World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
32
Citations
4653
World Ranking
6276
National Ranking
2074

R.M. Nelms 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 R.M. Nelms 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: 194 publications — 27th percentile

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

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

R.M. Nelms 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 R.M. Nelms 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

R.M. Nelms is affiliated with Auburn University in the United States and specializes in engineering research, particularly within the fields of electrical and electronic engineering and control and systems engineering. Their work also touches on building and construction, artificial intelligence, and electronic, optical, and magnetic materials.

Their research mainly focuses on topics such as microgrid control and optimization, multilevel inverters and converters, sensorless control of electric motors, electric motor design and analysis, power quality and harmonics, islanding detection in power systems, and smart grid energy management.

Recent papers authored by or involving R.M. Nelms include:

  • Ensemble Learning for Load Forecasting, 2020, IEEE Transactions on Green Communications and Networking
  • Pre-Trained Models for Non-Intrusive Appliance Load Monitoring, 2021, IEEE Transactions on Green Communications and Networking
  • Developing of Quaternary Pumped Storage Hydropower for Dynamic Studies, 2020, IEEE Transactions on Sustainable Energy
  • Transformer for Nonintrusive Load Monitoring: Complexity Reduction and Transferability, 2022, IEEE Internet of Things Journal
  • Comparison of Active and Reactive Power Oscillation Damping With PV Plants, 2021, IEEE Transactions on Industry Applications

Frequent co-authors in their research include Mohammad Alathamneh, Haneen Ghanayem, Eduard Muljadi, Jinho Kim, and Xingyu Yang.

R.M. Nelms's research is published most frequently in the following venues:

  • Energies
  • Energy Reports
  • IEEE Transactions on Industry Applications
  • IEEE Transactions on Green Communications and Networking
  • SoutheastCon 2022

Best Publications

  • Evaluation of DSP-Based PID and Fuzzy Controllers for DC–DC Converters

    Liping Guo;J.Y. Hung;R.M. Nelms

  • Implementation of a fuzzy controller for DC-DC converters using an inexpensive 8-b microcontroller

    T. Gupta;R.R. Boudreaux;R.M. Nelms;J.Y. Hung

  • Classical equivalent circuit parameters for a double-layer capacitor

    Unknown

  • Adaptive Electricity Scheduling in Microgrids

    Yingsong Huang;Shiwen Mao;R. M. Nelms

  • A resonant inverter for electronic ballast applications

    Unknown

  • PID controller modifications to improve steady-state performance of digital controllers for buck and boost converters

    Unknown

  • On Hierarchical Power Scheduling for the Macrogrid and Cooperative Microgrids

    Yu Wang;Shiwen Mao;R. M. Nelms

  • Modeling double-layer capacitor behavior using ladder circuits

    R.M. Nelms;D.R. Cahela;B.J. Tatarchuk

  • Comparative evaluation of sliding mode fuzzy controller and PID controller for a boost converter

    Liping Guo;John Y. Hung;R.M. Nelms

  • Analysis of double-layer capacitors supplying constant power loads

    R.L. Spyker;R.M. Nelms

  • Distributed Online Algorithm for Optimal Real-Time Energy Distribution in the Smart Grid

    Yu Wang;Shiwen Mao;R. M. Nelms

  • A capacitor-charging power supply using a series-resonant topology, constant on-time/variable frequency control, and zero-current switching

    Unknown

  • Solar Power Generation Forecasting With a LASSO-Based Approach

    Ningkai Tang;Shiwen Mao;Yu Wang;R. M. Nelms

  • Simulation and modeling of a DC-DC converter controlled by an 8-bit microcontroller

    R.R. Boudreaux;R.M. Nelms;J.Y. Hung

  • Digital controller design for buck and boost converters using root locus techniques

    Unknown

  • Adaptive Learning Hybrid Model for Solar Intensity Forecasting

    Yu Wang;Yinxing Shen;Shiwen Mao;Guanqun Cao

  • Using a personal computer to teach power system transients

    R. M. Nelms;G. B. Sheble;Steven R. Newton;L. L. Grigsby

  • Ensemble Learning for Load Forecasting

    Lingxiao Wang;Shiwen Mao;Bogdan M. Wilamowski;R. M. Nelms

  • Fuzzy logic average current-mode control for DC/DC converters using an inexpensive 8-bit microcontroller

    D. He;R.M. Nelms

  • Designing a parallel-loaded resonant inverter for an electronic ballast using the fundamental approximation

    M.C. Cosby;R.M. Nelms

  • A series resonant converter with constant on-time control for capacitor charging applications

    A.C. Lippincott;R.M. Nelms;M. Garbi;E. Strickland

  • Comparative evaluation of linear PID and fuzzy control for a boost converter

    L. Guo;J.Y. Hung;R.M. Nelms

  • A capacitor charging power supply utilizing a Ward converter

    R.M. Nelms;J.E. Schatz

  • Harmonic Analysis of a Space Vector PWM Inverter Using the Method of Multiple Pulses

    A.W. Leedy;R.M. Nelms

  • A comparison of MOSFETs, IGBTs, and MCTs for solid state circuit breakers

    R.R. Boudreaux;R.M. Nelms

  • Digital power-factor correction for a capacitor-charging power supply

    R.L. Newsom;W.C. Dillard;R.M. Nelms

Frequent Co-Authors

Shiwen Mao
Shiwen Mao Auburn University
Eduard Muljadi
Eduard Muljadi Auburn University
Gerald B. Sheblé
Gerald B. Sheblé Portland State University
Vahan Gevorgian
Vahan Gevorgian National Renewable Energy Laboratory
Bogdan M. Wilamowski
Bogdan M. Wilamowski Auburn University

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