World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
52
Citations
13637
World Ranking
2485
National Ranking
957

Saibal Mukhopadhyay 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 Saibal Mukhopadhyay 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: 415 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Saibal Mukhopadhyay 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 Saibal Mukhopadhyay 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: 52 D-Index — 64th percentile

64% 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

  • 2018 - IEEE Fellow For contributions to energy-efficient and robust computing systems design

Overview

Saibal Mukhopadhyay is affiliated with the Georgia Institute of Technology in the United States. Their research spans multiple areas within engineering and computer science, with particular emphasis on electrical and electronic engineering and artificial intelligence.

The scientist's frequent publication venues include arXiv (Cornell University), IEEE Access, The Journal of the Acoustical Society of America, the 2022 International Joint Conference on Neural Networks (IJCNN), and Frontiers in Neuroscience.

They have contributed to various topics, among which are:

  • Advanced Memory and Neural Computing
  • Neural dynamics and brain function
  • Ferroelectric and Negative Capacitance Devices
  • Neural Networks and Reservoir Computing
  • Neural Networks and Applications
  • Advanced Neural Network Applications
  • CCD and CMOS Imaging Sensors

Mukhopadhyay's main fields of study include:

  • Engineering
  • Computer Science

Their subfields of study further specify focus areas:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience
  • Signal Processing

Some of the recent papers authored under their name are:

  • "Architecture, Chip, and Package Codesign Flow for Interposer-Based 2.5-D Chiplet Integration Enabling Heterogeneous IP Reuse," 2020, IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • "Roadmap for unconventional computing with nanotechnology," 2024, Nano Futures
  • "Task-Driven RGB-Lidar Fusion for Object Tracking in Resource-Efficient Autonomous System," 2021, IEEE Transactions on Intelligent Vehicles
  • "A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection," 2021, arXiv (Cornell University)
  • "CASCADE ADVERSARIAL MACHINE LEARNING REGULARIZED WITH A UNIFIED EMBEDDING," 2024, TIB Data Manager

Frequent co-authors who have collaborated extensively with Mukhopadhyay include:

  • Biswadeep Chakraborty
  • Priyabrata Saha
  • Daehyun Kim
  • Beomseok Kang
  • Justin Romberg

In recognition of their work, Mukhopadhyay was named an IEEE Fellow in 2018 for contributions to energy-efficient and robust computing systems design.

Best Publications

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

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

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

    S. Mukhopadhyay;H. Mahmoodi;K. Roy

  • A circuit-compatible model of ballistic carbon nanotube field-effect transistors

    A. Raychowdhury;S. Mukhopadhyay;K. Roy

  • Process variation in embedded memories : Failure analysis and variation aware architecture

    Amit Agarwal;Bipul C. Paul;Saibal Mukhopadhyay;Kaushik Roy

  • Gate leakage reduction for scaled devices using transistor stacking

    S. Mukhopadhyay;C. Neau;R.T. Cakici;A. Agarwal

  • Leakage Power Analysis and Reduction for Nanoscale Circuits

    Amit Agarwal;Saibal Mukhopadhyay;Arijit Raychowdhury;Kaushik Roy

  • Estimation of delay variations due to random-dopant fluctuations in nanoscale CMOS circuits

    H. Mahmoodi;S. Mukhopadhyay;K. Roy

  • Statistical design and optimization of SRAM cell for yield enhancement

    S. Mukhopadhyay;H. Mahmoodi;K. Roy

  • Low-power scan design using first-level supply gating

    S. Bhunia;H. Mahmoodi;D. Ghosh;S. Mukhopadhyay

  • Accurate estimation of total leakage current in scaled CMOS logic circuits based on compact current modeling

    Saibal Mukhopadhyay;Arijit Raychowdhury;Kaushik Roy

  • Modeling and estimation of total leakage current in nano-scaled-CMOS devices considering the effect of parameter variation

    Saibal Mukhopadhyay;Kaushik Roy

  • A forward body-biased low-leakage SRAM cache: device, circuit and architecture considerations

    C.H. Kim;Jae-Joon Kim;S. Mukhopadhyay;K. Roy

  • Accurate estimation of total leakage in nanometer-scale bulk CMOS circuits based on device geometry and doping profile

    S. Mukhopadhyay;A. Raychowdhury;K. Roy

  • An energy efficient cache design using spin torque transfer (STT) RAM

    Mitchelle Rasquinha;Dhruv Choudhary;Subho Chatterjee;Saibal Mukhopadhyay

  • Design of Reliable DNN Accelerator with Un-reliable ReRAM

    Yun Long;Xueyuan She;Saibal Mukhopadhyay

  • Device-Optimization Technique for Robust and Low-Power FinFET SRAM Design in NanoScale Era

    A. Bansal;S. Mukhopadhyay;K. Roy

  • Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms

    Jong Hwan Ko;Taesik Na;Mohammad Faisal Amir;Saibal Mukhopadhyay

  • Modeling and estimation of failure probability due to parameter variations in nano-scale SRAMs for yield enhancement

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

  • Process Variations and Process-Tolerant Design

    S. Bhunia;S. Mukhopadhyay;K. Roy

  • Fast and Accurate Analytical Modeling of Through-Silicon-Via Capacitive Coupling

    Dae Hyun Kim;S Mukhopadhyay;Sung Kyu Lim

  • Exploring tunnel-FET for ultra low power analog applications: a case study on operational transconductance amplifier

    Amit Ranjan Trivedi;Sergio Carlo;Saibal Mukhopadhyay

  • ReRAM-Based Processing-in-Memory Architecture for Recurrent Neural Network Acceleration

    Yun Long;Taesik Na;Saibal Mukhopadhyay

Frequent Co-Authors

Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Sudhakar Yalamanchili
Sudhakar Yalamanchili Georgia Institute of Technology
Swarup Bhunia
Swarup Bhunia University of Florida
Sung Kyu Lim
Sung Kyu Lim Georgia Institute of Technology
Hamid Mahmoodi
Hamid Mahmoodi San Francisco State University
Sanjay Tyagi
Sanjay Tyagi Rutgers, The State University of New Jersey
Vivek De
Vivek De Intel (United States)
Arijit Raychowdhury
Arijit Raychowdhury Georgia Institute of Technology
Sanu Mathew
Sanu Mathew Intel (United States)
Madhavan Swaminathan
Madhavan Swaminathan Pennsylvania State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in Electronics and Electrical Engineering, exploring related online degrees can open up diverse career opportunities. Many students prefer flexible options like online colleges that start soon, allowing them to begin their studies without long wait times. This is especially beneficial for working professionals or those seeking quick entry into the field.

Complementing a degree with short, specialized training can boost employability. Programs like short certificate programs that pay well online offer targeted skills in a condensed timeframe, helping graduates stand out in competitive job markets.

For those who prefer quieter, focused work environments, many roles in Electronics and Electrical Engineering suit introverts well. In fact, some of the best jobs for introverts involve critical thinking and problem-solving behind the scenes, such as design and systems analysis.

Additionally, acquiring management skills can enhance career growth. Pursuing an online project management degree accelerated program can prepare engineers for leadership roles, enabling them to oversee complex projects and teams effectively.

Best Scientists Citing Saibal Mukhopadhyay

Trending Scientists

Recently Published Articles