World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
62
Citations
13315
World Ranking
1464
National Ranking
604

Sarangapani Jagannathan 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 Sarangapani Jagannathan 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: 479 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Sarangapani Jagannathan 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 Sarangapani Jagannathan 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: 62 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Sarangapani Jagannathan is affiliated with the Missouri University of Science and Technology in the United States. Their research primarily lies within the fields of Computer Science and Engineering, with significant contributions in specialized areas such as Control and Systems Engineering, Artificial Intelligence, and Computational Theory and Mathematics.

Their work covers a range of main topics including:

  • Adaptive Dynamic Programming Control
  • Adaptive Control of Nonlinear Systems
  • Reinforcement Learning in Robotics
  • Distributed Control Multi-Agent Systems
  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Advanced Neural Network Applications

The scientist has contributed extensively to various publication venues, with a substantial number of papers appearing in:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Neural Networks and Learning Systems
  • International Journal of Adaptive Control and Signal Processing
  • IEEE Transactions on Automation Science and Engineering
  • IEEE Transactions on Cybernetics

Frequent collaborators include Enrique Herrera-Viedma, Eddie Tunstel, Andreas Nuernberger, Fei-Yue Wang, and Karen Panetta.

Recent papers authored by or involving Sarangapani Jagannathan cover topics from model compression to control systems and adaptive learning:

  • "A comprehensive survey on model compression and acceleration," 2020, Artificial Intelligence Review
  • "Event-Driven Off-Policy Reinforcement Learning for Control of Interconnected Systems," 2020, IEEE Transactions on Cybernetics
  • "A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices," 2021, Computers in Biology and Medicine
  • "Dual-Loop Optimal Control of a Robot Manipulator and Its Application in Warehouse Automation," 2020, IEEE Transactions on Automation Science and Engineering
  • "Optimal Adaptive Control of Uncertain Nonlinear Continuous-Time Systems With Input and State Delays," 2021, IEEE Transactions on Neural Networks and Learning Systems

In addition to journal papers, Sarangapani Jagannathan has published multiple books under Springer Science+Business Media, including several editions titled "Advanced Computing" from 2021 and 2022.

Best Publications

  • Output Feedback Control of a Quadrotor UAV Using Neural Networks

    T. Dierks;S. Jagannathan

  • Neural Network Control of Nonlinear Discrete-Time Systems

    Jagannathan Sarangapani

  • Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems

    Avimanyu Sahoo;Hao Xu;Sarangapani Jagannathan

  • Online Optimal Control of Affine Nonlinear Discrete-Time Systems With Unknown Internal Dynamics by Using Time-Based Policy Update

    T. Dierks;S. Jagannathan

  • Reinforcement Learning Neural-Network-Based Controller for Nonlinear Discrete-Time Systems With Input Constraints

    Pingan He;S. Jagannathan

  • Neural Network Control of Robot Arms and Nonlinear Systems

    F.L. Lewis;S. Jagannathan;A. Yeşildirek

  • Stochastic optimal control of unknown linear networked control system in the presence of random delays and packet losses

    Hao Xu;S. Jagannathan;F. L. Lewis

  • 2009 Special Issue: Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence

    Travis Dierks;Balaje T. Thumati;S. Jagannathan

  • Optimal control of affine nonlinear continuous-time systems

    T. Dierks;S. Jagannathan

  • Multilayer discrete-time neural-net controller with guaranteed performance

    S. Jagannathan;F.L. Lewis

  • Generalized Hamilton–Jacobi–Bellman Formulation -Based Neural Network Control of Affine Nonlinear Discrete-Time Systems

    Zheng Chen;S. Jagannathan

  • Reinforcement Learning Controller Design for Affine Nonlinear Discrete-Time Systems using Online Approximators

    Qinmin Yang;S. Jagannathan

  • Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence

    Travis Dierks;Balaje T. Thumati;S. Jagannathan

  • Identification of nonlinear dynamical systems using multilayered neural networks

    S. Jagannathan;F. L. Lewis

  • Optimal Control of Nonlinear Continuous-Time Systems in Strict-Feedback Form

    Hassan Zargarzadeh;Travis Dierks;Sarangapani Jagannathan

  • Smart farming system using sensors for agricultural task automation

    Chetan Dwarkani M;Ganesh Ram R;Jagannathan S;R. Priyatharshini

  • Neural Network-Based Optimal Adaptive Output Feedback Control of a Helicopter UAV

    D. Nodland;H. Zargarzadeh;S. Jagannathan

  • Neural Network Control of Mobile Robot Formations Using RISE Feedback

    T. Dierks;S. Jagannathan

  • Predictive Congestion Control Protocol for Wireless Sensor Networks

    M. Zawodniok;S. Jagannathan

  • Discrete-time neural net controller for a class of nonlinear dynamical systems

    S. Jagannathan;F.L. Lewis

Frequent Co-Authors

Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Qinmin Yang
Qinmin Yang Zhejiang University
Mariesa L. Crow
Mariesa L. Crow Missouri University of Science and Technology
Yilu Liu
Yilu Liu University of Tennessee at Knoxville
David Pommerenke
David Pommerenke Graz University of Technology
Keith Corzine
Keith Corzine University of California, Santa Cruz
David W. Casbeer
David W. Casbeer United States Air Force Research Laboratory
Robert Babuska
Robert Babuska Delft University of Technology
S. N. Balakrishnan
S. N. Balakrishnan Missouri University of Science and Technology

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