one of the fastest computer science degree programs. These programs allow you to complete your studies at an accelerated pace, saving both time and money.

Computer science also intersects with other in-demand fields like engineering and environmental science. Students interested in technology-driven environmental solutions may wish to look into an online environmental engineering degree for affordable, flexible study options.

Moreover, a background in science or tech opens up various career opportunities beyond traditional programming roles. Learn more about different job prospects with an environmental background by exploring what can you do with an environmental science degree.

Best Scientists Citing Lenore D. Zuck

Trending Scientists

Recently Published Articles