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Rajan Rakkiyappan

Rajan Rakkiyappan

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Electronics and Electrical Engineering
India
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
65
Citations
11265
World Ranking
1248
National Ranking
6

Rajan Rakkiyappan 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 Rajan Rakkiyappan 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: 204 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Rajan Rakkiyappan 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 Rajan Rakkiyappan 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: 65 D-Index — 83rd percentile

83% 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

  • 2026 - Research.com Electronics and Electrical Engineering in India Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in India Leader Award
  • 2023 - Research.com Electronics and Electrical Engineering in India Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in India Leader Award

Overview

Rajan Rakkiyappan is affiliated with Bharathiar University in India and has contributed extensively to research in Computer Science, primarily focusing on areas such as Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence, Control and Systems Engineering, and Computer Vision and Pattern Recognition.

Their work encompasses a diverse range of topics including Neural Networks Stability and Synchronization, stochastic dynamics and bifurcation, Nonlinear Dynamics and Pattern Formation, Neural Networks and Applications, Stability and Control of Uncertain Systems, Chaos control and synchronization, and Fuzzy Logic and Control Systems.

Rajan Rakkiyappan has published papers in numerous academic venues. The most frequent publication outlets include:

  • Mathematics and Computers in Simulation
  • Communications in Nonlinear Science and Numerical Simulation
  • Neurocomputing
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • Journal of the Franklin Institute

Recent notable papers by Rajan Rakkiyappan include:

  • Event-Triggered Impulsive Controller Design for Synchronization of Delayed Chaotic Neural Networks and Its Fractal Reconstruction: An Application to Image Encryption (2022) published in Applied Mathematical Modelling
  • Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays (2021) published in Neural Networks
  • Stabilization of stochastic delayed systems: Event-triggered impulsive control (2021) published in Applied Mathematics and Computation
  • Complex Pythagorean fuzzy einstein aggregation operators in selecting the best breed of Horsegram (2021) published in Expert Systems with Applications
  • Projective Multi-Synchronization of Fractional-order Complex-valued Coupled Multi-stable Neural Networks with Impulsive Control (2021) published in Neurocomputing

Their frequent collaborators include Ardak Kashkynbayev, S. S. Mohanrasu, K. Udhayakumar, K. Janani, and Fathalla A. Rihan.

Best Publications

  • Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication

    Shanmugam Lakshmanan;Mani Prakash;Chee Peng Lim;Rajan Rakkiyappan

  • Existence and uniform stability analysis of fractional-order complex-valued neural networks with time delays.

    R. Rakkiyappan;Jinde Cao;G. Velmurugan

  • Finite-time synchronization of fractional-order memristor-based neural networks with time delays

    G. Velmurugan;R. Rakkiyappan;Jinde Cao

  • Exponential input-to-state stability of stochastic Cohen–Grossberg neural networks with mixed delays

    Quanxin Zhu;Jinde Cao;R. Rakkiyappan

  • Adaptive Synchronization of Reaction–Diffusion Neural Networks and Its Application to Secure Communication

    Lakshmanan Shanmugam;Prakash Mani;Rakkiyappan Rajan;Young Hoon Joo

  • Adaptive Fractional Fuzzy Integral Sliding Mode Control for PMSM Model

    Prakash Mani;Rakkiyappan Rajan;Lakshmanan Shanmugam;Young Hoon Joo

  • Fractional-order delayed predator–prey systems with Holling type-II functional response

    FA Rihan;Shanmugam Lakshmanan;AH Hashish;R Rakkiyappan

  • Existence and global stability analysis of equilibrium of fuzzy cellular neural networks with time delay in the leakage term under impulsive perturbations

    Xiaodi Li;R. Rakkiyappan;P. Balasubramaniam

  • Finite-time stability analysis of fractional-order complex-valued memristor-based neural networks with time delays

    R. Rakkiyappan;G. Velmurugan;Jinde Cao;Jinde Cao

  • Interval-valued intuitionistic hesitant fuzzy entropy based VIKOR method for industrial robots selection

    Samayan Narayanamoorthy;Selvaraj Geetha;R. Rakkiyappan;Young Hoon Joo

  • Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption

    Prakash Mani;Rakkiyappan Rajan;Lakshmanan Shanmugam;Young Hoon Joo

  • Impulsive controller design for exponential synchronization of chaotic neural networks with mixed delays

    Xiaodi Li;R. Rakkiyappan

  • Exponential H ∞ filtering analysis for discrete-time switched neural networks with random delays using sojourn probabilities

    JinDe Cao;R. Rakkiyappan;K. Maheswari;A. Chandrasekar

  • Existence, uniqueness and stability analysis of recurrent neural networks with time delay in the leakage term under impulsive perturbations

    Xiaodi Li;Xilin Fu;Xilin Fu;P. Balasubramaniam;R. Rakkiyappan

  • Dissipativity analysis of memristor-based complex-valued neural networks with time-varying delays

    Xiaodi Li;R. Rakkiyappan;G. Velmurugan

  • Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control

    Quanxin Zhu;R. Rakkiyappan;A. Chandrasekar

  • Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays

    Rajan Rakkiyappan;Arunachalam Chandrasekar;Jinde Cao

  • Global exponential stability results for neutral-type impulsive neural networks

    R. Rakkiyappan;P. Balasubramaniam;Jinde Cao

  • Delay-dependent stability of neutral systems with time-varying delays using delay-decomposition approach

    P. Balasubramaniam;R. Krishnasamy;R. Rakkiyappan

  • Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach

    A. Chandrasekar;R. Rakkiyappan;Jinde Cao;Jinde Cao;S. Lakshmanan

Frequent Co-Authors

Jinde Cao
Jinde Cao Southeast University
Pagavathigounder Balasubramaniam
Pagavathigounder Balasubramaniam Gandhigram Rural Institute
Ju H. Park
Ju H. Park Yeungnam University
Fathalla A. Rihan
Fathalla A. Rihan United Arab Emirates University
Xiaodi Li
Xiaodi Li Shandong Normal University
Chee Peng Lim
Chee Peng Lim Swinburne University of Technology
Young Hoon Joo
Young Hoon Joo Kunsan National University
Oh-Min Kwon
Oh-Min Kwon Chungbuk National University
Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Dumitru Baleanu
Dumitru Baleanu Lebanese American University

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