World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
10084
World Ranking
6819
National Ranking
1855

Ian Taylor 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 Ian Taylor 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: 212 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Ian Taylor 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 Ian Taylor 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: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Overview

Ian Taylor is affiliated with the University of Notre Dame in the United States. Their research primarily spans the field of Computer Science, with a focus on Information Systems, Computer Networks and Communications, and Artificial Intelligence.

The scientist's work addresses a range of topics including Scientific Computing and Data Management, Blockchain Technology Applications and Security, Distributed and Parallel Computing Systems, and Privacy-Preserving Technologies in Data. Other specialized areas covered in their research include Muon and positron interactions and applications, Particle accelerators and beam dynamics, and Paleontology and Stratigraphy of Fossils.

Frequent publication venues for Ian Taylor include:

  • arXiv (Cornell University)
  • Future Generation Computer Systems
  • Abstracts with programs - Geological Society of America
  • Blockchain Research and Applications
  • Concurrency and Computation Practice and Experience

Collaborations form a significant part of their academic contributions. Regular coauthors include:

  • Alun Preece
  • Iain Barclay
  • Jarek Nabrzyski
  • Swapna Krishnakumar Radha
  • Richard Lupia

Recent published papers provide insight into their areas of expertise and research output. Notable works include:

  • "Service Placement and Request Routing in MEC Networks With Storage, Computation, and Communication Constraints," 2020, IEEE/ACM Transactions on Networking
  • "Efficient orchestration of Node-RED IoT workflows using a Vector Symbolic Architecture," 2020, Future Generation Computer Systems
  • "Certifying Provenance of Scientific Datasets with Self-sovereign Identity and Verifiable Credentials," 2020, arXiv (Cornell University)
  • "Verifiable Badging System for scientific data reproducibility," 2021, Blockchain Research and Applications
  • "A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions," 2020, Concurrency and Computation Practice and Experience

The range of publication venues and research topics illustrates the broad scope of Ian Taylor's academic activities covering theoretical frameworks, applied computing systems, and data management approaches, as well as interdisciplinary studies that intersect with blockchain and security technologies.

Best Publications

  • Workflows and e-Science: An overview of workflow system features and capabilities

    Ewa Deelman;Dennis Gannon;Matthew Shields;Ian Taylor

  • Workflows For E-Science: Scientific Workflows For Grids

    Ian J. Taylor;Ewa Deelman;Dennis B. Gannon;Matthew Shields

  • The GEO 600 gravitational wave detector

    B. Willke;P. Aufmuth;C. Aulbert;Stanislav V. Babak

  • Detector description and performance for the first coincidence observations between LIGO and GEO

    B. Abbott;R. Abbott;R. Adhikari;A. Ageev;A. Ageev

  • Programming scientific and distributed workflow with Triana services

    David Churches;Gabor Gombás;Andrew Harrison;Jason Maassen

  • Workflows for e-Science

    Ian J. Taylor;Ewa Deelman;Dennis B. Gannon;Matthew Shields

  • The Triana Workflow Environment: Architecture and Applications

    Ian J. Taylor;Ian J. Taylor;Matthew S. Shields;Ian Wang;Andrew Harrison

  • Joint Service Placement and Request Routing in Multi-cell Mobile Edge Computing Networks

    Konstantinos Poularakis;Jaime Llorca;Antonia M. Tulino;Ian Taylor

  • Fundamental Physics at the Intensity Frontier

    J.L. Hewett;H. Weerts;R. Brock;J.N. Butler

  • Triana: a graphical Web service composition and execution toolkit

    Unknown

  • Enabling Applications on the Grid: A Gridlab Overview

    Gabrielle Allen;Tom Goodale;Thomas Radke;Michael Russell

  • The GEO-HF project

    B. Willke;P. Ajith;B. Allen;P. Aufmuth

  • Visual Grid Workflow in Triana

    Ian James Taylor;M. Shields;I. Wang;Andrew Bernard Harrison

  • First upper limits from LIGO on gravitational wave bursts

    B. Abbott;R. Abbott;R. Adhikari;A. Ageev;A. Ageev

  • Triana Applications within Grid Computing and Peer to Peer Environments

    Ian James Taylor;Matthew Simon Shields;Ian Nicholas Wang;Omer Farooq Rana

  • Monitoring self-adaptive applications within edge computing frameworks: A state-of-the-art review

    Salman Taherizadeh;Andrew Clifford Jones;Ian James Taylor;Zhiming Zhao

  • Analysis of first LIGO science data for stochastic gravitational waves

    B. Abbott;R. Abbott;R. Adhikari;A. Ageev;A. Ageev

  • Distributed P2P computing within Triana: a galaxy visualization test case

    I. Taylor;M. Shields;I. Wang

  • Scientific Workflows: Past, Present and Future

    Malcolm P. Atkinson;Sandra Gesing;Johan Montagnat;Ian J. Taylor;Ian J. Taylor

  • Computing environments for reproducibility: Capturing the “Whole Tale”

    Adam Brinckman;Kyle Chard;Kyle Chard;Niall Gaffney;Mihael Hategan;Mihael Hategan

  • Service Placement and Request Routing in MEC Networks With Storage, Computation, and Communication Constraints

    Konstantinos Poularakis;Jaime Llorca;Antonia M. Tulino;Ian Taylor

  • Distributed computing with Triana on the Grid

    Ian James Taylor;Ian Wang;Matthew Shields;Shalil Majithia

  • Scientific Process Automation and Workflow Management

    Bertram Ludäscher;Ilkay Altintas;Shawn Bowers;Julian Cummings

  • Scientific Data Analysis.

    Chandrika Kamath;Nikil Wale;George Karypis;Gaurav Pandey

Frequent Co-Authors

Bernard F. Schutz
Bernard F. Schutz Cardiff University
N. A. Robertson
N. A. Robertson California Institute of Technology
Karsten Danzmann
Karsten Danzmann Max Planck Institute for Gravitational Physics
Alberto Vecchio
Alberto Vecchio University of Birmingham
Kenneth A. Strain
Kenneth A. Strain University of Glasgow
J. H. Hough
J. H. Hough University of Glasgow
Carsten Fallnich
Carsten Fallnich University of Münster
Maria Alessandra Papa
Maria Alessandra Papa Max Planck Institute for Gravitational Physics
Raymond G. Beausoleil
Raymond G. Beausoleil Hewlett-Packard (United States)

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