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Engineering and Technology
USA
2026
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Engineering and Technology
Canada
2023

D-Index & Metrics

Engineering and Technology

D-Index
109
Citations
47667
World Ranking
85
National Ranking
31

Faisal Khan 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 Faisal Khan 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: 945 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Faisal Khan 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 Faisal Khan 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: 109 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award
  • 2023 - Research.com Engineering and Technology in Canada Leader Award
  • 2022 - Research.com Engineering and Technology in Canada Leader Award

Overview

Faisal Khan is affiliated with Texas A&M University in the United States and has a significant body of research in engineering and decision sciences. Their work spans over 400 publications, focusing extensively on risk and safety analysis as well as fault detection and control systems. The main fields of study for Khan include engineering, with 434 publications, and decision sciences, contributing to 160 publications.

Khan's most frequent co-authors include Salim Ahmed, Paul Amyotte, Rouzbeh Abbassi, Md. Tanjin Amin, and Syed Imtiaz, each contributing notably to collaborative research efforts.

The scientist has contributed to several publication venues, with the highest number of articles published in:

  • Process Safety and Environmental Protection (50 publications)
  • Reliability Engineering & System Safety (23 publications)
  • Journal of Loss Prevention in the Process Industries (17 publications)
  • Computers & Chemical Engineering (16 publications)
  • Ocean Engineering (15 publications)

The main research topics covered by Faisal Khan include:

  • Risk and Safety Analysis
  • Occupational Health and Safety Research
  • Fault Detection and Control Systems
  • Structural Integrity and Reliability Analysis
  • Combustion and Detonation Processes
  • Corrosion Behavior and Inhibition
  • Hydraulic Fracturing and Reservoir Analysis

Khan's subfields of study reflect a broad range within engineering disciplines, including:

  • Statistics, Probability and Uncertainty
  • Ocean Engineering
  • Mechanical Engineering
  • Control and Systems Engineering
  • Radiological and Ultrasound Technology

Among their recent publications are:

  • Recent development in electrocatalysts for hydrogen production through water electrolysis, 2021, International Journal of Hydrogen Energy
  • Review of hydrogen safety during storage, transmission, and applications processes, 2021, Journal of Loss Prevention in the Process Industries
  • Improved DEMATEL methodology for effective safety management decision-making, 2020, Safety Science
  • A data-driven Bayesian network learning method for process fault diagnosis, 2021, Process Safety and Environmental Protection
  • A Dynamic Bayesian Network model for ship-ice collision risk in the Arctic waters, 2020, Safety Science

Faisal Khan has also published two books with Springer International Publishing, titled Advances in Industrial Safety and Advances in Air Pollution Profiling and Control, both published in 2020.

Best Publications

  • A review of drought indices

    Amin Zargar;Rehan Sadiq;Bahman Naser;Faisal I. Khan

  • An overview and analysis of site remediation technologies

    Faisal I Khan;Tahir Husain;Ramzi Hejazi

  • Removal of Volatile Organic Compounds from polluted air

    Unknown

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

    Nima Khakzad;Faisal I. Khan;Paul Amyotte

  • Methods and models in process safety and risk management: Past, present and future

    Faisal Khan;Samith Rathnayaka;Salim Ahmed

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

    Nima Khakzad;Faisal Khan;Paul Amyotte

  • Risk-based maintenance (RBM): a quantitative approach for maintenance/inspection scheduling and planning

    Faisal I Khan;Mahmoud M Haddara

  • Recent development in electrocatalysts for hydrogen production through water electrolysis

    Shams Anwar;Faisal Khan;Yahui Zhang;Abdoulaye Djire

  • Modelling of pitting corrosion in marine and offshore steel structures – A technical review

    Jyoti Bhandari;Faisal Khan;Rouzbeh Abbassi;Vikram Garaniya

  • Major accidents in process industries and an analysis of causes and consequences

    Faisal I Khan;S.A Abbasi

  • Techniques and methodologies for risk analysis in chemical process industries

    Faisal I Khan;S.A Abbasi

  • 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

  • Review of hydrogen safety during storage, transmission, and applications processes

    Elham Abohamzeh;Fatemeh Salehi;Mohsen Sheikholeslami;Rouzbeh Abbassi

  • Improved DEMATEL methodology for effective safety management decision-making

    Mohammad Yazdi;Faisal Khan;Rouzbeh Abbassi;Rouzbeh Abbassi;Risza Rusli

  • Towards dynamic risk analysis: A review of the risk assessment approach and its limitations in the chemical process industry

    Valeria Villa;Nicola Paltrinieri;Nicola Paltrinieri;Faisal Khan;Valerio Cozzani

  • Dynamic risk assessment using failure assessment and Bayesian theory

    Maryam Kalantarnia;Faisal Khan;Faisal Khan;Kelly Hawboldt

  • WATER QUALITY EVALUATION AND TREND ANALYSIS IN SELECTED WATERSHEDS OF THE ATLANTIC REGION OF CANADA

    Faisal Khan;Tahir Husain;Ashok Lumb

  • Models for domino effect analysis in chemical process industries

    Faisal I. Khan;S. A. Abbasi

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

    Refaul Ferdous;Faisal Khan;Rehan Sadiq;Paul Amyotte

  • Development of a risk-based maintenance (RBM) strategy for a power-generating plant

    Loganathan Krishnasamy;Faisal Khan;Mahmoud Haddara

Frequent Co-Authors

Paul Amyotte
Paul Amyotte Dalhousie University
Rouzbeh Abbassi
Rouzbeh Abbassi Macquarie University
Vikram Garaniya
Vikram Garaniya University of Tasmania
Shahid Abbas Abbasi
Shahid Abbas Abbasi Pondicherry University
Nima Khakzad
Nima Khakzad Toronto Metropolitan University
Rehan Sadiq
Rehan Sadiq University of British Columbia
Valerio Cozzani
Valerio Cozzani University of Bologna
Genserik Reniers
Genserik Reniers Delft University of Technology
Azmi Mohd Shariff
Azmi Mohd Shariff Universiti Teknologi Petronas
Sohrab Zendehboudi
Sohrab Zendehboudi Memorial University of Newfoundland

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