World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
67
Citations
14839
World Ranking
1332
National Ranking
57

Paul Amyotte 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 Paul Amyotte 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: 257 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Paul Amyotte 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 Paul Amyotte 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: 67 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Paul Amyotte is affiliated with Dalhousie University in Canada and has contributed extensively to the fields of engineering and decision sciences. Their research focuses on various aspects of safety, risk, and reliability within industrial and process engineering contexts.

The main fields of study associated with Paul Amyotte include:

  • Engineering
  • Decision Sciences

Within these domains, the scientist has specialized in several subfields:

  • Statistics, Probability and Uncertainty
  • Aerospace Engineering
  • Safety, Risk, Reliability and Quality
  • Radiological and Ultrasound Technology
  • Mechanics of Materials

The primary research topics covered by their work include:

  • Combustion and Detonation Processes
  • Risk and Safety Analysis
  • Occupational Health and Safety Research
  • Fire dynamics and safety research
  • Energetic Materials and Combustion
  • Engineering and Material Science Research
  • Chemical Safety and Risk Management

Paul Amyotte's recent publications demonstrate their focus and collaboration in process safety and chemical engineering:

  • "Process safety concerns in process system digitalization," 2020, Education for Chemical Engineers
  • "The role of inherently safer design in process safety," 2020, The Canadian Journal of Chemical Engineering
  • "Integrating process dynamics in data-driven models of chemical processing systems," 2023, Process Safety and Environmental Protection
  • "Modeling and analysis of domino effect in petrochemical storage tank farms under the synergistic effect of explosion and fire," 2023, Process Safety and Environmental Protection
  • "Effects of dust dispersibility on the suppressant enhanced explosion parameter (SEEP) in flame propagation of Al dust clouds," 2020, Journal of Hazardous Materials

The scientist has published frequently in the following venues:

  • Journal of Loss Prevention in the Process Industries
  • Process Safety and Environmental Protection
  • The Canadian Journal of Chemical Engineering
  • Powder Technology
  • Reliability Engineering & System Safety

Collaboration plays a significant role in their research, with frequent co-authors including:

  • Faisal Khan
  • Chunmiao Yuan
  • Mohammad Alauddin
  • Yajie Bu
  • Kayleigh Rayner Brown

Paul Amyotte is recognized as a member of The Canadian Academy of Engineering, reflecting their involvement with the Canadian engineering community.

Best Publications

  • Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches

    Nima Khakzad;Faisal I. Khan;Paul Amyotte

  • Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network

    Nima Khakzad;Faisal Khan;Paul Amyotte

  • Still Going Wrong!: Case Histories of Process Plant Disasters and How They Could Have Been Avoided

    Paul Amyotte;Trevor A. Kletz

  • Quantitative risk analysis of offshore drilling operations: A Bayesian approach

    Nima Khakzad;Faisal Khan;Paul Amyotte

  • Dynamic risk analysis using bow-tie approach

    Nima Khakzad;Faisal I. Khan;Paul Amyotte

  • Fault and event tree analyses for process systems risk analysis: uncertainty handling formulations.

    Refaul Ferdous;Faisal Khan;Rehan Sadiq;Paul Amyotte

  • Dust explosion causation, prevention and mitigation: An overview

    Paul R. Amyotte;Rolf K. Eckhoff

  • Domino effect analysis using Bayesian networks.

    Nima Khakzad;Faisal Khan;Paul Amyotte;Valerio Cozzani

  • Integrated inherent safety index (I2SI): A tool for inherent safety evaluation

    Faisal I. Khan;Paul R. Amyotte

  • Dust explosions: A threat to the process industries

    Zhi Yuan;Nima Khakzad;Nima Khakzad;Faisal Khan;Paul Amyotte

  • Analyzing system safety and risks under uncertainty using a bow-tie diagram: An innovative approach

    Refaul Ferdous;Faisal Khan;Rehan Sadiq;Paul Amyotte

  • I2SI: A comprehensive quantitative tool for inherent safety and cost evaluation

    Faisal I. Khan;Paul R. Amyotte

  • Solid inertants and their use in dust explosion prevention and mitigation

    Paul R. Amyotte

  • SHIPP methodology: Predictive accident modeling approach. Part I: Methodology and model description

    Samith Rathnayaka;Faisal Khan;Paul Amyotte

  • How to make inherent safety practice a reality

    Faisal I. Khan;Paul R. Amyotte

  • Dynamic risk management: a contemporary approach to process safety management

    Faisal Khan;Seyed Javad Hashemi;Nicola Paltrinieri;Paul Amyotte

  • Application of inherent safety principles to dust explosion prevention and mitigation

    Paul R. Amyotte;Michael J. Pegg;Faisal I. Khan

  • Inherent safety in offshore oil and gas activities: a review of the present status and future directions

    Faisal I. Khan;Paul R. Amyotte

  • Methodology for computer aided fuzzy fault tree analysis

    Refaul Ferdous;Faisal Khan;Brian Veitch;Paul R. Amyotte

  • Modelling the effect of particle size on dust explosions

    A. Di Benedetto;Paola Russo;P. Amyotte;N. Marchand

Frequent Co-Authors

Faisal Khan
Faisal Khan Texas A&M University
Nima Khakzad
Nima Khakzad Toronto Metropolitan University
Genserik Reniers
Genserik Reniers Delft University of Technology
Valerio Cozzani
Valerio Cozzani University of Bologna
Rehan Sadiq
Rehan Sadiq University of British Columbia
Paola Russo
Paola Russo Sapienza University of Rome
Almerinda Di Benedetto
Almerinda Di Benedetto University of Naples Federico II
Qingsong Wang
Qingsong Wang University of Science and Technology of China
Ernesto Salzano
Ernesto Salzano University of Bologna
Adrian Oehmen
Adrian Oehmen University of Queensland

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