World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
18837
World Ranking
1979
National Ranking
1001

Nick Duffield 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 Duffield 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: 234 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Nick Duffield 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 Duffield 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: 69 D-Index — 87th percentile

87% 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

  • 2020 - ACM Fellow For contributions to network measurement and analysis

Overview

Nick Duffield is affiliated with Texas A&M University in the United States. Their research has primarily focused on the field of Computer Science, with a substantial body of work addressing various subfields including Artificial Intelligence, Molecular Biology, Plant Science, Computer Vision and Pattern Recognition, as well as Sociology and Political Science.

The scholarly output of Duffield covers topics in Smart Agriculture and AI, Industrial Vision Systems and Defect Detection, Food Supply Chain Traceability, Traffic Prediction and Management Techniques, Video Surveillance and Tracking Methods, Autonomous Vehicle Technology and Safety, and COVID-19 epidemiological studies.

  • A reinforcement learning-based routing algorithm for large street networks, 2023, International Journal of Geographical Information Systems
  • Visual recognition for urban traffic data retrieval and analysis in major events using convolutional neural networks, 2022, Computational Urban Science
  • Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs, 2020, Operations Research
  • Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media, 2022, International Journal of Digital Earth
  • Bayesian Graph Neural Networks with Adaptive Connection Sampling, 2020, arXiv (Cornell University)

Their research has appeared frequently in venues such as arXiv (Cornell University), Computational Urban Science, Advances in Modern Agriculture, SSRN Electronic Journal, and the International Journal of Geographical Information Systems.

  • Yalong Pi
  • Haoyu Niu
  • Arman Hasanzadeh
  • Xiaoning Qian
  • Ziyi Zhang

Duffield has been recognized as an ACM Fellow in 2020 for contributions to network measurement and analysis.

Best Publications

  • Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification

    Matthew Roughan;Subhabrata Sen;Oliver Spatscheck;Nick Duffield

  • Fast accurate computation of large-scale IP traffic matrices from link loads

    Yin Zhang;Matthew Roughan;Nick Duffield;Albert Greenberg

  • A flexible model for resource management in virtual private networks

    N. G. Duffield;Pawan Goyal;Albert Greenberg;Partho Mishra

  • Large deviations and overflow probabilities for the general single-server queue, with applications

    N. G. Duffield;Neil O'connell

  • Trajectory sampling for direct traffic observation

    N. G. Duffield;Matthias Grossglauser

  • On the constancy of internet path properties

    Yin Zhang;Nick Duffield

  • Estimating flow distributions from sampled flow statistics

    Nick Duffield;Carsten Lund;Mikkel Thorup

  • Multicast-based inference of network-internal loss characteristics

    R. Caceres;N.G. Duffield;J. Horowitz;D.F. Towsley

  • On unbiased sampling for unstructured peer-to-peer networks

    Daniel Stutzbach;Reza Rejaie;Nick Duffield;Subhabrata Sen

  • Multicast-based inference of network-internal delay distributions

    Francesco Lo Presti;N. G. Duffield;Joe Horowitz;Don Towsley

  • Network tomography on general topologies

    Tian Bu;Nick Duffield;Francesco Lo Presti;Don Towsley

  • Properties and prediction of flow statistics from sampled packet streams

    Nick Duffield;Carsten Lund;Mikkel Thorup

  • Network Tomography of Binary Network Performance Characteristics

    N. Duffield

  • Inferring link loss using striped unicast probes

    N.G. Duffield;F. Lo Presti;V. Paxson;D. Towsley

  • Large deviations, the shape of the loss curve, and economies of scale in large multiplexers

    Dmitri Botvich;Nick G. Duffield;Nick G. Duffield

  • Multicast topology inference from measured end-to-end loss

    N.G. Duffield;J. Horowitz;F. Lo Presti;D. Towsley

  • Systems, methods, and devices for monitoring networks

    Christopher J. Chase;Nicholas G. Duffield;Albert G. Greenberg;Oliver Spatscheck

  • Efficient Graphlet Counting for Large Networks

    Nesreen K. Ahmed;Jennifer Neville;Ryan A. Rossi;Nick Duffield

  • Online identification of hierarchical heavy hitters: algorithms, evaluation, and applications

    Yin Zhang;Sumeet Singh;Subhabrata Sen;Nick Duffield

  • Charging from sampled network usage

    Nick Duffield;Carsten Lund;Mikkel Thorup

  • The use of end-to-end multicast measurements for characterizing internal network behavior

    A. Adams;Tian Bu;T. Friedman;J. Horowitz

Frequent Co-Authors

Subhabrata Sen
Subhabrata Sen AT&T (United States)
Mikkel Thorup
Mikkel Thorup University of Copenhagen
Carsten Lund
Carsten Lund AT&T (United States)
Don Towsley
Don Towsley University of Massachusetts Amherst
Nesreen K. Ahmed
Nesreen K. Ahmed Intel (United States)
Edith Cohen
Edith Cohen Tel Aviv University
Alexandre Gerber
Alexandre Gerber AT&T (United States)
Patrick Haffner
Patrick Haffner Interactions Corporation
Krishna R. Narayanan
Krishna R. Narayanan Texas A&M University

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