World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
6055
World Ranking
7370
National Ranking
2016

Mohammad E. Khodayar 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 Mohammad E. Khodayar 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: 90 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Mohammad E. Khodayar 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 Mohammad E. Khodayar 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: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Mohammad E. Khodayar is affiliated with Southern Methodist University in the United States, focusing mainly on engineering with a specialization in electrical and electronic engineering. Their research spans subfields including control and systems engineering, artificial intelligence, safety, risk, reliability and quality, as well as automotive engineering.

The scientist's work concentrates on several key topics related to power systems and energy management, featuring prominently in the areas of smart grid energy management, microgrid control and optimization, and optimal power flow distribution. Other important research themes include energy load and power forecasting, power system reliability and maintenance, advanced battery technologies research, and electric vehicles and infrastructure.

Khodayar has contributed to multiple recent papers, highlighting their involvement in power systems and smart grid research. Notable publications include:

  • Deep learning in power systems research: A review, 2020, CSEE Journal of Power and Energy Systems
  • Data-Driven Distributionally Robust Co-Optimization of P2P Energy Trading and Network Operation for Interconnected Microgrids, 2021, IEEE Transactions on Smart Grid
  • Distributionally Robust Multistage Dispatch With Discrete Recourse of Energy Storage Systems, 2024, IEEE Transactions on Power Systems
  • Graph-Based Faulted Line Identification Using Micro-PMU Data in Distribution Systems, 2020, IEEE Transactions on Smart Grid
  • Spatiotemporal Behind-the-Meter Load and PV Power Forecasting via Deep Graph Dictionary Learning, 2020, IEEE Transactions on Neural Networks and Learning Systems

Their work has been disseminated primarily through established publication venues, with the most frequent including:

  • IEEE Transactions on Smart Grid
  • International Journal of Electrical Power & Energy Systems
  • Electric Power Systems Research
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Sustainable Energy

Collaboration forms a significant component of their research activities, having coauthored multiple papers with several scholars. Frequent collaborators include:

  • Mahdi Khodayar
  • Jianhui Wang
  • Seyed Saeed Fazlhashemi
  • Abdulraheem H. Alobaidi
  • Mohammad Ramin Feizi

Best Publications

  • Hourly Coordination of Electric Vehicle Operation and Volatile Wind Power Generation in SCUC

    M. E. Khodayar;Lei Wu;M. Shahidehpour

  • Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting

    Mahdi Khodayar;Okyay Kaynak;Mohammad E. Khodayar

  • Integration of High Reliability Distribution System in Microgrid Operation

    M. E. Khodayar;M. Barati;M. Shahidehpour

  • Only Connect: Microgrids for Distribution System Restoration

    Liang Che;Mohammad Khodayar;Mohammad Shahidehpour

  • Accelerating the Global Adoption of Electric Vehicles: Barriers and Drivers

    Ghazale Haddadian;Mohammad Khodayar;Mohammad Shahidehpour

  • Adaptive Protection System for Microgrids: Protection practices of a functional microgrid system.

    Liang Che;Mohammad E. Khodayar;Mohammad Shahidehpour

  • Enhancing the Dispatchability of Variable Wind Generation by Coordination With Pumped-Storage Hydro Units in Stochastic Power Systems

    Mohammad E. Khodayar;Mohammad Shahidehpour;Lei Wu

  • Resilient operation of multiple energy carrier microgrids

    Saeed Dehghan Manshadi;Mohammad Khodayar

  • Wireless Charging of Electric Vehicles in Electricity and Transportation Networks

    Saeed D. Manshadi;Mohammad E. Khodayar;Khaled Abdelghany;Halit Uster

  • Deep learning in power systems research: A review

    Mahdi Khodayar;Guangyi Liu;Jianhui Wang;Mohammad E. Khodayar

  • Convolutional Graph Autoencoder: A Generative Deep Neural Network for Probabilistic Spatio-Temporal Solar Irradiance Forecasting

    Mahdi Khodayar;Saeed Mohammadi;Mohammad E. Khodayar;Jianhui Wang

  • Hourly Demand Response in Day-Ahead Scheduling Considering Generating Unit Ramping Cost

    Hongyu Wu;Mohammad Shahidehpour;Mohammad E. Khodayar

  • Data-Driven Distributionally Robust Co-Optimization of P2P Energy Trading and Network Operation for Interconnected Microgrids

    Jiayong Li;Mohammad E. Khodayar;Jianhui Wang;Bin Zhou

  • Stochastic day-ahead scheduling of multiple energy Carrier microgrids with demand response

    Mohammad H. Shams;Majid Shahabi;Mohammad E. Khodayar

  • Cutting Campus Energy Costs with Hierarchical Control: The Economical and Reliable Operation of a Microgrid

    Mohammad Shahidehpour;Mohammad Khodayar

  • Electric Vehicle Mobility in Transmission-Constrained Hourly Power Generation Scheduling

    M. E. Khodayar;Lei Wu;Zuyi Li

  • A hierarchical electricity market structure for the smart grid paradigm

    Saeed Dehghan Manshadi;Mohammad Khodayar

  • Planning Fully Renewable Powered Charging Stations on Highways: A Data-Driven Robust Optimization Approach

    Rui Xie;Wei Wei;Mohammad E. Khodayar;Jianhui Wang

  • Risk-Constrained Coordination of Cascaded Hydro Units With Variable Wind Power Generation

    L. V. L. Abreu;M. E. Khodayar;M. Shahidehpour;Lei Wu

  • Using genetic alghoritm for distributed generation allocation to reduce losses and improve voltage profile

    Y. Alinejad-Beromi;M. Sedighizadeh;M.R. Bayat;M.E. Khodayar

  • Deep Learning-Based Time-Varying Parameter Identification for System-Wide Load Modeling

    Mingjian Cui;Mahdi Khodayar;Chen Chen;Xinan Wang

  • Stochastic Price-Based Coordination of Intrahour Wind Energy and Storage in a Generation Company

    M. E. Khodayar;M. Shahidehpour

Frequent Co-Authors

Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
Ashkan Rahimi-Kian
Ashkan Rahimi-Kian University of Tehran
Lei Wu
Lei Wu Stevens Institute of Technology
Mehdi Ehsan
Mehdi Ehsan Sharif University of Technology
Jianhui Wang
Jianhui Wang Southern Methodist University
Okyay Kaynak
Okyay Kaynak Boğaziçi University
Magnus Korpås
Magnus Korpås Norwegian University of Science and Technology
Shengwei Mei
Shengwei Mei Tsinghua University
Jacob Østergaard
Jacob Østergaard Technical University of Denmark
Mostafa Sedighizadeh
Mostafa Sedighizadeh Shahid Beheshti University

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