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Saibal Mukhopadhyay

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 52 2485 2381 957 895 415 13637

Saibal Mukhopadhyay publications per year

The chart shows the history of publications by Saibal Mukhopadhyay between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Saibal Mukhopadhyay published across 24 years, from 2002 to 2025, averaging 25 papers a year. Output peaked at 51 publications in 2021. 62 of the 599 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 51. Peak 51 publications in 2021. 2002: 5 publications 2003: 22 publications 2004: 21 publications 2005: 26 publications 2006: 20 publications 2007: 10 publications 2008: 18 publications 2009: 18 publications 2010: 16 publications 2011: 23 publications 2012: 20 publications 2013: 20 publications 2014: 38 publications 2015: 22 publications 2016: 30 publications 2017: 23 publications 2018: 29 publications 2019: 30 publications 2020: 48 publications 2021: 51 publications 2022: 27 publications 2023: 20 publications 2024: 42 publications 2025: 20 publications
2002 2025

599 publications in total across all disciplines

View publications per year as a table
Saibal Mukhopadhyay: publications per year, 2002 to 2025
Year Publications
2002 5
2003 22
2004 21
2005 26
2006 20
2007 10
2008 18
2009 18
2010 16
2011 23
2012 20
2013 20
2014 38
2015 22
2016 30
2017 23
2018 29
2019 30
2020 48
2021 51
2022 27
2023 20
2024 42
2025 20
Total 599
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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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 414–433 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169 415
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 52 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108 52
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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

External Links

Personal website of Saibal Mukhopadhyay Google Scholar page

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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

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Publications: 179

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Publications: 58

Yuan Xie

Yuan Xie

Hong Kong University of Science and Technology

Publications: 43

Fadi J. Kurdahi

Fadi J. Kurdahi

University of California, Irvine

Publications: 38

Hamid Mahmoodi

Hamid Mahmoodi

San Francisco State University

Publications: 38

Saraju P. Mohanty

Saraju P. Mohanty

University of North Texas

Publications: 37

Ahmed M. Eltawil

Ahmed M. Eltawil

King Abdullah University of Science and Technology

Publications: 34

Luca Benini

Luca Benini

ETH Zurich

Publications: 32

Ali Afzali-Kusha

Ali Afzali-Kusha

University of Tehran

Publications: 31

Anand Raghunathan

Anand Raghunathan

Purdue University West Lafayette

Publications: 30

Dennis Sylvester

Dennis Sylvester

University of Michigan–Ann Arbor

Publications: 27

Onur Mutlu

Onur Mutlu

ETH Zurich

Publications: 27

Yehea Ismail

Yehea Ismail

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Publications: 26

Bashir M. Al-Hashimi

Bashir M. Al-Hashimi

King's College London

Publications: 25

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Publications: 25

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