World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
4104
World Ranking
9581
National Ranking
7

Mehdi Bagheri 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 Mehdi Bagheri 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: 214 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Mehdi Bagheri 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 Mehdi Bagheri 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: 32 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Mehdi Bagheri is affiliated with Nazarbayev University in Kazakhstan and has a research focus concentrated within the field of Engineering, specifically Electrical and Electronic Engineering. Their work extends into several subfields, including Control and Systems Engineering, Automotive Engineering, Artificial Intelligence, and Computer Vision and Pattern Recognition.

Their research touches on various topics in energy and power systems, incorporating areas such as Advanced Battery Technologies Research, Energy Load and Power Forecasting, Electric Power System Optimization, Microgrid Control and Optimization, Smart Grid Energy Management, Wireless Power Transfer Systems, and Power Transformer Diagnostics and Insulation.

Among their recent publications are:

  • Improved EMD-Based Complex Prediction Model for Wind Power Forecasting, 2020, IEEE Transactions on Sustainable Energy
  • Transformer Fault Prognosis Using Deep Recurrent Neural Network Over Vibration Signals, 2020, IEEE Transactions on Instrumentation and Measurement
  • A New Combinatory Approach for Wind Power Forecasting, 2020, IEEE Systems Journal
  • Power Management of Microgrids Including PHEVs Based on Maximum Employment of Renewable Energy Resources, 2020, IEEE Transactions on Industry Applications
  • Multi-Modal Data Fusion Using Deep Neural Network for Condition Monitoring of High Voltage Insulator, 2020, IEEE Access

Frequent publication venues where their research appears include:

  • IEEE Transactions on Industry Applications
  • IEEE Access
  • IET Renewable Power Generation
  • 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
  • IEEE Systems Journal

Collaborations form an integral part of their career, with recurring coauthors such as:

  • Seyed Saeid Heidari Yazdi
  • Amin Zollanvari
  • Oveis Abedinia
  • Gevork B. Gharehpetian
  • Venera Nurmanova

Best Publications

  • IN-YOLO: Real-Time Detection of Outdoor High Voltage Insulators Using UAV Imaging

    Diana Sadykova;Damira Pernebayeva;Mehdi Bagheri;Alex James

  • Wireless Charging Techniques for UAVs: A Review, Reconceptualization, and Extension

    Maxim Lu;Mehdi Bagheri;Alex P. James;Toan Phung

  • Advanced transformer winding deformation diagnosis: moving from off-line to on-line

    M. Bagheri;M. S. Naderi;T. Blackburn

  • Improved EMD-Based Complex Prediction Model for Wind Power Forecasting

    Oveis Abedinia;Mohamed Lotfi;Mehdi Bagheri;Behrouz Sobhani

  • Frequency response analysis and short-circuit impedance measurement in detection of winding deformation within power transformers

    Mehdi Bagheri;Mohammad Salay Naderi;Trevor Blackburn;Toan Phung

  • Transformer Fault Prognosis Using Deep Recurrent Neural Network Over Vibration Signals

    Amin Zollanvari;Kassymzhomart Kunanbayev;Saeid Akhavan Bitaghsir;Mehdi Bagheri

  • City-integrated renewable energy design for low-carbon and climate-resilient communities

    Mehdi Bagheri;Seyed Hamid Delbari;Mina Pakzadmanesh;Christopher A. Kennedy

  • Optimal planning of hybrid renewable energy infrastructure for urban sustainability: Green Vancouver

    Mehdi Bagheri;Navid Shirzadi;Elahe Bazdar;Christopher A. Kennedy

  • Transformer Fault Condition Prognosis Using Vibration Signals Over Cloud Environment

    Mehdi Bagheri;Amin Zollanvari;Svyatoslav Nezhivenko

  • Computational fluid dynamics (CFD) modeling of VUV/UV photoreactors for water treatment

    Mehdi Bagheri;Madjid Mohseni

  • Influence of temperature and moisture content on frequency response analysis of transformer winding

    Mehdi Bagheri;B.T. Phung;Trevor Blackburn

  • Green growth planning: A multi-factor energy input-output analysis of the Canadian economy

    Mehdi Bagheri;Zeus Guevara;Mohammad Alikarami;Christopher A. Kennedy

  • A New Combinatory Approach for Wind Power Forecasting

    Oveis Abedinia;Mehdi Bagheri;Mohammad Salay Naderi;Noradin Ghadimi

  • Simple yet accurate prediction method for sublimation enthalpies of organic contaminants using their molecular structure

    Mehdi Bagheri;Mehrdad Bagheri;Amir Hossein Gandomi;Alexander Golbraikh

  • Power Management of Microgrids Including PHEVs Based on Maximum Employment of Renewable Energy Resources

    Ehsan Fouladi;Hamid Reza Baghaee;Mehdi Bagheri;G. B. Gharehpetian

  • Enhancing Power Quality in Microgrids With a New Online Control Strategy for DSTATCOM Using Reinforcement Learning Algorithm

    Mehdi Bagheri;Venera Nurmanova;Oveis Abedinia;Mohammad Salay Naderi

  • Transformer frequency response analysis: mathematical and practical approach to interpret mid-frequency oscillations

    Mehdi Bagheri;B. T. Phung;Trevor Blackburn

  • Optimization of a syngas-fueled SOFC-based multigeneration system: Enhanced performance with biomass and gasification agent selection

    Unknown

  • Multi-Modal Data Fusion Using Deep Neural Network for Condition Monitoring of High Voltage Insulator

    Damira Mussina;Aidana Irmanova;Prashant K. Jamwal;Mehdi Bagheri

  • A New Transformer FRA Measurement Technique to Reach Smart Interpretation for Inter-Disk Faults

    Venera Nurmanova;Mehdi Bagheri;Amin Zollanvari;Kamilla Aliakhmet

  • Precise Analysis on Mutual Inductance Variation in Dynamic Wireless Charging of Electric Vehicle

    Ainur Rakhymbay;Anvar Khamitov;Mehdi Bagheri;Batyrbek Alimkhanuly

  • FRA vs. short circuit impedance measurement in detection of mechanical defects within large power transformer

    Mehdi Bagheri;Mohammad Salay Naderi;Trevor Blackburn;Toan Phung

  • High voltage outdoor insulator surface condition evaluation using aerial insulator images

    Damira Pernebayeva;Aidana Irmanova;Diana Sadykova;Mehdi Bagheri

  • BPSO-MLR and ANFIS based modeling of lower flammability limit

    Mehdi Bagheri;Mansoure Rajabi;Marziyeh Mirbagheri;Mohammad Amin

  • A comparative data mining approach for the prediction of energy recovery potential from various municipal solid waste

    Mehdi Bagheri;Reza Esfilar;Mohammad Sina Golchi;Christopher A. Kennedy

  • Nonlinear molecular based modeling of the flash point for application in inherently safer design

    Mehdi Bagheri;Mehrdad Bagheri;Farzane Heidari;Ali Fazeli

Frequent Co-Authors

B.T. Phung
B.T. Phung University of New South Wales
Gevork B. Gharehpetian
Gevork B. Gharehpetian Amirkabir University of Technology
Sanjib Kumar Panda
Sanjib Kumar Panda National University of Singapore
Noradin Ghadimi
Noradin Ghadimi Islamic Azad University Ardabil
Christopher Kennedy
Christopher Kennedy University of Victoria
Madjid Mohseni
Madjid Mohseni University of British Columbia
Hamid Reza Baghaee
Hamid Reza Baghaee Tarbiat Modares University
Amir H. Gandomi
Amir H. Gandomi University of Technology Sydney
Joao P. S. Catalao
Joao P. S. Catalao University of Porto

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