World's Best Scientists 2026 revealed!
Michael J. Freedman

Michael J. Freedman

D-Index & Metrics

Computer Science

D-Index
56
Citations
19303
World Ranking
3971
National Ranking
1889

Michael J. Freedman 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 Michael J. Freedman 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: 135 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Michael J. Freedman 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 Michael J. Freedman 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: 56 D-Index — 72nd percentile

72% 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 - ACM Fellow For contributions to robust distributed systems for the modern cloud
  • 2018 - ACM Grace Murray Hopper Award For the design and deployment of self-organizing geo-distributed systems.
  • 2011 - Fellow of Alfred P. Sloan Foundation

Overview

Michael J. Freedman is a researcher affiliated with Princeton University in the United States. Their work spans across multiple fields with a focus on mathematics and computer science. The research contributions cover a range of topics including geometry and topology, mathematical physics, hardware and architecture, applied mathematics, as well as computer networks and communications.

Their expertise is reflected in both main and subfields of study:

  • Mathematics
  • Computer Science

  • Geometry and Topology
  • Mathematical Physics
  • Hardware and Architecture
  • Applied Mathematics
  • Computer Networks and Communications

The work encompasses several main topics of research interest, which include:

  • Geometric and Algebraic Topology
  • Parallel Computing and Optimization Techniques
  • Algebraic Geometry and Number Theory
  • Mathematical Dynamics and Fractals
  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Geometric Analysis and Curvature Flows

Michael J. Freedman has authored multiple papers published in diverse academic venues. Recent publications include:

  • "VirtualFlow: Decoupling Deep Learning Models from the Underlying Hardware" (2020), arXiv (Cornell University)
  • "Uniqueness in Haken's Theorem" (2022), The Michigan Mathematical Journal
  • "Non-separating immersions of spheres and Bing houses" (2021), Mathematical Research Letters
  • "Approximation rigidity and h-principle for Bing spines" (2021), Mathematical Research Letters
  • "Efficient Compactions Between Storage Tiers with PrismDB" (2020), arXiv (Cornell University)

The frequent publication venues include:

  • arXiv (Cornell University)
  • Mathematical Research Letters
  • The Michigan Mathematical Journal

Frequent collaborators contributing to research include:

  • T. Tâm Nguyên Phan
  • Martin Scharlemann
  • Andrew Or
  • Haoyu Zhang
  • Ashwini Raina

Their academic recognition involves the receipt of awards such as:

  • ACM Fellow (2019) for contributions to robust distributed systems for the modern cloud
  • ACM Grace Murray Hopper Award (2018) for the design and deployment of self-organizing geo-distributed systems
  • Fellow of Alfred P. Sloan Foundation (2011)

Best Publications

  • Efficient private matching and set intersection

    Michael J. Freedman;Kobbi Nissim;Benny Pinkas

  • Ethane: taking control of the enterprise

    Martin Casado;Michael J. Freedman;Justin Pettit;Jianying Luo

  • Tarzan: a peer-to-peer anonymizing network layer

    Michael J. Freedman;Robert Morris

  • Scalable flow-based networking with DIFANE

    Minlan Yu;Jennifer Rexford;Michael J. Freedman;Jia Wang

  • Frenetic: a network programming language

    Nate Foster;Rob Harrison;Michael J. Freedman;Christopher Monsanto

  • Don't settle for eventual: scalable causal consistency for wide-area storage with COPS

    Wyatt Lloyd;Michael J. Freedman;Michael Kaminsky;David G. Andersen

  • SANE: a protection architecture for enterprise networks

    Martin Casado;Tal Garfinkel;Aditya Akella;Michael J. Freedman

  • Democratizing content publication with coral

    Michael J. Freedman;Eric Freudenthal;David Mazières

  • The free haven project: distributed anonymous storage service

    Roger Dingledine;Michael J. Freedman;David Molnar

  • Blockstack: a Global naming and storage system secured by blockchains

    Muneeb Ali;Jude Nelson;Ryan Shea;Michael J. Freedman

  • Keyword search and oblivious pseudorandom functions

    Michael J. Freedman;Yuval Ishai;Benny Pinkas;Omer Reingold

  • On-the-fly verification of rateless erasure codes for efficient content distribution

    M.N. Krohn;M.J. Freedman;D. Mazieres

  • Secure network switching infrastructure

    Martin Casado;Nick Mckeown;Dan Boneh;Michael J. Freedman

  • SPORC: group collaboration using untrusted cloud resources

    Ariel J. Feldman;William P. Zeller;Michael J. Freedman;Edward W. Felten

  • Stronger semantics for low-latency geo-replicated storage

    Wyatt Lloyd;Michael J. Freedman;Michael Kaminsky;David G. Andersen

  • Performance isolation and fairness for multi-tenant cloud storage

    David Shue;Michael J. Freedman;Anees Shaikh

  • Live video analytics at scale with approximation and delay-tolerance

    Haoyu Zhang;Ganesh Ananthanarayanan;Peter Bodik;Matthai Philipose

  • DONAR: decentralized server selection for cloud services

    Patrick Wendell;Joe Wenjie Jiang;Michael J. Freedman;Jennifer Rexford

  • Languages for software-defined networks

    N. Foster;A. Guha;M. Reitblatt;A. Story

  • CONIKS: bringing key transparency to end users

    Marcela S. Melara;Aaron Blankstein;Joseph Bonneau;Edward W. Felten

Frequent Co-Authors

Jennifer Rexford
Jennifer Rexford Princeton University
David Mazières
David Mazières Stanford University
Michael Kaminsky
Michael Kaminsky Carnegie Mellon University
David G. Andersen
David G. Andersen Carnegie Mellon University
Martin Casado
Martin Casado DELL (United States)
Scott Shenker
Scott Shenker University of California, Berkeley
Edward W. Felten
Edward W. Felten Princeton University
Ramesh Johari
Ramesh Johari Stanford University
Benny Pinkas
Benny Pinkas Bar-Ilan University
Nick McKeown
Nick McKeown Stanford University

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