World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
5681
World Ranking
8941
National Ranking
568

John Andrews 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 John Andrews 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: 237 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

John Andrews 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 John Andrews 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: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

John Andrews is affiliated with the University of Nottingham in the United Kingdom, with a research focus spanning primarily the engineering and decision sciences fields. Their work frequently intersects several subfields including statistics, probability and uncertainty, civil and structural engineering, industrial and manufacturing engineering, safety, risk, reliability and quality, as well as mechanical engineering.

The scholar's research contributions often address key topics such as risk and safety analysis, infrastructure maintenance and monitoring, reliability and maintenance optimization, transport and economic policies, railway engineering and dynamics, railway systems and energy efficiency, and infrastructure resilience and vulnerability analysis.

John Andrews has contributed to several recent publications in respected venues, reflecting a focus on reliability engineering and systems safety. Notable papers include:

  • "Dynamic Reliability Assessment of PEM Fuel Cell Systems," 2021, Reliability Engineering & System Safety
  • "Dynamic and dependent tree theory (D2T2): A framework for the analysis of fault trees with dependent basic events," 2022, Reliability Engineering & System Safety
  • "Multi-defect modelling of bridge deterioration using truncated inspection records," 2020, Reliability Engineering & System Safety
  • "A Petri net model-based resilience analysis of nuclear power plants under the threat of natural hazards," 2022, Reliability Engineering & System Safety
  • "Modelling cycle for simulation digital twins," 2021, Manufacturing Letters

John Andrews frequently publishes in the following venues:

  • Reliability Engineering & System Safety
  • Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit
  • Infrastructure Asset Management
  • Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021)
  • Engineering Structures

Collaborations form a significant part of their research activity. Frequent co-authors include Silvia Tolo, G. Calvert, Jack Litherland, Sarah Dunnett, and Gopika Vinod.

Best Publications

  • Reliability and Risk Assessment

    John D. Andrews;T. Robert Moss

  • Event-tree analysis using binary decision diagrams

    J.D. Andrews;S.J. Dunnett

  • Tracking control of small-scale helicopters using explicit nonlinear MPC augmented with disturbance observers

    Cunjia Liu;Wen-Hua Chen;John Andrews

  • A fault tree analysis strategy using binary decision diagrams

    Karen A. Reay;John D. Andrews

  • Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges:

    Matteo Vagnoli;Rasa Remenyte-Prescott;John Andrews

  • Birnbaum's measure of component importance for noncoherent systems

    J.D. Andrews;S. Beeson

  • A modelling approach to railway track asset management

    John Andrews

  • The effects of tamping on railway track geometry degradation

    M Audley;JD Andrews

  • Phased mission modelling of systems with maintenance-free operating periods using simulated Petri nets

    Samuel P. Chew;Sarah J. Dunnett;J.D. Andrews

  • Importance measures for noncoherent-system analysis

    S. Beeson;J.D. Andrews

  • Fault tree analysis and binary decision diagrams

    R.M. Sinnamon;J.D. Andrews

  • New approaches to evaluating fault trees

    Roslyn M. Sinnamon;J.D. Andrews

  • A stochastic model for railway track asset management

    John D. Andrews;Darren Prescott;Florian De Rozières

  • Bayesian belief networks for system fault diagnostics

    Mariapia Lampis;J. D. Andrews

  • Modelling wind turbine degradation and maintenance

    Bryant Le;John Andrews

  • Improved efficiency in qualitative fault tree analysis

    Roslyn M. Sinnamon;J.D. Andrews

  • Improved accuracy in quantitative fault tree analysis

    Roslyn M. Sinnamon;J.D. Andrews

  • Dependability analysis of systems with on-demand and active failure modes, using dynamic fault trees

    L. Meshkat;J.B. Dugan;J.D. Andrews

  • A review of performance degradation and failure modes for hydrogen-fuelled polymer electrolyte fuel cells

    Pratap Rama;Rui Chen;J.D. Andrews

  • Optimal Scheduling of Track Maintenance on a Railway Network

    Tao Zhang;Tao Zhang;John D. Andrews;Rui Wang;Rui Wang

Frequent Co-Authors

Wen-Hua Chen
Wen-Hua Chen Loughborough University
Christophe Bérenguer
Christophe Bérenguer Grenoble Alpes University
Joanne Bechta Dugan
Joanne Bechta Dugan University of Virginia
Enrico Zio
Enrico Zio Polytechnic University of Milan
Kai Goebel
Kai Goebel Palo Alto Research Center
James M. W. Brownjohn
James M. W. Brownjohn University of Exeter
Eugene J. O'Brien
Eugene J. O'Brien University College Dublin

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