World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
124
Citations
63612
World Ranking
52
National Ranking
29

Kaushik Roy 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 Kaushik Roy 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: 1,303 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Kaushik Roy 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 Kaushik Roy 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: 124 D-Index — 99th percentile

99% 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 United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2002 - IEEE Fellow For contributions to the power-aware design of digital circuits.

Overview

Kaushik Roy is affiliated with Purdue University West Lafayette in the United States. Their research spans primarily the field of Computer Science, with a substantial focus across several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology, and Information Systems.

Their work covers various main topics, including Handwritten Text Recognition Techniques, Vehicle License Plate Recognition, Music and Audio Processing, Advanced Malware Detection Techniques, Biometric Identification and Security, Face Recognition and Analysis, and Network Security and Intrusion Detection.

Among recent published papers are:

  • Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays, 2020, Applied Intelligence
  • Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks, 2020, Information
  • Shallow Convolutional Neural Network for COVID-19 Outbreak Screening Using Chest X-rays, 2021, Cognitive Computation
  • Text categorization: past and present, 2020, Artificial Intelligence Review
  • An Investigation of Biometric Authentication in the Healthcare Environment, 2020, Array

Frequent co-authors include Sk Md Obaidullah, Himadri Mukherjee, Ankita Dhar, KC Santosh, and Mridul Ghosh. These collaborations reflect a productive network within their research community.

Kaushik Roy has published extensively in various venues. The most frequent publication venues are:

  • arXiv (Cornell University) with 25 publications
  • Multimedia Tools and Applications with 12 publications
  • Journal of Marine Medical Society with 7 publications
  • Future Internet with 5 publications
  • 2021 IEEE Symposium Series on Computational Intelligence (SSCI) with 3 publications

Their contributions to the power-aware design of digital circuits were recognized with the IEEE Fellow award in 2002.

Best Publications

  • Leakage current mechanisms and leakage reduction techniques in deep-submicrometer CMOS circuits

    K. Roy;S. Mukhopadhyay;H. Mahmoodi-Meimand

  • Gated-V/sub dd/: a circuit technique to reduce leakage in deep-submicron cache memories

    Michael Powell;Se-Hyun Yang;Babak Falsafi;Kaushik Roy

  • Low-Power Digital Signal Processing Using Approximate Adders

    V. Gupta;D. Mohapatra;A. Raghunathan;K. Roy

  • Low power CMOS VLSI circuit design

    Kaushik Roy;Sharat Prasad

  • Going Deeper in Spiking Neural Networks: VGG and Residual Architectures.

    Abhronil Sengupta;Yuting Ye;Robert Wang;Chiao Liu

  • A 32 kb 10T Sub-Threshold SRAM Array With Bit-Interleaving and Differential Read Scheme in 90 nm CMOS

    Ik Joon Chang;Jae-Joon Kim;S.P. Park;K. Roy

  • Analysis and characterization of inherent application resilience for approximate computing

    Vinay K. Chippa;Srimat T. Chakradhar;Kaushik Roy;Anand Raghunathan

  • A 160 mV Robust Schmitt Trigger Based Subthreshold SRAM

    J.P. Kulkarni;K. Kim;K. Roy

  • Modeling of failure probability and statistical design of SRAM array for yield enhancement in nanoscaled CMOS

    S. Mukhopadhyay;H. Mahmoodi;K. Roy

  • A 32kb 10T Subthreshold SRAM Array with Bit-Interleaving and Differential Read Scheme in 90nm CMOS

    Ik Joon Chang;Jae-Joon Kim;S.P. Park;K. Roy

  • IMPACT: imprecise adders for low-power approximate computing

    Vaibhav Gupta;Debabrata Mohapatra;Sang Phill Park;Anand Raghunathan

  • Estimation of standby leakage power in CMOS circuits considering accurate modeling of transistor stacks

    Zhanping Chen;Mark Johnson;Liqiong Wei;Kaushik Roy

  • Medium-scale carbon nanotube thin-film integrated circuits on flexible plastic substrates

    Qing Cao;Hoon-sik Kim;Ninad Pimparkar;Jaydeep P. Kulkarni

  • Design and optimization of dual-threshold circuits for low-voltage low-power applications

    L. Wei;Z. Chen;K. Roy;M.C. Johnson

  • SALSA: systematic logic synthesis of approximate circuits

    Swagath Venkataramani;Amit Sabne;Vivek Kozhikkottu;Kaushik Roy

  • Leakage control with efficient use of transistor stacks in single threshold CMOS

    M.C. Johnson;D. Somasekhar;Lih-Yih Chiou;K. Roy

  • Robust subthreshold logic for ultra-low power operation

    Hendrawan Soeleman;Kaushik Roy;Bipul C. Paul

  • Impact of NBTI on the temporal performance degradation of digital circuits

    B.C. Paul;Kunhyuk Kang;H. Kufluoglu;M.A. Alam

  • Carbon-nanotube-based voltage-mode multiple-valued logic design

    A. Raychowdhury;K. Roy

  • Reducing set-associative cache energy via way-prediction and selective direct-mapping

    Michael D. Powell;Amit Agarwal;T. N. Vijaykumar;Babak Falsafi

  • An integrated circuit/architecture approach to reducing leakage in deep-submicron high-performance I-caches

    S. Yang;M.D. Powell;B. Falsafi;K. Roy

Frequent Co-Authors

Anand Raghunathan
Anand Raghunathan Purdue University West Lafayette
Saibal Mukhopadhyay
Saibal Mukhopadhyay Georgia Institute of Technology
Arijit Raychowdhury
Arijit Raychowdhury Georgia Institute of Technology
Swarup Bhunia
Swarup Bhunia University of Florida
Hamid Mahmoodi
Hamid Mahmoodi San Francisco State University
Bipul C. Paul
Bipul C. Paul GlobalFoundries (United States)
Sumeet Kumar Gupta
Sumeet Kumar Gupta Purdue University West Lafayette
Cheng-Kok Koh
Cheng-Kok Koh Purdue University West Lafayette
Indranil Chakraborty
Indranil Chakraborty Purdue University West Lafayette
Swagath Venkataramani
Swagath Venkataramani IBM (United States)

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Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering in the USA, exploring complementary online degrees can open diverse career opportunities. Many learners enhance their technical expertise by earning a bachelor of project management, which equips them with essential skills in overseeing engineering projects efficiently.

Working adults aiming to fast-track their education may consider accelerated bachelors degree programs for adults. These programs offer flexibility and a faster path to graduation, accommodating busy schedules without compromising learning quality.

Additionally, specialized master's degrees such as those in instructional design can benefit engineering professionals interested in training and educational roles. The best online instructional design master's programs provide strategies for creating effective learning experiences, an asset in technical education environments.

Many graduate programs now embrace competency based masters degrees, allowing students to progress based on skill mastery rather than time spent in class. This model is particularly advantageous for engineers seeking advanced credentials while balancing professional responsibilities.

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