World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
11384
World Ranking
4391
National Ranking
1560

M.H. Nehrir publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where M.H. Nehrir sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 113 publications — 6th percentile

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

The last bar groups every scientist with 1,065 publications or more.

M.H. Nehrir D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where M.H. Nehrir sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 40 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2010 - IEEE Fellow For contributions to alternative energy power generation

Overview

M.H. Nehrir is affiliated with Montana State University in the United States and specializes in engineering, with a focus on electrical and electronic engineering, control and systems engineering, and automotive engineering. Their research addresses various aspects of power systems, smart grid management, and energy optimization technologies.

The scientist has contributed to 24 publications in the field of engineering, with 16 of those focusing specifically on electrical and electronic engineering. Their work covers several critical subfields and topics including:

  • Power System Optimization and Stability
  • Smart Grid Energy Management
  • Microgrid Control and Optimization
  • Optimal Power Flow Distribution
  • Smart Grid Security and Resilience
  • Advanced Battery Technologies Research
  • Advanced Battery Materials and Technologies

Nehrir has collaborated frequently with several co-authors, including Sepideh Radhoush, Bradley M. Whitaker, Maryam Bahramipanah, Zagros Shahooei, and Trevor Vannoy.

The scientist has published multiple papers in various venues, with a record showing a preference for journals and conferences related to energy and power systems. Notable publication venues include:

  • Energies
  • IEEE Transactions on Smart Grid
  • Sustainability
  • 2022 North American Power Symposium (NAPS)
  • Applied Sciences

Selected recent publications include:

  • A Review of Modeling, Management, and Applications of Grid-Connected Li-Ion Battery Storage Systems, 2022, IEEE Transactions on Smart Grid
  • A Review on State Estimation Techniques in Active Distribution Networks: Existing Practices and Their Challenges, 2022, Sustainability
  • Distribution System State Estimation and False Data Injection Attack Detection with a Multi-Output Deep Neural Network, 2023, Energies
  • An Overview of Supervised Machine Learning Approaches for Applications in Active Distribution Networks, 2023, Energies
  • Simultaneous State Estimation and Bad Data Detection on PMU Measurements in Active Distribution Power Networks, 2022, 2022 North American Power Symposium (NAPS)

Nehrir's research involves developing and applying advanced techniques for grid and microgrid control, state estimation, energy storage systems, and security measures to enhance power system performance and resilience. The scientist has particular expertise in battery technologies and smart grid management.

In recognition of their contributions to alternative energy power generation, Nehrir was named an IEEE Fellow in 2010.

Best Publications

  • Analytical approaches for optimal placement of distributed generation sources in power systems

    Caisheng Wang;M.H. Nehrir

  • A Review of Hybrid Renewable/Alternative Energy Systems for Electric Power Generation: Configurations, Control, and Applications

    M. H. Nehrir;C. Wang;K. Strunz;H. Aki

  • Power Management of a Stand-Alone Wind/Photovoltaic/Fuel Cell Energy System

    Caisheng Wang;M.H. Nehrir

  • Dynamic models and model validation for PEM fuel cells using electrical circuits

    Caisheng Wang;M.H. Nehrir;S.R. Shaw

  • Generation unit sizing and cost analysis for stand-alone wind, photovoltaic, and hybrid wind/PV systems

    W.D. Kellogg;M.H. Nehrir;G. Venkataramanan;V. Gerez

  • Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation systems

    D.B. Nelson;M.H. Nehrir;C. Wang

  • A Hybrid Islanding Detection Technique Using Voltage Unbalance and Frequency Set Point

    V. Menon;M.H. Nehrir

  • Modeling and Control of Fuel Cells: Distributed Generation Applications

    M. Nehrir;Caisheng Wang

  • Comprehensive Real-Time Microgrid Power Management and Control With Distributed Agents

    C. M. Colson;M. H. Nehrir

  • A Physically Based Dynamic Model for Solid Oxide Fuel Cells

    Caisheng Wang;M.H. Nehrir

  • Control of PEM fuel cell distributed generation systems

    C. Wang;M.H. Nehrir;H. Gao

  • A review of challenges to real-time power management of microgrids

    C.M. Colson;M.H. Nehrir

  • An approach to evaluate the general performance of stand-alone wind/photovoltaic generating systems

    M.H. Nehrir;B.J. Lameres;G. Venkataramanan;V. Gerez

  • Optimal unit sizing for a hybrid wind/photovoltaic generating system

    W. Kellogg;M.H. Nehrir;G. Venkataramanan;V. Gerez

  • Modeling and Control of Fuel Cells

    M. H. Nehrir;C. Wang

  • Power Management of Aggregate Electric Water Heater Loads by Voltage Control

    M.H. Nehrir;Runmin Jia;D.A. Pierre;D.J. Hammerstrom

  • Unit sizing of stand-alone hybrid wind/PV/fuel cell power generation systems

    D.B. Nelson;M.H. Nehrir;C. Wang

  • An online adaptive neuro-fuzzy power system stabilizer for multimachine systems

    Ruhua You;H.J. Eghbali;M.H. Nehrir

  • Towards real-time microgrid power management using computational intelligence methods

    C.M. Colson;M.H. Nehrir;S. A. Pourmousavi

  • Algorithms for distributed decision-making for multi-agent microgrid power management

    C. M. Colson;M. H. Nehrir

  • A Review of Hybrid Renewable/Alternative Energy Systems for Electric Power Generation: Configurations, Control, and Applications Special Task Force of the IEEE PES Renewable Energy Technologies Subcommittee, Energy Development and Power Generation Committee

    M. H. Nehrir;C. Wang;K. Strunz;H. Aki

Frequent Co-Authors

Caisheng Wang
Caisheng Wang Wayne State University
Giri Venkataramanan
Giri Venkataramanan University of Wisconsin–Madison
Venkata Dinavahi
Venkata Dinavahi University of Alberta
Kai Strunz
Kai Strunz Technical University of Berlin
Xavier Guillaud
Xavier Guillaud University of Lille
Zhixin Miao
Zhixin Miao University of South Florida
Ali Mehrizi-Sani
Ali Mehrizi-Sani Washington State University
Josep M. Guerrero
Josep M. Guerrero Universitat Politècnica de Catalunya
Mehdi Savaghebi
Mehdi Savaghebi Technical University of Denmark

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