World's Best Scientists 2026 revealed!
David R. Karger

David R. Karger

D-Index & Metrics

Computer Science

D-Index
102
Citations
76054
World Ranking
329
National Ranking
180

David R. Karger 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 David R. Karger 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: 331 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

David R. Karger 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 David R. Karger 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: 102 D-Index — 98th percentile

98% 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

  • 2019 - Fellow of the American Academy of Arts and Sciences
  • 2009 - ACM Fellow For efficient algorithms for combinatorial optimization problems based on randomization.
  • 1997 - Fellow of Alfred P. Sloan Foundation

Overview

David R. Karger is affiliated with MIT in the United States and has a substantial body of work primarily in the field of computer science, with notable interdisciplinary contributions to social sciences.

Their research encompasses a range of topics including social media and politics, wikis in education and collaboration, misinformation and its impacts, topic modeling, digital games and media, hate speech and cyberbullying detection, and machine learning and data classification.

  • Social Media and Politics
  • Wikis in Education and Collaboration
  • Misinformation and Its Impacts
  • Topic Modeling
  • Digital Games and Media
  • Hate Speech and Cyberbullying Detection
  • Machine Learning and Data Classification

Karger's publications include various papers across multiple reputed venues. Notable recent papers are:

  • "Exploring Lightweight Interventions at Posting Time to Reduce the Sharing of Misinformation on Social Media," 2021, Proceedings of the ACM on Human-Computer Interaction
  • "ARDA," 2020, Proceedings of the VLDB Endowment
  • "Leveraging Structured Trusted-Peer Assessments to Combat Misinformation," 2022, Proceedings of the ACM on Human-Computer Interaction
  • "Fast, Structured Clinical Documentation via Contextual Autocomplete," 2020, arXiv (Cornell University)
  • "A System for Interleaving Discussion and Summarization in Online Collaboration," 2021, Proceedings of the ACM on Human-Computer Interaction

The frequent venues for Karger's research outputs include:

  • Proceedings of the ACM on Human-Computer Interaction
  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • IEEE Transactions on Learning Technologies
  • Journal of Web Semantics

Karger often collaborates with other researchers, with frequent co-authors such as Amy X. Zhang, Kamali Sripathi, Marc T. Facciotti, Michele M. Igo, and Jumana Almahmoud.

Their scholarly focus extends within computer science subfields including artificial intelligence, communication, sociology and political science, human-computer interaction, and computational theory and mathematics.

  • Artificial Intelligence
  • Communication
  • Sociology and Political Science
  • Human-Computer Interaction
  • Computational Theory and Mathematics

David R. Karger's contributions have been recognized through several honors including being named a Fellow of the American Academy of Arts and Sciences in 2019, an ACM Fellow in 2009 for work on efficient algorithms for combinatorial optimization problems based on randomization, and a Fellow of the Alfred P. Sloan Foundation in 1997.

Best Publications

  • Chord: A scalable peer-to-peer lookup service for internet applications

    Ion Stoica;Robert Morris;David Karger;M. Frans Kaashoek

  • Chord: a scalable peer-to-peer lookup protocol for Internet applications

    Ion Stoica;Robert Morris;David Liben-Nowell;David R. Karger

  • Consistent hashing and random trees: distributed caching protocols for relieving hot spots on the World Wide Web

    David Karger;Eric Lehman;Tom Leighton;Rina Panigrahy

  • A Random Linear Network Coding Approach to Multicast

    T. Ho;M. Medard;R. Koetter;D.R. Karger

  • Scatter/Gather: a cluster-based approach to browsing large document collections

    Douglass R. Cutting;David R. Karger;Jan O. Pedersen;John W. Tukey

  • Wide-area cooperative storage with CFS

    Frank Dabek;M. Frans Kaashoek;David Karger;Robert Morris

  • A scalable location service for geographic ad hoc routing

    Jinyang Li;John Jannotti;Douglas S. J. De Couto;David R. Karger

  • Soylent: a word processor with a crowd inside

    Michael S. Bernstein;Greg Little;Robert C. Miller;Björn Hartmann

  • The benefits of coding over routing in a randomized setting

    T. Ho;R. Koetter;M. Medard;D.R. Karger

  • Tackling the poor assumptions of naive bayes text classifiers

    Jason D. M. Rennie;Lawrence Shih;Jaime Teevan;David R. Karger

  • Content delivery network (CDN) content server request handling mechanism with metadata framework support

    Joel M. Wein;John Joseph Kloninger;Mark C. Nottingham;David R. Karger

  • Koorde: A Simple Degree-Optimal Distributed Hash Table.

    M. Frans Kaashoek;David R. Karger

  • Polynomial Time Approximation Schemes for Dense Instances of NP-Hard Problems

    Sanjeev Arora;David Karger;Marek Karpinski

  • The perfect search engine is not enough: a study of orienteering behavior in directed search

    Jaime Teevan;Christine Alvarado;Mark S. Ackerman;David R. Karger

  • Twitinfo: aggregating and visualizing microblogs for event exploration

    Adam Marcus;Michael S. Bernstein;Osama Badar;David R. Karger

  • On Randomized Network Coding

    Tracey Ho;Muriel Médard;Jun Shi;Michelle Effros

  • Simple Efficient Load-Balancing Algorithms for Peer-to-Peer Systems

    David R. Karger;Matthias Ruhl

  • Looking up data in P2P systems

    Hari Balakrishnan;M. Frans Kaashoek;David Karger;Robert Morris

  • Iterative Learning for Reliable Crowdsourcing Systems

    David R. Karger;Sewoong Oh;Devavrat Shah

  • Minimum-cost multicast over coded packet networks

    Desmond S. Lun;Niranjan Ratnakar;Muriel Médard;Ralf Koetter

  • A Random Linear Network Coding Approach to

    Tracey Ho;Muriel Médard;Ralf Koetter;David R. Karger

Frequent Co-Authors

Michael S. Bernstein
Michael S. Bernstein Stanford University
Max Van Kleek
Max Van Kleek University of Oxford
mc schraefel
mc schraefel University of Southampton
Tracey Ho
Tracey Ho California Institute of Technology
Michelle Effros
Michelle Effros California Institute of Technology
Clifford Stein
Clifford Stein Columbia University

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