World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
80
Citations
23696
World Ranking
1091
National Ranking
584

Keith W. Ross 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 Keith W. Ross 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: 259 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Keith W. Ross 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 Keith W. Ross 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: 80 D-Index — 93rd percentile

93% 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 Fellow For contributions to the design and modeling of computer networks and Internet applications.

Overview

Keith W. Ross is affiliated with New York University in the United States. Their research primarily focuses on computer science, with a strong emphasis on artificial intelligence, management science and operations research, information systems, computer vision and pattern recognition, and cognitive neuroscience.

The scientist's work covers various topics including reinforcement learning in robotics, advanced bandit algorithms research, machine learning and extreme learning machines (ELM), spam and phishing detection, internet traffic analysis and secure electronic voting, hate speech and cyberbullying detection, and machine learning and algorithms.

Keith W. Ross has published extensively, with frequent contributions to the following publication venues:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media

Recent papers authored or coauthored by the researcher include:

  • "First Order Constrained Optimization in Policy Space," 2020, arXiv (Cornell University)
  • "Randomized Ensembled Double Q-Learning: Learning Fast Without a Model," 2021, arXiv (Cornell University)
  • "On-Policy Deep Reinforcement Learning for the Average-Reward Criterion," 2021, arXiv (Cornell University)
  • "On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning," 2020, arXiv (Cornell University)
  • "VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning," 2022, arXiv (Cornell University)

Their frequent coauthors include Che Wang, Zixuan Dong, Xinyue Chen, Zijian Zhou, and Yiming Zhang, suggesting ongoing collaboration in related research areas.

Keith W. Ross has been recognized as an ACM Fellow in 2012 for contributions to the design and modeling of computer networks and Internet applications.

Best Publications

  • Computer Networking: A Top-Down Approach Featuring the Internet

    James F. Kurose;Keith W. Ross

  • A Measurement Study of a Large-Scale P2P IPTV System

    Xiaojun Hei;Chao Liang;Jian Liang;Yong Liu

  • Multiservice Loss Models for Broadband Telecommunication Networks

    Keith W. Ross;Peter J. Hancock

  • Computer Networking: A Top-Down Approach

    James F. Kurose;Keith W. Ross

  • Can internet video-on-demand be profitable?

    Cheng Huang;Jin Li;Keith W. Ross

  • Object replication strategies in content distribution networks

    Jussi Kangasharju;James Roberts;Keith W. Ross

  • Pollution in P2P file sharing systems

    J. Liang;R. Kumar;Y. Xi;K.W. Ross

  • Video on demand over ATM: constant-rate transmission and transport

    J.M. McManus;K.W. Ross

  • Stochastic Fluid Theory for P2P Streaming Systems

    R. Kumar;Yong Liu;K. Ross

  • Hierarchical peer-to-peer systems

    Luis Garcés-Erice;Ernst W. Biersack;Keith W. Ross;Pascal Felber

  • The stochastic knapsack problem

    K.W. Ross;D.H.K. Tsang

  • Computer Networking: A Top-Down Approach (6th Edition)

    James F. Kurose;Keith W. Ross

  • The Index Poisoning Attack in P2P File Sharing Systems

    J. Liang;N. Naoumov;K. W. Ross

  • Insights into PPLive: A Measurement Study of a Large-Scale P2P IPTV System

    Xiaojun Hei;Chao Liang;Chao Liang;Jian Liang;Yong Liu

  • Hash routing for collections of shared Web caches

    K.W. Ross

  • Optimal policies for controlled markov chains with a constraint

    Frederick J. Beutler;Keith W. Ross

  • IPTV over P2P streaming networks: the mesh-pull approach

    Xiaojun Hei;Yong Liu;K.W. Ross

  • Determining Network Delay and CDN Deployment

    Cheng Huang;Jin Li;Angela Wang;Keith Wimberly Ross

  • Inferring Network-Wide Quality in P2P Live Streaming Systems

    Xiaojun Hei;Yong Liu;K.W. Ross

  • The FastTrack overlay: A measurement study

    Jian Liang;Rakesh Kumar;Keith W. Ross

  • Hierarchical peer-to-peer systems

    Luis Garcés-Erice;Ernst W. Biersack;Pascal Felber;Keith W. Ross

  • Computer Networking: A Top-Down Approach Featuring the Internet : Preliminary Edtion

    Keith W. Ross;James F. Kurose

Frequent Co-Authors

Yong Liu
Yong Liu New York University
Martin Reisslein
Martin Reisslein Arizona State University
Jin Li
Jin Li Microsoft (United States)
Cheng Huang
Cheng Huang Microsoft (United States)
Jim Kurose
Jim Kurose University of Massachusetts Amherst
Yao Wang
Yao Wang New York University
Shivendra S. Panwar
Shivendra S. Panwar New York University
Jussi Kangasharju
Jussi Kangasharju University of Helsinki
Danny H. K. Tsang
Danny H. K. Tsang Hong Kong University of Science and Technology

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