World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
7749
World Ranking
8582
National Ranking
432

Darryl Veitch publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Darryl Veitch sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 137 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Darryl Veitch D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Darryl Veitch sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Darryl Veitch is affiliated with the University of Technology Sydney in Australia. Their research spans primarily across the field of Computer Science, with a focus on Computer Networks and Communications. Other subfields they have contributed to include Statistical and Nonlinear Physics, Molecular Biology, Modeling and Simulation, and Electrical and Electronic Engineering.

Their work addresses various main topics including:

  • Network Time Synchronization Technologies
  • Distributed systems and fault tolerance
  • Neural Networks Stability and Synchronization
  • Nonlinear Dynamics and Pattern Formation
  • Gene Regulatory Network Analysis
  • Complex Network Analysis Techniques
  • COVID-19 epidemiological studies

Darryl Veitch has published research in several academic venues, notably:

  • IEEE/ACM Transactions on Networking (2 publications)
  • arXiv (Cornell University) (2 publications)
  • IEEE Transactions on Network Science and Engineering
  • Automatica
  • IEEE Transactions on Cybernetics

Frequently collaborating with other researchers, Veitch's coauthors include Saber Jafarizadeh, Yi Cao, Sathiya Kumaran Mani, Paul Barford, and Farzad Tofigh.

Recent papers authored or coauthored by Darryl Veitch include:

  • "Optimal Synchronizability in Networks of Coupled Systems: Topological View" (2021) published in IEEE Transactions on Network Science and Engineering
  • "Optimal curing resource allocation for epidemic spreading processes" (2023) published in Automatica
  • "Robust Weighted-Average Continuous-Time Consensus With Communication Time Delay" (2021) published in IEEE Transactions on Cybernetics
  • "Toward Trusted Time: Remote Server Vetting and the Misfiring Heart of Internet Timing" (2020) published in IEEE/ACM Transactions on Networking
  • "iHorology: Lowering the Barrier to Microsecond-Level Internet Time" (2022) published in IEEE/ACM Transactions on Networking

Best Publications

  • Wavelet analysis of long-range-dependent traffic

    P. Abry;D. Veitch

  • A wavelet-based joint estimator of the parameters of long-range dependence

    D. Veitch;P. Abry

  • Inverting sampled traffic

    Nicolas Hohn;Darryl Veitch

  • Wavelets for the Analysis, Estimation, and Synthesis of Scaling Data

    P. Abry;P. Flandrin;M. S. Taqqu;D. Veitch

  • Multiscale nature of network traffic

    P. Abry;R. Baraniuk;P. Flandrin;R. Riedi

  • Long-range Dependence: Revisiting Aggregation with Wavelets

    Patrice Abry;Darryl Veitch;Patrick Flandrin

  • Self-similar traffic and network dynamics

    A. Erramilli;M. Roughan;D. Veitch;W. Willinger

  • PC based precision timing without GPS

    Attila Pásztor;Darryl Veitch

  • Robust synchronization of software clocks across the internet

    Darryl Veitch;Satish Babu;Attila Pàsztor

  • Cluster processes: a natural language for network traffic

    N. Hohn;D. Veitch;P. Abry

  • The role of PASTA in network measurement

    Françis Baccelli;Sridhar Machiraju;Darryl Veitch;Jean Bolot

  • Heavy traffic analysis of a storage model with long range dependent On/Off sources

    F. Brichet;Jim Roberts;Alain Simonian;Darryl Veitch

  • Real-time estimation of the parameters of long-range dependence

    Matthew Roughan;Darryl Veitch;Patrice Abry

  • Bridging router performance and queuing theory

    N. Hohn;D. Veitch;K. Papagiannaki;C. Diot

  • Active probing using packet quartets

    Attila Pásztor;Darryl Veitch

  • Scaling in Internet Traffic: A 14 Year and 3 Day Longitudinal Study, With Multiscale Analyses and Random Projections

    Romain Fontugne;Patrice Abry;Kensuke Fukuda;Darryl Veitch

  • The packet size dependence of packet pair like methods

    A. Pasztor;D. Veitch

  • A statistical test for the time constancy of scaling exponents

    D. Veich;P. Abry

  • The Multiscale Nature of Network Traffic: Discovery, Analysis, and Modelling

    Patrice Abry;Richard Baraniuk;Patrick Flandrin;Rudolf Riedi

  • Multifractality in TCP/IP traffic: the case against

    Darryl Veitch;Nicolas Hohn;Patrice Abry

Frequent Co-Authors

Patrice Abry
Patrice Abry École Normale Supérieure de Lyon
Matthew Roughan
Matthew Roughan University of Adelaide
François Baccelli
François Baccelli French Institute for Research in Computer Science and Automation - INRIA
Pierre Borgnat
Pierre Borgnat École Normale Supérieure de Lyon
Renata Teixeira
Renata Teixeira French Institute for Research in Computer Science and Automation - INRIA
Patrick Flandrin
Patrick Flandrin École Normale Supérieure de Lyon
Christophe Diot
Christophe Diot Google (United States)
Konstantina Papagiannaki
Konstantina Papagiannaki Google (United States)
Rudolf H. Riedi
Rudolf H. Riedi Rice University
Murad S. Taqqu
Murad S. Taqqu Boston University

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