World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
19645
World Ranking
7744
National Ranking
3344

Martin Casado 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 Martin Casado 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: 85 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Martin Casado 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 Martin Casado 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: 43 D-Index — 46th percentile

46% 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

  • 2012 - ACM Grace Murray Hopper Award For his work creating the movement of Software Defined Networking (SDN), a new paradigm in the research and practice of computer networking that provides a software alternative to hardware-based network components.

Overview

Martin Casado is affiliated with DELL in the United States. Their research primarily focuses on computer science, particularly in areas concerning computer networks and communications as well as information systems. Within these fields, Casado's work includes topics such as IoT and Edge/Fog Computing, blockchain technology applications and security, cloud computing and resource management, and distributed and parallel computing systems.

Casado has contributed to several recent publications. Notable papers include:

  • Cloud Infrastructure Management in the Age of AI Agents, 2025, ACM SIGOPS Operating Systems Review
  • GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications, 2024, arXiv (Cornell University)
  • Cloud Infrastructure Management in the Age of AI Agents, 2025, arXiv (Cornell University)

Their frequent coauthors include Zhenning Yang, Archit Bhatnagar, Yiming Qiu, T. Miao, and Patrick Tser Jern Kon. These collaborations have resulted in multiple publications across several venues, with a concentration in arXiv (Cornell University) and the ACM SIGOPS Operating Systems Review.

  • arXiv (Cornell University)
  • ACM SIGOPS Operating Systems Review

A significant recognition in Casado's career is the ACM Grace Murray Hopper Award, received in 2012. The award citation highlights their work in creating the movement of Software Defined Networking (SDN), which introduced a software-based alternative to traditional hardware network components.

Best Publications

  • NOX: towards an operating system for networks

    Natasha Gude;Teemu Koponen;Justin Pettit;Ben Pfaff

  • Onix: a distributed control platform for large-scale production networks

    Teemu Koponen;Martin Casado;Natasha Gude;Jeremy Stribling

  • Ethane: taking control of the enterprise

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

  • The design and implementation of open vSwitch

    Ben Pfaff;Justin Pettit;Teemu Koponen;Ethan J. Jackson

  • FlowVisor: A Network Virtualization Layer

    Rob Sherwood;Glen Gibb;Kok-Kiong Yap;Guido Appenzeller

  • Extending Networking into the Virtualization Layer.

    Ben Pfaff;Justin Pettit;Keith Amidon;Martín Casado

  • Managing a network by controlling edge switching elements; using standard interior switches

    Teemu Koponen;Martin Casado

  • On controller performance in software-defined networks

    Amin Tootoonchian;Sergey Gorbunov;Yashar Ganjali;Martin Casado

  • SANE: a protection architecture for enterprise networks

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

  • Can the production network be the testbed

    Rob Sherwood;Glen Gibb;Kok-Kiong Yap;Guido Appenzeller

  • Network virtualization in multi-tenant datacenters

    Teemu Koponen;Keith Amidon;Peter Balland;Martín Casado

  • Method and apparatus for implementing and managing virtual switches

    Martin Casado;Paul S. Ingram;Keith Eric Amidon;Peter J. Balland

  • Applying NOX to the Datacenter.

    Arsalan Tavakoli;Martín Casado;Teemu Koponen;Scott Shenker

  • Method and apparatus for implementing and managing distributed virtual switches in several hosts and physical forwarding elements

    Martin Casado;Paul Ingram;Keith Eric Amidon;Peter J. Balland

  • Practical declarative network management

    Timothy L. Hinrichs;Natasha S. Gude;Martin Casado;John C. Mitchell

  • Virtualizing the network forwarding plane

    Martín Casado;Teemu Koponen;Rajiv Ramanathan;Scott Shenker

  • Secure network switching infrastructure

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

  • Fabric: a retrospective on evolving SDN

    Martin Casado;Teemu Koponen;Scott Shenker;Amin Tootoonchian

  • Network operating system for managing and securing networks

    Martin Casado;Scott Shenker;Keith Eric Amidon;Peter J. Balland

  • Software-defined internet architecture: decoupling architecture from infrastructure

    Barath Raghavan;Martín Casado;Teemu Koponen;Sylvia Ratnasamy

Frequent Co-Authors

Teemu Koponen
Teemu Koponen DELL (United States)
Scott Shenker
Scott Shenker University of California, Berkeley
Nick McKeown
Nick McKeown Stanford University
Michael J. Freedman
Michael J. Freedman Princeton University
Dan Boneh
Dan Boneh Stanford University
Aditya Akella
Aditya Akella The University of Texas at Austin
Vern Paxson
Vern Paxson University of California, Berkeley
Sylvia Ratnasamy
Sylvia Ratnasamy University of California, Berkeley
Jennifer Rexford
Jennifer Rexford Princeton University

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