World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
4121
World Ranking
8507
National Ranking
546

Mahmood Shafiee 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 Mahmood Shafiee 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: 112 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Mahmood Shafiee 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 Mahmood Shafiee 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: 37 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Mahmood Shafiee is affiliated with the University of Kent in the United Kingdom, primarily working within the field of Engineering. Their research spans multiple subfields including Mechanical Engineering, Ocean Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, and Statistics, Probability and Uncertainty.

Their recent publications focus on various aspects of engineering systems, particularly related to maintenance, reliability, and offshore technologies. Notable papers include "An overview of maintenance management strategies for corroded steel structures in extreme marine environments" (2020, Marine Structures), "Bayesian Network Modelling for the Wind Energy Industry: An Overview" (2020, Reliability Engineering & System Safety), "Unmanned Aerial Drones for Inspection of Offshore Wind Turbines: A Mission-Critical Failure Analysis" (2021, Robotics), "Artificial intelligence in prognostics and health management of engineering systems" (2021, Engineering Applications of Artificial Intelligence), and "Integrated energy hub system based on power-to-gas and compressed air energy storage technologies in the presence of multiple shiftable loads" (2020, IET Generation Transmission & Distribution).

Shafiee's research interests include Risk and Safety Analysis, Reliability and Maintenance Optimization, Marine and Offshore Engineering Studies, Machine Fault Diagnosis Techniques, Structural Integrity and Reliability Analysis, Offshore Engineering and Technologies, and Fault Detection and Control Systems.

Frequent co-authors in their work are:

  • Fateme Dinmohammadi
  • Amir Hosein Sakhaei
  • Tosin Adedipe
  • Morteza Zare Oskouei
  • Behnam Mohammadi-Ivatloo

Shafiee has contributed several papers to prominent journals and venues, with frequent publications in:

  • Energies
  • Robotics
  • Sensors
  • Optik
  • Journal of Marine Engineering & Technology

The combination of these topics, publication venues, and collaborative networks outlines an interdisciplinary approach to engineering challenges, particularly emphasizing reliability, safety, and the integration of new technologies in offshore and marine environments.

Best Publications

  • Maintenance models in warranty: A literature review

    Mahmood Shafiee;Stefanka Chukova

  • Maintenance logistics organization for offshore wind energy: Current progress and future perspectives

    Mahmood Shafiee

  • An opportunistic condition-based maintenance policy for offshore wind turbine blades subjected to degradation and environmental shocks

    Mahmood Shafiee;Maxim Finkelstein;Christophe Bérenguer

  • An overview of maintenance management strategies for corroded steel structures in extreme marine environments

    Muntazir Abbas;Mahmood Shafiee

  • Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies

    Mahmood Shafiee;John Dalsgaard Sørensen

  • Artificial intelligence in prognostics and health management of engineering systems

    Unknown

  • An FMEA-Based Risk Assessment Approach for Wind Turbine Systems: A Comparative Study of Onshore and Offshore

    Mahmood Shafiee;Fateme Dinmohammadi

  • Structural Health Monitoring (SHM) and Determination of Surface Defects in Large Metallic Structures using Ultrasonic Guided Waves.

    Muntazir Abbas;Mahmood Shafiee

  • Maintenance strategy selection problem: an MCDM overview

    Mahmood Shafiee

  • An optimal age-based group maintenance policy for multi-unit degrading systems

    Mahmood Shafiee;Maxim Finkelstein;Maxim Finkelstein

  • A fuzzy analytic network process model to mitigate the risks associated with offshore wind farms

    Mahmood Shafiee

  • A parametric whole life cost model for offshore wind farms

    Mahmood Shafiee;Feargal P. Brennan;Ines Armada Espinosa

  • Unmanned aerial drones for inspection of offshore wind turbines: A mission-critical failure analysis

    Mahmood Shafiee;Zeyu Zhou;Luyao Mei;Fateme Dinmohammadi

  • Bayesian Network Modelling for the Wind Energy Industry: An Overview

    Tosin Adedipe;Mahmood Shafiee;Enrico Zio;Enrico Zio

  • An Integrated FTA-FMEA Model for Risk Analysis of Engineering Systems: A Case Study of Subsea Blowout Preventers

    Mahmood Shafiee;Evenye Enjema;Athanasios Kolios

  • A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring

    Karl Ezra Pilario;Mahmood Shafiee;Yi Cao;Liyun Lao

  • Application of risk analysis in the liquefied natural gas (LNG) sector: An overview

    Isaac Animah;Mahmood Shafiee

  • A Fuzzy-FMEA risk assessment approach for offshore wind turbines

    Fateme Dinmohammadi;Mahmood Shafiee

  • Integrated energy hub system based on power-to-gas and compressed air energy storage technologies in the presence of multiple shiftable loads

    Mohammad Amin Mirzaei;Morteza Zare Oskouei;Behnam Mohammadi-Ivatloo;Abdolah Loni

  • Damage analysis of ship collisions with offshore wind turbine foundations

    D. Moulas;M. Shafiee;A. Mehmanparast

  • Mixed Kernel Canonical Variate Dissimilarity Analysis for Incipient Fault Monitoring in Nonlinear Dynamic Processes

    Karl Ezra S. Pilario;Karl Ezra S. Pilario;Yi Cao;Mahmood Shafiee

  • Techno-economic and environmental assessment of the coordinated operation of regional grid-connected energy hubs considering high penetration of wind power

    Morteza Zare Oskouei;Behnam Mohammadi-Ivatloo;Behnam Mohammadi-Ivatloo;Mehdi Abapour;Mahmood Shafiee

  • Machine learning techniques for robotic and autonomous inspection of mechanical systems and civil infrastructure

    Unknown

  • Strategic Operation of a Virtual Energy Hub With the Provision of Advanced Ancillary Services in Industrial Parks

    Morteza Zare Oskouei;Behnam Mohammadi-Ivatloo;Mehdi Abapour;Mahmood Shafiee

  • Decision support methods and applications in the upstream oil and gas sector

    Mahmood Shafiee;Isaac Animah;Babakalli Alkali;David Baglee

  • Identification of gas-liquid flow regimes using a non-intrusive Doppler ultrasonic sensor and virtual flow regime maps

    Somtochukwu Godfrey Nnabuife;Karl Ezra S. Pilario;Karl Ezra S. Pilario;Liyun Lao;Yi Cao

  • Determination of the Most Suitable Technology Transfer Strategy for Wind Turbines Using an Integrated AHP-TOPSIS Decision Model

    A. Dinmohammadi;Mahmood Shafiee

  • Risk Evaluation of Railway Rolling Stock Failures Using FMECA Technique: A Case Study of Passenger Door System

    Fateme Dinmohammadi;Babakalli Alkali;Mahmood Shafiee;Christophe Bérenguer;Christophe Bérenguer

Frequent Co-Authors

Maxim Finkelstein
Maxim Finkelstein University of the Free State
Behnam Mohammadi-Ivatloo
Behnam Mohammadi-Ivatloo Lappeenranta University of Technology
Amjad Anvari-Moghaddam
Amjad Anvari-Moghaddam Aalborg University
Yi Cao
Yi Cao Lund University
Michael Patriksson
Michael Patriksson Chalmers University of Technology
Christophe Bérenguer
Christophe Bérenguer Grenoble Alpes University
Mehdi Abapour
Mehdi Abapour University of Tabriz
Mousa Marzband
Mousa Marzband Northumbria University
Ming J. Zuo
Ming J. Zuo University of Alberta
Enrico Zio
Enrico Zio Polytechnic University of Milan

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