World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
9994
World Ranking
9113
National Ranking
3873

James Aspnes 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 James Aspnes 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: 175 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

James Aspnes 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 James Aspnes 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

James Aspnes is affiliated with Yale University in the United States and has contributed to the field of computer science, focusing particularly on distributed systems and fault tolerance.

Their research spans several main topics including:

  • Distributed systems and fault tolerance
  • DNA and Biological Computing
  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Wireless Communication Security Techniques
  • Formal Methods in Verification
  • Logic, Reasoning, and Knowledge

Aspnes's work covers multiple subfields within computer science such as:

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

They have published extensively in prominent venues including:

  • arXiv (Cornell University)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • SIAM Journal on Computing
  • Dagstuhl Research Online Publication Server
  • IEEE/ACM Transactions on Networking

Among recent papers authored or coauthored by Aspnes are:

  • Coordination Through Stochastic Channels, 2025, Dagstuhl Research Online Publication Server
  • Message Complexity of Population Protocols, 2020, arXiv (Cornell University)

Other frequently cited relevant publications were authored by frequent collaborators:

  • Message complexity of population protocols, 2020, arXiv (Cornell University)
  • Why Extension-Based Proofs Fail, 2023, SIAM Journal on Computing
  • Message Complexity of Population Protocols, 2020, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Optimizing in the Dark: Learning Optimal Network Resource Reservation Through a Simple Request Interface, 2021, IEEE/ACM Transactions on Networking

James Aspnes has worked closely with several coauthors, including:

  • Talley Amir
  • David Doty
  • Mahsa Eftekhari
  • Eric Severson
  • John Lazarsfeld

Additionally, Aspnes has contributed to book publications through Cornell University, where two notable titles include:

  • Notes on Theory of Distributed Systems, 2020
  • Notes on Randomized Algorithms, 2020

Best Publications

  • Skip graphs

    James Aspnes;Gauri Shah

  • A Theory of Network Localization

    J. Aspnes;T. Eren;D.K. Goldenberg;A.S. Morse

  • Computation in networks of passively mobile finite-state sensors

    Dana Angluin;James Aspnes;Zoë Diamadi;Michael J. Fischer

  • Skip graphs

    James Aspnes;Gauri Shah

  • On-line routing of virtual circuits with applications to load balancing and machine scheduling

    James Aspnes;Yossi Azar;Amos Fiat;Serge Plotkin

  • The computational power of population protocols

    Dana Angluin;James Aspnes;David Eisenstat;Eric Ruppert

  • Fast randomized consensus using shared memory

    James Aspnes;M. Herlihy

  • An Introduction to Population Protocols

    James Aspnes;Eric Ruppert

  • Fast computation by population protocols with a leader

    Dana Angluin;James Aspnes;David Eisenstat

  • On the Computational Complexity of Sensor Network Localization

    James Aspnes;David Kiyoshi Goldenberg;Yang Richard Yang

  • The expressive power of voting polynomials

    James Aspnes;Richard Beigel;Merrick L. Furst;Steven Rudich

  • Inoculation strategies for victims of viruses and the sum-of-squares partition problem

    James Aspnes;Kevin Chang;Aleksandr Yampolskiy

  • A simple population protocol for fast robust approximate majority

    Dana Angluin;James Aspnes;David Eisenstat

  • Self-stabilizing population protocols

    Dana Angluin;James Aspnes;Michael J. Fischer;Hong Jiang

  • On-line load balancing with applications to machine scheduling and virtual circuit routing

    James Aspnes;Yossi Azar;Amos Fiat;Serge Plotkin

  • Randomized protocols for asynchronous consensus

    James Aspnes

  • Counting networks

    James Aspnes;Maurice Herlihy;Nir Shavit

  • Stably computable predicates are semilinear

    Dana Angluin;James Aspnes;David Eisenstat

  • An Introduction to Population Protocols.

    James Aspnes;Eric Ruppert

  • Wait-free data structures in the asynchronous PRAM model

    J. Aspnes;M. Herlihy

  • Fault-tolerant routing in peer-to-peer systems

    James Aspnes;Zoë Diamadi;Gauri Shah

Frequent Co-Authors

Dana Angluin
Dana Angluin Yale University
Dan Alistarh
Dan Alistarh Institute of Science and Technology Austria
Michael J. Fischer
Michael J. Fischer Yale University
Hagit Attiya
Hagit Attiya Technion – Israel Institute of Technology
Ming-Yang Kao
Ming-Yang Kao Northwestern University
Maurice Herlihy
Maurice Herlihy Brown University
Seth Gilbert
Seth Gilbert National University of Singapore
Joan Feigenbaum
Joan Feigenbaum Yale University
Miklós Ajtai
Miklós Ajtai Hungarian Academy of Sciences
Junhyong Kim
Junhyong Kim University of Pennsylvania

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