World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
37
Citations
8981
World Ranking
5026
National Ranking
1747

Anil V. Rao 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 Anil V. Rao 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.

Anil V. Rao 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 Anil V. Rao 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: 37 D-Index — 27th percentile

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

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

Overview

Anil V. Rao is affiliated with the University of Florida in the United States. Their research work primarily spans the field of Engineering, with a strong focus on Aerospace Engineering and several related subfields. The scientist's publications cover a broad spectrum of topics within this domain.

Rao's main fields of study include Aerospace Engineering, Astronomy and Astrophysics, Applied Mathematics, Control and Systems Engineering, and Computational Mechanics. These areas form the foundation of their extensive research activity.

Their primary research topics include:

  • Spacecraft Dynamics and Control
  • Aerospace Engineering and Control Systems
  • Gas Dynamics and Kinetic Theory
  • Astro and Planetary Science
  • Space Satellite Systems and Control
  • Guidance and Control Systems
  • Computational Fluid Dynamics and Aerodynamics

Rao has coauthored multiple papers with several frequent collaborators, including Alexander T. Miller, Elisha R. Pager, Brittanny V. Holden, Mrinal Kumar, and William W. Hager. These collaborations have contributed to a sustained presence in aerospace and control systems research.

Most of Rao's publications appear in a diverse set of venues. The frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of Spacecraft and Rockets
  • AIAA SCITECH 2022 Forum
  • AIAA Scitech 2020 Forum
  • Optimal Control Applications and Methods

Significant recent papers authored or coauthored by Rao encompass various aspects of optimal control, computational methods, and wireless communications. Selected works are:

  • "Learning Link Schedules in Self-Backhauled Millimeter Wave Cellular Networks," 2020, IEEE Transactions on Wireless Communications
  • "CGPOPS," 2020, ACM Transactions on Mathematical Software
  • "Method for solving chance constrained optimal control problems using biased kernel density estimators," 2020, Optimal Control Applications and Methods
  • "Modified Legendre-Gauss-Radau Collocation Method for Optimal Control Problems with Nonsmooth Solutions," 2021, Journal of Optimization Theory and Applications
  • "Method for solving bang-bang and singular optimal control problems using adaptive Radau collocation," 2022, Computational Optimization and Applications

The body of work reflects an emphasis on computational optimization and advanced control techniques, particularly applied to aerospace systems and related fields. The consistent production of scholarly articles and conference papers underscores a focus on both theoretical and applied aspects of engineering and applied mathematics.

Best Publications

  • GPOPS-II: A MATLAB Software for Solving Multiple-Phase Optimal Control Problems Using hp-Adaptive Gaussian Quadrature Collocation Methods and Sparse Nonlinear Programming

    Michael A. Patterson;Anil V. Rao

  • Brief paper: A unified framework for the numerical solution of optimal control problems using pseudospectral methods

    Divya Garg;Michael Patterson;William W. Hager;Anil V. Rao

  • Direct Trajectory Optimization and Costate Estimation via an Orthogonal Collocation Method

    David A. Benson;Geoffrey T. Huntington;Tom P. Thorvaldsen;Anil V. Rao

  • Corrigendum: Algorithm 902: GPOPS, a MATLAB software for solving multiple-phase optimal control problems using the gauss pseudospectral method

    Anil V. Rao;David A. Benson;Christopher Darby;Michael A. Patterson

  • An hp‐adaptive pseudospectral method for solving optimal control problems

    Christopher L. Darby;William W. Hager;Anil V. Rao

  • Brief paper: Pseudospectral methods for solving infinite-horizon optimal control problems

    Divya Garg;William W. Hager;Anil V. Rao

  • Direct trajectory optimization and costate estimation of finite-horizon and infinite-horizon optimal control problems using a Radau pseudospectral method

    Divya Garg;Michael A. Patterson;Camila Francolin;Christopher L. Darby

  • Evaluation of Direct Collocation Optimal Control Problem Formulations for Solving the Muscle Redundancy Problem

    Friedl De Groote;Allison L. Kinney;Anil V. Rao;Benjamin J. Fregly

  • Direct Trajectory Optimization Using a Variable Low-Order Adaptive Pseudospectral Method

    Christopher L. Darby;William W. Hager;Anil V. Rao

  • Optimal Reconfiguration of Spacecraft Formations Using the Gauss Pseudospectral Method

    Geoffrey T. Huntington;Anil V. Rao

  • A ph mesh refinement method for optimal control

    Michael A. Patterson;William W. Hager;Anil V. Rao

  • ENTRY TRAJECTORY TRACKING LAW VIA FEEDBACK LINEARIZATION

    Sanjay Bharadwaj;Anil V. Rao;Kenneth D. Mease

  • Exploiting Sparsity in Direct Collocation Pseudospectral Methods for Solving Optimal Control Problems

    Michael A. Patterson;Anil V. Rao

  • Adaptive mesh refinement method for optimal control using nonsmoothness detection and mesh size reduction

    Fengjin Liu;William W. Hager;Anil V. Rao

  • Muscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions.

    Andrew J. Meyer;Ilan Eskinazi;Jennifer N. Jackson;Anil V. Rao

  • A Comparison of Accuracy and Computational Efficiency of Three Pseudospectral Methods

    Geoffrey Huntington;David Benson;Anil Rao

  • Optimal control of Formula One car energy recovery systems

    David J. N. Limebeer;Giacomo Perantoni;Anil V. Rao

  • Minimum-Time Trajectory Optimization of Low-Thrust Earth-Orbit Transfers with Eclipsing

    Kathryn F. Graham;Anil V. Rao

  • AN OVERVIEW OF THREE PSEUDOSPECTRAL METHODS FOR THE NUMERICAL SOLUTION OF OPTIMAL CONTROL PROBLEMS

    Divya Garg;Michael A. Patterson;William W. Hager;Anil V. Rao

  • Adaptive Mesh Refinement Method for Optimal Control Using Decay Rates of Legendre Polynomial Coefficients

    Fengjin Liu;William W. Hager;Anil V. Rao

Frequent Co-Authors

William W. Hager
William W. Hager University of Florida
Benjamin J. Fregly
Benjamin J. Fregly Rice University
David J. N. Limebeer
David J. N. Limebeer University of Johannesburg
Timothy A. Davis
Timothy A. Davis Texas A&M University
Raphael T. Haftka
Raphael T. Haftka University of Florida
Silvia Ferrari
Silvia Ferrari Cornell University

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