World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
15311
World Ranking
4724
National Ranking
2196

Michael Kaminsky 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 Kaminsky 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: 101 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Michael Kaminsky 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 Kaminsky 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Michael Kaminsky is affiliated with Carnegie Mellon University in the United States and specializes in the field of computer science. Their research portfolio spans several subfields, prominently featuring work in computer networks and communications, artificial intelligence, hardware and architecture, and computational theory and mathematics.

The scientist's recent publications include studies that explore advanced data storage technologies and network-related optimizations. These published works appeared in various academic venues and cover a range of topics related to database systems, preemptible functions, and data compression techniques. Notable recent papers are:

  • Succinct Range Filters, 2020, ACM Transactions on Database Systems
  • Lightweight Preemptible Functions, 2022, OPAL (Open@LaTrobe) (La Trobe University)
  • Succinct Range Filters, 2021, Communications of the ACM
  • Order-Preserving Key Compression for In-Memory Search Trees, 2020, arXiv (Cornell University)

The scientist collaborates regularly with several coauthors, including David G. Andersen, Huanchen Zhang, Kimberly Keeton, Andrew Pavlo, and Hyeontaek Lim. These collaborative efforts are reflected in multiple publications across their research career.

Michael Kaminsky has published in a selection of scholarly venues consistent with their research interests. The frequent venues for their work include:

  • ACM Transactions on Database Systems
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Communications of the ACM
  • arXiv (Cornell University)

Their research topics cover a broad spectrum of technical issues linked to network and data systems. Key research themes include:

  • Advanced Data Storage Technologies
  • Caching and Content Delivery
  • Network Packet Processing and Optimization
  • Internet Traffic Analysis and Secure E-voting
  • Parallel Computing and Optimization Techniques
  • Logic, Programming, and Type Systems
  • Cellular Automata and Applications

Best Publications

  • SybilGuard: defending against sybil attacks via social networks

    Haifeng Yu;Michael Kaminsky;Phillip B. Gibbons;Abraham Flaxman

  • SybilLimit: A Near-Optimal Social Network Defense against Sybil Attacks

    Haifeng Yu;P.B. Gibbons;M. Kaminsky;Feng Xiao

  • c-Through: part-time optics in data centers

    Guohui Wang;David G. Andersen;Michael Kaminsky;Konstantina Papagiannaki

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

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

  • FAWN: a fast array of wimpy nodes

    David G. Andersen;Jason Franklin;Michael Kaminsky;Amar Phanishayee

  • Cuckoo Filter: Practically Better Than Bloom

    Bin Fan;Dave G. Andersen;Michael Kaminsky;Michael D. Mitzenmacher

  • Using RDMA efficiently for key-value services

    Anuj Kalia;Michael Kaminsky;David G. Andersen

  • Separating key management from file system security

    David Mazières;Michael Kaminsky;M. Frans Kaashoek;Emmett Witchel

  • MICA: a holistic approach to fast in-memory key-value storage

    Hyeontaek Lim;Dongsu Han;David G. Andersen;Michael Kaminsky

  • SILT: a memory-efficient, high-performance key-value store

    Hyeontaek Lim;Bin Fan;David G. Andersen;Michael Kaminsky

  • There is more consensus in Egalitarian parliaments

    Iulian Moraru;David G. Andersen;Michael Kaminsky

  • MemC3: compact and concurrent MemCache with dumber caching and smarter hashing

    Bin Fan;David G. Andersen;Michael Kaminsky

  • SybilGuard: defending against sybil attacks via social networks

    Haifeng Yu;Michael Kaminsky;Phillip B. Gibbons;Abraham D. Flaxman

  • Stronger semantics for low-latency geo-replicated storage

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

  • Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements

    Eben S. Cross;Leah R. Williams;David K. Lewis;Gregory R. Magoon

  • FaSST: fast, scalable and simple distributed transactions with two-sided (RDMA) datagram RPCs

    Anuj Kalia;Michael Kaminsky;David G. Andersen

  • SybilLimit: a near-optimal social network defense against sybil attacks

    Haifeng Yu;Phillip B. Gibbons;Michael Kaminsky;Feng Xiao

  • Design guidelines for high performance RDMA systems

    Anuj Kalia;Michael Kaminsky;David G. Andersen

  • Algorithmic improvements for fast concurrent Cuckoo hashing

    Xiaozhou Li;David G. Andersen;Michael Kaminsky;Michael J. Freedman

  • RE: reliable email

    Scott Garriss;Michael Kaminsky;Michael J. Freedman;Brad Karp

Frequent Co-Authors

David G. Andersen
David G. Andersen Carnegie Mellon University
Srinivasan Seshan
Srinivasan Seshan Carnegie Mellon University
Konstantina Papagiannaki
Konstantina Papagiannaki Google (United States)
Michael J. Freedman
Michael J. Freedman Princeton University
Phillip B. Gibbons
Phillip B. Gibbons Carnegie Mellon University
Vijay K. Vasudevan
Vijay K. Vasudevan Google (United States)
Andrew Pavlo
Andrew Pavlo Carnegie Mellon University
Michael Kozuch
Michael Kozuch Intel (United States)
Dongsu Han
Dongsu Han Korea Advanced Institute of Science and Technology
David Mazières
David Mazières Stanford University

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