World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
43
Citations
6853
World Ranking
3930
National Ranking
1413

I. Michael Ross 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 I. Michael Ross 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: 131 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

I. Michael Ross 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 I. Michael Ross 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: 43 D-Index — 45th percentile

45% 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

  • 1982 - Member of the National Academy of Sciences

Overview

I. Michael Ross is affiliated with the Naval Postgraduate School in the United States. Their research encompasses fields such as Engineering, Mathematics, and Computer Science, with a total of 39 publications spread primarily across these disciplines. The main subfields of study addressed by Ross include Aerospace Engineering, Numerical Analysis, Computer Vision and Pattern Recognition, Control and Systems Engineering, and Computational Mechanics.

The scientist's primary research topics cover Spacecraft Dynamics and Control, Robotic Path Planning Algorithms, Advanced Optimization Algorithms Research, Control and Dynamics of Mobile Robots, Numerical Methods for Differential Equations, Sparse and Compressive Sensing Techniques, and Astro and Planetary Science.

Frequent publication venues include the Journal of Guidance Control and Dynamics, arXiv (Cornell University), Journal of Computational and Applied Mathematics, IEEE Control Systems, and Applied Mathematics and Computation. Ross has contributed multiple papers to these journals and repositories.

Frequent co-authors working alongside I. Michael Ross include Ronald J. Proulx, Mark Karpenko, Julie K. Halverson, Yohannes Tedla, and Travis Lippman.

Notable recent papers authored by I. Michael Ross are:

  • Enhancements to the DIDO Optimal Control Toolbox, 2020, arXiv (Cornell University)
  • Generating Nesterov's accelerated gradient algorithm by using optimal control theory for optimization, 2022, Journal of Computational and Applied Mathematics
  • An Optimal Control Theory for the Traveling Salesman Problem and Its Variants, 2020, arXiv (Cornell University)
  • Fast Attitude Maneuvers for NASA's Lunar Reconnaissance Orbiter: Practical Flight Application of Attitude Guidance using Birkhoff Pseudospectral Theory and Hamiltonian Programming, 2024, IEEE Control Systems
  • A universal Birkhoff pseudospectral method for solving boundary value problems, 2023, Applied Mathematics and Computation

Ross is a member of the National Academy of Sciences, a position held since 1982.

Best Publications

  • A review of pseudospectral optimal control: From theory to flight

    I. Michael Ross;Mark Karpenko

  • Pseudospectral Knotting Methods for Solving Nonsmooth Optimal Control Problems

    I. Michael Ross;Fariba Fahroo

  • Legendre pseudospectral approximations of optimal control problems

    I. Michael Ross;Fariba Fahroo

  • A pseudospectral method for the optimal control of constrained feedback linearizable systems

    Unknown

  • Spectral Algorithm for Pseudospectral Methods in Optimal Control

    Qi Gong;Fariba Fahroo;I. Michael Ross

  • Pseudospectral Methods for Infinite-Horizon Optimal Control Problems

    Fariba Fahroo;I. Michael Ross

  • Connections between the covector mapping theorem and convergence of pseudospectral methods for optimal control

    Qi Gong;I. Michael Ross;Wei Kang;Fariba Fahroo

  • Advances in Pseudospectral Methods for Optimal Control

    Fariba Fahroo;I. Michael Ross

  • Rapid Verification Method for the Trajectory Optimization of Reentry Vehicles

    Scott Josselyn;I. Michael Ross

  • Issues in the real-time computation of optimal control

    I. Michael Ross;Fariba Fahroo

  • Hybrid Optimal Control Framework for Mission Planning

    I. Michael Ross;Christopher N. D'Souza

  • Optimal Feedback Control: Foundations, Examples, and Experimental Results for a New Approach

    I. M. Ross;Pooya Sekhavat;Andrew Fleming;Qi Gong

  • Pseudospectral methods for optimal motion planning of differentially flat systems

    Unknown

  • Optimal Nonlinear Feedback Guidance for Reentry Vehicles

    Kevin P. Bollino;I. Michael Ross;David D. Doman

  • Linearized Dynamic Equations for Spacecraft Subject to J Perturbations

    I. Michael Ross

  • Low-Thrust, High-Accuracy Trajectory Optimization

    I. Michael Ross;Qi Gong;Pooya Sekhavat

  • Real-Time Computation of Neighboring Optimal Control Laws

    I. Michael Ross;Fariba Fahroo;Hui Yan

  • 6 – Space Trajectory Optimization and L1-Optimal Control Problems

    I. Michael Ross

  • Towards Real-Time Computation of Optimal Controls for Nonlinear Systems

    I. Michael Ross;Fariba Fahroo;John Strizzi

  • Pseudospectral Motion Planning for Autonomous Vehicles

    Qi Gong;L. R. Lewis;I. Michael Ross

  • Pseudospectral Feedback Control for Three-Axis Magnetic Attitude Stabilization in Elliptic Orbits

    Hui Yan;I. Michael Ross;Kyle T. Alfriend

  • A roadmap for optimal control: the right way to commute.

    I Michael Ross

  • Direct Trajectory Optimization by a Chebyshev Pseudospectral Method ; Journal of Guidance, Control, and Dynamics, v. 25, 2002 ; pp. 160-166

    Fahroo Fahroo;I. Michael Ross

Frequent Co-Authors

Andrew J. Fleming
Andrew J. Fleming University of Newcastle Australia
Kyle T. Alfriend
Kyle T. Alfriend Texas A&M University
David B. Doman
David B. Doman United States Air Force Research Laboratory
Walter Murray
Walter Murray Stanford University

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Related Online Degrees & Career Pathways

For students interested in Electronics and Electrical Engineering, exploring related online degrees can open doors to diverse career paths. For instance, a bachelor of project management online provides essential skills in overseeing engineering projects and can enhance leadership opportunities in tech-driven industries.

Working professionals seeking to advance their education will find numerous bachelor degree programs for working adults that offer flexible schedules. These programs are designed to balance career commitments with academic growth, making career transitions smoother and more efficient.

Further specialization can be achieved through programs like a master’s in instructional design, which prepares graduates to develop educational technologies and training programs within engineering fields.

Additionally, pursuing a competency based masters degree allows students to progress according to their mastery of skills, providing a personalized learning experience that can accelerate career advancement in technology and engineering sectors.

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