World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
32
Citations
8039
World Ranking
6186
National Ranking
2042

Vijay Devabhaktuni 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 Vijay Devabhaktuni 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: 161 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Vijay Devabhaktuni 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 Vijay Devabhaktuni 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

Vijay Devabhaktuni is affiliated with Illinois State University in the United States. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions in artificial intelligence, electrical and electronic engineering, and aerospace engineering. The subfields where they have concentrated their work include Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

The main research topics covered by Vijay Devabhaktuni include:

  • Anomaly Detection Techniques and Applications
  • Microwave Engineering and Waveguides
  • Electromagnetic Compatibility and Noise Suppression
  • Robotics and Sensor-Based Localization
  • AI in cancer detection
  • UAV Applications and Optimization
  • Automated Road and Building Extraction

They have published extensively in venues such as:

  • IEEE Access
  • Applied Sciences
  • arXiv (Cornell University)
  • Remote Sensing of Environment
  • Journal of Hydrology

Notable recent papers include:

  • "U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications," 2021, IEEE Access
  • "Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning," 2021, Remote Sensing of Environment
  • "Short- and mid-term forecasts of actual evapotranspiration with deep learning," 2022, Journal of Hydrology
  • "Recent advances and challenges in uncertainty visualization: a survey," 2021, Journal of Visualization
  • "Jamming Detection and Classification in OFDM-Based UAVs via Feature- and Spectrogram-Tailored Machine Learning," 2022, IEEE Access

The scientist frequently collaborates with multiple co-authors, including Khair Al Shamaileh, Sidike Paheding, Nahian Siddique, Quamar Niyaz, and Colin Elkin.

Best Publications

  • Smart meters for power grid: Challenges, issues, advantages and status

    Soma Shekara Sreenadh Reddy Depuru;Lingfeng Wang;Vijay Devabhaktuni

  • Smart meters for power grid — Challenges, issues, advantages and status

    Soma Shekara Sreenadh Reddy Depuru;Lingfeng Wang;Vijay Devabhaktuni;Nikhil Gudi

  • Solar energy: Trends and enabling technologies

    Vijay Devabhaktuni;Mansoor Alam;Soma Shekara Sreenadh Reddy Depuru;Robert C. Green

  • Advanced microwave modeling framework exploiting automatic model generation, knowledge neural networks, and space mapping

    V.K. Devabhaktuni;B. Chattaraj;M.C.E. Yagoub;Qi-Jun Zhang

  • Cyber security threat analysis and modeling of an unmanned aerial vehicle system

    Ahmad Y. Javaid;Weiqing Sun;Vijay K. Devabhaktuni;Mansoor Alam

  • Electricity theft: Overview, issues, prevention and a smart meter based approach to control theft

    Soma Shekara Sreenadh Reddy Depuru;Lingfeng Wang;Vijay Devabhaktuni

  • Advances on localization techniques for wireless sensor networks

    Tashnim J.S. Chowdhury;Colin Elkin;Vijay Devabhaktuni;Danda B. Rawat

  • A demand side management based simulation platform incorporating heuristic optimization for management of household appliances

    Nikhil Gudi;Lingfeng Wang;Vijay Devabhaktuni

  • Support vector machine based data classification for detection of electricity theft

    Soma Shekara Sreenadh Reddy Depuru;Lingfeng Wang;Vijay Devabhaktuni

  • Neural Networks for Microwave Modeling: Model Development Issues and Nonlinear Modeling Techniques

    Vijaya Kumar Devabhaktuni;Mustapha C. E. Yagoub;Yonghua Fang;Jianjun Xu

  • Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning

    Ebrahim Babaeian;Sidike Paheding;Nahian Siddique;Vijay K. Devabhaktuni

  • A low-cost INS/GPS integration methodology based on random forest regression

    Srujana Adusumilli;Deepak Bhatt;Hong Wang;Prabir Bhattacharya

  • Neural Network Structures and Training Algorithms for RF and Microwave Applications

    Fang Wang;Vijaya K. Devabhaktuni;Changgeng Xi;Qi-Jun Zhang

  • A novel hybrid fusion algorithm to bridge the period of GPS outages using low-cost INS

    Deepak Bhatt;Priyanka Aggarwal;Vijay Devabhaktuni;Prabir Bhattacharya

  • High performance computing for detection of electricity theft

    Soma Shekara Sreenadh Reddy Depuru;Lingfeng Wang;Vijay Devabhaktuni;Robert C. Green

  • Fast, accurate, and fully automatic segmentation of the right ventricle in short-axis cardiac MRI

    Jordan Ringenberg;Makarand Deo;Vijay Devabhaktuni;Omer Berenfeld

  • Long-term frequency gradients during persistent atrial fibrillation in sheep are associated with stable sources in the left atrium

    David Filgueiras-Rama;Nicholas F. Price;Raphael P. Martins;Masatoshi Yamazaki

  • Demand response simulation implementing heuristic optimization for home energy management

    Nikhil Gudi;Lingfeng Wang;Vijay Devabhaktuni;Soma Shekara Sreenadh Reddy Depuru

  • A Near Real-Time Automatic Speaker Recognition Architecture for Voice-Based User Interface

    Parashar Dhakal;Praveen Damacharla;Ahmad Y. Javaid;Vijay Kumar Devabhaktuni

  • A conceptual design using harmonics to reduce pilfering of electricity

    Soma Shekara Sreenadh Reddy Depuru;Lingfeng Wang;Vijay Devabhaktuni

  • Measures and setbacks for controlling electricity theft

    Soma Shekara Sreenadh Reddy Depuru;Lingfeng Wang;Vijay Devabhaktuni;Nikhil Gudi

  • Adjustable Bandwidth Filter Design Based on Interdigital Capacitors

    Li Zhu;V. Devabhaktuni;Chunyan Wang;Ming Yu

  • Robust training of microwave neural models

    Vijay Kumar Devabhaktuni;Changgeng Xi;Fang Wang;Qi‐Jun Zhang

Frequent Co-Authors

Robert C. Green
Robert C. Green Brigham and Women's Hospital
Nihad Dib
Nihad Dib Jordan University of Science and Technology
M. Omair Ahmad
M. Omair Ahmad Concordia University
M. C. Deo
M. C. Deo Indian Institute of Technology Bombay
Borja Ibanez
Borja Ibanez Spanish National Centre for Cardiovascular Research
Danda B. Rawat
Danda B. Rawat Howard University
Abdel-Razik Sebak
Abdel-Razik Sebak Concordia University
Ming Yu
Ming Yu Chinese University of Hong Kong
Markus Tuller
Markus Tuller University of Arizona
Amin Abbosh
Amin Abbosh University of Queensland

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Related Online Degrees & Career Pathways

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Competency-based learning is also gaining momentum, as seen in the best competency-based colleges. These programs focus on mastering skills rather than time spent in class, ideal for students wanting to fast-track their qualifications by demonstrating expertise in key areas.

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