World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
82
Citations
27849
World Ranking
959
National Ranking
520

Nick Feamster 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 Nick Feamster 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: 352 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Nick Feamster 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 Nick Feamster 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: 82 D-Index — 94th percentile

94% 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

  • 2016 - ACM Fellow For data-driven studies of Internet security and Internet censorship.
  • 2008 - Fellow of Alfred P. Sloan Foundation

Overview

Nick Feamster is affiliated with the University of Chicago in the United States and specializes in computer science with a focus on computer networks and communications. Their work also encompasses related subfields such as artificial intelligence, sociology and political science, electrical and electronic engineering, and computer vision and pattern recognition.

Their research covers a range of topics including:

  • Internet Traffic Analysis and Secure E-voting
  • Network Security and Intrusion Detection
  • Network Traffic and Congestion Control
  • Anomaly Detection Techniques and Applications
  • Privacy, Security, and Data Protection
  • Wireless Networks and Protocols
  • Software-Defined Networks and 5G

Nick Feamster has contributed extensively to academic literature, with notable recent papers such as:

  • "IoT Inspector" (2020), published in the Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "#bias: Measuring the Tweeting Behavior of Propagandists" (2021), published in the Proceedings of the International AAAI Conference on Web and Social Media
  • "Measuring internet speed" (2020), published in Communications of the ACM
  • "An Efficient One-Class SVM for Anomaly Detection in the Internet of Things" (2021), published on arXiv (Cornell University)
  • "NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation" (2024), published in the Proceedings of the ACM on Measurement and Analysis of Computing Systems

Their frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • SSRN Electronic Journal
  • ACM SIGMETRICS Performance Evaluation Review
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Nick Feamster has worked collaboratively with several frequent co-authors, including:

  • Paul Schmitt
  • Francesco Bronzino
  • Shinan Liu
  • Nicole P. Marwell
  • Marshini Chetty

Among their recognitions, Nick Feamster was named an ACM Fellow in 2016, cited for data-driven studies of Internet security and Internet censorship. Earlier, in 2008, they became a Fellow of the Alfred P. Sloan Foundation.

Best Publications

  • Improving network management with software defined networking

    Hyojoon Kim;N. Feamster

  • The road to SDN: an intellectual history of programmable networks

    Nick Feamster;Jennifer Rexford;Ellen Zegura

  • Machine Learning DDoS Detection for Consumer Internet of Things Devices

    Rohan Doshi;Noah Apthorpe;Nick Feamster

  • In VINI veritas: realistic and controlled network experimentation

    Andy Bavier;Nick Feamster;Mark Huang;Larry Peterson

  • Understanding the network-level behavior of spammers

    Anirudh Ramachandran;Nick Feamster

  • How to lease the internet in your spare time

    Nick Feamster;Lixin Gao;Jennifer Rexford

  • Design and implementation of a routing control platform

    Matthew Caesar;Donald Caldwell;Nick Feamster;Jennifer Rexford

  • Building a dynamic reputation system for DNS

    Manos Antonakakis;Roberto Perdisci;David Dagon;Wenke Lee

  • Behavioral clustering of HTTP-based malware and signature generation using malicious network traces

    Roberto Perdisci;Wenke Lee;Nick Feamster

  • Accountable internet protocol (aip)

    David G. Andersen;Hari Balakrishnan;Nick Feamster;Teemu Koponen

  • The case for separating routing from routers

    Nick Feamster;Hari Balakrishnan;Jennifer Rexford;Aman Shaikh

  • User Perceptions of Smart Home IoT Privacy

    Serena Zheng;Noah Apthorpe;Marshini Chetty;Nick Feamster

  • Detecting BGP configuration faults with static analysis

    Nick Feamster;Hari Balakrishnan

  • Broadband internet performance: a view from the gateway

    Srikanth Sundaresan;Walter de Donato;Nick Feamster;Renata Teixeira

  • SDX: a software defined internet exchange

    Arpit Gupta;Laurent Vanbever;Muhammad Shahbaz;Sean Patrick Donovan

  • Method and system for detecting and responding to attacking networks

    David Dagon;Nick Feamster;Wenke Lee;Robert Edmonds

  • Filtering spam with behavioral blacklisting

    Anirudh Ramachandran;Nick Feamster;Santosh Vempala

  • Revealing botnet membership using DNSBL counter-intelligence

    Anirudh Ramachandran;Nick Feamster;David Dagon

  • Procera: a language for high-level reactive network control

    Andreas Voellmy;Hyojoon Kim;Nick Feamster

  • A Smart Home is No Castle: Privacy Vulnerabilities of Encrypted IoT Traffic

    Noah J. Apthorpe;Dillon Reisman;Nick Feamster

  • Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation

    Nick Feamster;Jeff Mogul

  • Notos: Building a Dynamic Reputation System for DNS

    Manos Antonakakis;Roberto Perdisci;David Dagon;Wenke Lee

Frequent Co-Authors

Jennifer Rexford
Jennifer Rexford Princeton University
Renata Teixeira
Renata Teixeira French Institute for Research in Computer Science and Automation - INRIA
Wenke Lee
Wenke Lee Georgia Institute of Technology
Muhammad Shahbaz
Muhammad Shahbaz Beijing Institute of Technology
Vern Paxson
Vern Paxson University of California, Berkeley
Scott Shenker
Scott Shenker University of California, Berkeley
Ramesh Johari
Ramesh Johari Stanford University
Prateek Mittal
Prateek Mittal Princeton University
David G. Andersen
David G. Andersen Carnegie Mellon University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education opens up a range of flexible options for students interested in Computer Science and related fields. Today, many universities offer specialized programs that allow learners to build in-demand skills and advance their careers from anywhere in the world.

If you're drawn to data, an online ms data science program can provide you with a solid foundation in analytics and machine learning, often at a lower cost than traditional programs. For those interested in leadership roles across business sectors, the most affordable online mba programs help professionals boost their management expertise without a heavy financial burden.

Students seeking rapid career advancement can consider the accelerated online construction management degree, which fast-tracks graduates into supervisory positions in an essential industry. Additionally, those looking for efficiency may be interested in the best one year masters programs online, which offer a quick route to a master's degree and open the door to new opportunities in technology and beyond.

Best Scientists Citing Nick Feamster

Trending Scientists

Recently Published Articles