World's Best Scientists 2026 revealed!
T. S. Eugene Ng

T. S. Eugene Ng

D-Index & Metrics

Computer Science

D-Index
31
Citations
8321
World Ranking
13356
National Ranking
5345

T. S. Eugene Ng 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 T. S. Eugene Ng 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: 103 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.

T. S. Eugene Ng 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 T. S. Eugene Ng 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

T. S. Eugene Ng is affiliated with Rice University in the United States and works primarily in the field of Computer Science. Their research focuses on areas such as computer networks and communications, information systems, hardware and architecture, as well as artificial intelligence. The scientist's work spans topics including cloud computing and resource management, software-defined networks and 5G, interconnection networks and systems, distributed and parallel computing systems, peer-to-peer network technologies, caching and content delivery, and parallel computing and optimization techniques.

The main subfields of study for this researcher include:

  • Computer Networks and Communications
  • Information Systems
  • Hardware and Architecture
  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence

Their primary topics of work cover:

  • Cloud Computing and Resource Management
  • Software-Defined Networks and 5G
  • Interconnection Networks and Systems
  • Distributed and Parallel Computing Systems
  • Peer-to-Peer Network Technologies
  • Caching and Content Delivery
  • Parallel Computing and Optimization Techniques

Recent publications by T. S. Eugene Ng include:

  • Detecting and Resolving PFC Deadlocks with ITSY Entirely in the Data Plane, 2022, IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
  • Shufflecast: An Optical, Data-Rate Agnostic, and Low-Power Multicast Architecture for Next-Generation Compute Clusters, 2022, IEEE/ACM Transactions on Networking
  • DCFIT: Initial Trigger-Based PFC Deadlock Detection in the Data Plane, 2020, arXiv (Cornell University)
  • MergeComp: A Compression Scheduler for Scalable Communication-Efficient Distributed Training, 2021, arXiv (Cornell University)
  • MXDAG: A Hybrid Abstraction for Cluster Applications, 2021, arXiv (Cornell University)

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
  • IEEE/ACM Transactions on Networking

Collaborations have been established with several co-authors, including:

  • Xinyu Wu
  • Zhuang Wang
  • Sushovan Das
  • Weitao Wang
  • Afsaneh Rahbar

Best Publications

  • Predicting Internet network distance with coordinates-based approaches

    T.S.E. Ng;Hui Zhang

  • The Impact of Virtualization on Network Performance of Amazon EC2 Data Center

    Guohui Wang;T. S. Eugene Ng

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

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

  • A hierarchical fair service curve algorithm for link-sharing, real-time and priority services

    Ion Stoica;Hui Zhang;T. S. Eugene Ng

  • Maestro: A System for Scalable OpenFlow Control

    Zheng Cai;Alan L. Cox;T. S. Eugene Ng

  • REUNITE: a recursive unicast approach to multicast

    I. Stoica;T.S.E. Ng;Hui Zhang

  • Early experience with an internet broadcast system based on overlay multicast

    Yang-hua Chu;Aditya Ganjam;T. S. Eugene Ng;Sanjay G. Rao

  • Programming your network at run-time for big data applications

    Guohui Wang;T.S. Eugene Ng;Anees Shaikh

  • A network positioning system for the internet

    T. S. Eugene Ng;Hui Zhang

  • Measurement based analysis, modeling, and synthesis of the internet delay space

    Bo Zhang;T. S. Eugene Ng;Animesh Nandi;Rudolf Riedi

  • Towards global network positioning

    T. S. Eugene Ng;Hui Zhang

  • Tesseract: a 4D network control plane

    Hong Yan;David A. Maltz;T. S. Eugene Ng;Hemant Gogineni

  • Darwin: customizable resource management for value-added network services

    P. Chandra;A. Fisher;C. Kosak;T.S.E. Ng

  • A hierarchical fair service curve algorithm for link-sharing, real-time, and priority services

    Ion Stoica;Hui Zhang;T. S. Eugene Ng

  • Towards network triangle inequality violation aware distributed systems

    Guohui Wang;Bo Zhang;T. S. Eugene Ng

  • Measurement-based optimization techniques for bandwidth-demanding peer-to-peer systems

    T.S.E. Ng;Y.-H. Chu;S.G. Rao;K. Sripanidkulchai

  • The Preliminary Design and Implementation of the Maestro Network Control Platform

    Zheng Cai;Alan L. Cox;Florin Dinu;T. S. Eugene Ng

  • Switching the optical divide: fundamental challenges for hybrid electrical/optical datacenter networks

    Hamid Hajabdolali Bazzaz;Malveeka Tewari;Guohui Wang;George Porter

  • Understanding the effects and implications of compute node related failures in hadoop

    Florin Dinu;T.S. Eugene Ng

  • Workload-aware live storage migration for clouds

    Unknown

  • Measurement-based analysis, modeling, and synthesis of the internet delay space

    Bo Zhang;Tze Sing Eugene Ng;Animesh Nandi;Rudolf H. Riedi

Frequent Co-Authors

Hui Zhang
Hui Zhang National University of Singapore
Alan L. Cox
Alan L. Cox Rice University
Ion Stoica
Ion Stoica University of California, Berkeley
Keren Bergman
Keren Bergman Columbia University
Michael Kozuch
Michael Kozuch Intel (United States)
David A. Maltz
David A. Maltz Microsoft (United States)
David G. Andersen
David G. Andersen Carnegie Mellon University
Peter Druschel
Peter Druschel Max Planck Institute for Software Systems
Michael Kaminsky
Michael Kaminsky Carnegie Mellon University
Sambit Sahu
Sambit Sahu IBM (United States)

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