World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
4872
World Ranking
13964
National Ranking
5549

Eric Keller 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 Eric Keller 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: 104 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Eric Keller 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 Eric Keller 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Eric Keller is affiliated with the University of Colorado Boulder in the United States. Their research primarily spans the field of Computer Science, with a focus on several subfields including Computer Networks and Communications, Artificial Intelligence, Information Systems, and Electrical and Electronic Engineering.

The main topics of their work cover a range of areas related to network technology and computing systems: network security and intrusion detection, internet traffic analysis and secure e-voting, software-defined networks and 5G, software system performance and reliability, IoT and edge/fog computing, anomaly detection techniques and applications, and cloud computing and resource management.

Eric Keller has contributed to multiple academic publications across various platforms. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Network and Service Management
  • 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)
  • ACM Computing Surveys

Some of the recent papers authored or co-authored by Eric Keller are:

  • Software Packet-Level Network Analytics at Cloud Scale, 2021, IEEE Transactions on Network and Service Management
  • Detecting Unseen Anomalies in Network Systems by Leveraging Neural Networks, 2022, IEEE Transactions on Network and Service Management
  • Escra: Event-driven, Sub-second Container Resource Allocation, 2022, 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)
  • Doomed to Repeat with IPv6? Characterization of NAT-centric Security in SOHO Routers, 2023, ACM Computing Surveys
  • Infinity: A Scalable Infrastructure for In-Network Applications, 2021, arXiv (Cornell University)

Their frequent co-authors include Greg Cusack, Maziyar Nazari, Erika Hunhoff, Karl Olson, and Mohammad Hashemi, reflecting collaborations within networking and computing communities.

Best Publications

  • Virtual routers on the move: live router migration as a network-management primitive

    Yi Wang;Eric Keller;Brian Biskeborn;Jacobus van der Merwe

  • Scalable Network Virtualization in Software-Defined Networks

    D. Drutskoy;E. Keller;J. Rexford

  • Eliminating the hypervisor attack surface for a more secure cloud

    Jakub Szefer;Eric Keller;Ruby B. Lee;Jennifer Rexford

  • NoHype: virtualized cloud infrastructure without the virtualization

    Eric Keller;Jakub Szefer;Jennifer Rexford;Ruby B. Lee

  • Virtual routers on the move: live router migration as a network-management primitive

    Unknown

  • A Self-reconfiguring Platform

    Brandon Blodget;Philip James-Roxby;Eric Keller;Scott McMillan

  • The Platform as a service model for networking

    Eric Keller;Jennifer Rexford

  • Stateless Network Functions: Breaking the Tight Coupling of State and Processing

    Murad Kablan;Azzam Alsudais;Eric Keller;Franck Le

  • Run-time routing for programmable logic devices

    Eric R. Keller;Steven A. Guccione;Delon Levi

  • Reconfiguration of the programmable logic of an integrated circuit

    Derek R. Curd;Punit S. Kalra;Richard J. Leblanc;Vincent P. Eck

  • Live migration of an entire network (and its hosts)

    Eric Keller;Soudeh Ghorbani;Matt Caesar;Jennifer Rexford

  • Software-defined energy communication networks: From substation automation to future smart grids

    Adam Cahn;Juan Hoyos;Matthew Hulse;Eric Keller

  • Method and apparatus for defining and modifying connections between logic cores implemented on programmable logic devices

    Eric R. Keller;Cameron D. Patterson

  • Gene Matching Using JBits

    Steven A. Guccione;Eric Keller

  • Applying operating system principles to SDN controller design

    Matthew Monaco;Oliver Michel;Eric Keller

  • Machine Learning-Based Detection of Ransomware Using SDN

    Greg Cusack;Oliver Michel;Eric Keller

  • Stateless Network Functions

    Murad Kablan;Blake Caldwell;Richard Han;Hani Jamjoom

  • Turboflow: information rich flow record generation on commodity switches

    John Sonchack;Adam J. Aviv;Eric Keller;Jonathan M. Smith

  • SDN in wide-area networks: A survey

    Oliver Michel;Eric Keller

  • Enabling Practical Software-defined Networking Security Applications with OFX.

    John Sonchack;Jonathan M. Smith;Adam J. Aviv;Eric Keller

  • JRoute: A Run-Time Routing API for FPGA Hardware

    Eric Keller

  • Transparent, Live Migration of a Software-Defined Network

    Soudeh Ghorbani;Cole Schlesinger;Matthew Monaco;Eric Keller

  • Towards Evaluation of NIDSs in Adversarial Setting

    Mohammad J. Hashemi;Greg Cusack;Eric Keller

  • Scaling Hardware Accelerated Network Monitoring to Concurrent and Dynamic Queries With *Flow.

    John Sonchack;Oliver Michel;Adam J. Aviv;Eric Keller

Frequent Co-Authors

Jennifer Rexford
Jennifer Rexford Princeton University
Jonathan M. Smith
Jonathan M. Smith University of Pennsylvania
Richard Han
Richard Han Macquarie University
Sangtae Ha
Sangtae Ha University of Colorado Boulder
Matthew Caesar
Matthew Caesar University of Illinois at Urbana-Champaign
Jacobus Van der Merwe
Jacobus Van der Merwe University of Utah
Ruby B. Lee
Ruby B. Lee Princeton University
Minlan Yu
Minlan Yu Harvard University
Hongxin Hu
Hongxin Hu University at Buffalo, State University of New York
Stephen M. Trimberger
Stephen M. Trimberger Xilinx (United States)

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