World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
70
Citations
20690
World Ranking
1865
National Ranking
953

Eli Upfal 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 Eli Upfal 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: 265 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Eli Upfal 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 Eli Upfal 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: 70 D-Index — 87th percentile

87% 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

  • 2005 - ACM Fellow For contributions to parallel and stochastic networks.
  • 2002 - IEEE Fellow For contributions to theoretical aspects of computer science and engineering.

Overview

Eli Upfal is affiliated with Brown University in the United States and has contributed extensively to the field of computer science. Their research spans 28 publications primarily focused on artificial intelligence, computer vision and pattern recognition, statistical and nonlinear physics, communication, and statistics and probability.

Their work covers various main topics, including:

  • Complex Network Analysis Techniques
  • Markov Chains and Monte Carlo Methods
  • Machine Learning and Algorithms
  • Data Stream Mining Techniques
  • Graph Theory and Algorithms
  • Social Media and Politics
  • Internet Traffic Analysis and Secure E-voting

Eli Upfal has published in a number of venues, with notable frequent publications in:

  • arXiv (Cornell University)
  • Algorithms
  • Data Mining and Knowledge Discovery
  • ACM Transactions on Knowledge Discovery from Data
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Some recent papers by Eli Upfal include:

  • Distributed Graph Diameter Approximation, 2020, Algorithms
  • Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights, 2022, Data Mining and Knowledge Discovery
  • Tiered Sampling, 2021, ACM Transactions on Knowledge Discovery from Data
  • On the Complexity of Anonymous Communication Through Public Networks, 2021, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds, 2021, arXiv (Cornell University)

Frequent collaborators in Eli Upfal's research include:

  • Shahrzad Haddadan
  • Alessio Mazzetto
  • Cristina Menghini
  • Cyrus Cousins
  • Matteo Riondato

Among the recognitions Eli Upfal has received are:

  • ACM Fellow, 2005, for contributions to parallel and stochastic networks
  • IEEE Fellow, 2002, for contributions to theoretical aspects of computer science and engineering

This profile reflects a research career characterized by contributions to theoretical and applied computer science, with a focus on complex networks, algorithms, and data mining methodologies.

Best Publications

  • Probability and Computing: Randomized Algorithms and Probabilistic Analysis

    Michael Mitzenmacher;Eli Upfal

  • Stochastic models for the Web graph

    R. Kumar;P. Raghavan;S. Rajagopalan;D. Sivakumar

  • Balanced Allocations

    Yossi Azar;Andrei Z. Broder;Anna R. Karlin;Eli Upfal

  • A trade-off between space and efficiency for routing tables

    David Peleg;Eli Upfal

  • Efficient algorithms for all-to-all communications in multiport message-passing systems

    J. Bruck;Ching-Tien Ho;S. Kipnis;E. Upfal

  • The Web as a graph

    Ravi Kumar;Prabhakar Raghavan;Sridhar Rajagopalan;D. Sivakumar

  • De novo discovery of mutated driver pathways in cancer

    Fabio Vandin;Eli Upfal;Benjamin J. Raphael

  • Building low-diameter peer-to-peer networks

    G. Pandurangan;P. Raghavan;E. Upfal

  • Algorithms for detecting significantly mutated pathways in cancer.

    Fabio Vandin;Eli Upfal;Benjamin J. Raphael

  • Multi-armed bandits in metric spaces

    Robert Kleinberg;Aleksandrs Slivkins;Eli Upfal

  • Constructing a perfect matching is in random NC

    R M Karp;E Upfal;A Wigderson

  • Computing with Noisy Information

    Uriel Feige;Prabhakar Raghavan;David Peleg;Eli Upfal

  • Parallel hashing: an efficient implementation of shared memory

    Anna R. Karlin;Eli Upfal

  • Efficient routing in all-optical networks

    Prabhakar Raghavan;Eli Upfal

  • Randomized broadcast in networks

    Uriel Feige;David Peleg;Prabhakar Raghavan;Eli Upfal

  • Building low-diameter P2P networks

    G. Pandurangan;P. Raghavan;E. Upfal

  • Efficient Schemes for Parallel Communication

    Eli Upfal

  • Machine Learning in High Energy Physics Community White Paper

    Kim Albertsson;Piero Altoe;Dustin Anderson;Michael Andrews

  • Using PageRank to Characterize Web Structure

    Gopal Pandurangan;Prabhakar Raghavan;Eli Upfal

  • A simple load balancing scheme for task allocation in parallel machines

    Larry Rudolph;Miriam Slivkin-Allalouf;Eli Upfal

  • Learning-based Query Performance Modeling and Prediction

    Mert Akdere;Ugur Çetintemel;Matteo Riondato;Eli Upfal

  • Probability and computing : an introduction to randomizedalgorithms and probabilistic analysis

    Michael Mitzenmacher;Eli Upfal

Frequent Co-Authors

Prabhakar Raghavan
Prabhakar Raghavan Google (United States)
Andrei Z. Broder
Andrei Z. Broder Google (United States)
Alan Frieze
Alan Frieze Carnegie Mellon University
David Peleg
David Peleg Weizmann Institute of Science
Gopal Pandurangan
Gopal Pandurangan University of Houston
Michael Mitzenmacher
Michael Mitzenmacher Harvard University
Benjamin J. Raphael
Benjamin J. Raphael Princeton University
Avi Wigderson
Avi Wigderson Institute for Advanced Study
Ravi Kumar
Ravi Kumar Google (United States)

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