World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 55 2197 2109 857 803 239 10966

Sarma Vrudhula publications per year

The chart shows the history of publications by Sarma Vrudhula between 1993 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Sarma Vrudhula published across 33 years, from 1993 to 2025, averaging 7.8 papers a year. Output peaked at 17 publications in 2006. 15 of the 256 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1993 to 2025. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2006. 1993: 5 publications 1994: 3 publications 1995: 2 publications 1996: 4 publications 1997: 5 publications 1998: 4 publications 1999: 3 publications 2000: 1 publication 2001: 3 publications 2002: 12 publications 2003: 11 publications 2004: 12 publications 2005: 10 publications 2006: 17 publications 2007: 12 publications 2008: 15 publications 2009: 12 publications 2010: 5 publications 2011: 7 publications 2012: 4 publications 2013: 5 publications 2014: 16 publications 2015: 15 publications 2016: 12 publications 2017: 7 publications 2018: 6 publications 2019: 5 publications 2020: 8 publications 2021: 4 publications 2022: 7 publications 2023: 9 publications 2024: 11 publications 2025: 4 publications
1993 2025

256 publications in total across all disciplines

View publications per year as a table
Sarma Vrudhula: publications per year, 1993 to 2025
Year Publications
1993 5
1994 3
1995 2
1996 4
1997 5
1998 4
1999 3
2000 1
2001 3
2002 12
2003 11
2004 12
2005 10
2006 17
2007 12
2008 15
2009 12
2010 5
2011 7
2012 4
2013 5
2014 16
2015 15
2016 12
2017 7
2018 6
2019 5
2020 8
2021 4
2022 7
2023 9
2024 11
2025 4
Total 256
Download as CSV

Sarma Vrudhula 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 Sarma Vrudhula 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, 234–253 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: 239 publications — 41st percentile

41% 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
234–253 399 239
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
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

Sarma Vrudhula 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 Sarma Vrudhula 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, 55 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: 55 D-Index — 69th percentile

69% 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
53 130
54 112
55 97 55
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

  • 2016 - IEEE Fellow For contributions to low-power and energy-efficient design of digital circuits and systems

Overview

Sarma Vrudhula is affiliated with Arizona State University in the United States and has contributed extensively to the fields of engineering and computer science. Their research focuses on multiple subfields, including electrical and electronic engineering, computer vision and pattern recognition, artificial intelligence, hardware and architecture, and biomedical engineering.

The scientist's work covers a broad range of topics, notably advanced memory and neural computing, advanced neural network applications, ferroelectric and negative capacitance devices, advancements in semiconductor devices and circuit design, CCD and CMOS imaging sensors, semiconductor materials and devices, and parallel computing and optimization techniques.

Some of the recent papers by Sarma Vrudhula include the following:

  • ELSA, 2020, ACM Transactions on Embedded Computing Systems
  • A Novel ASIC Design Flow Using Weight-Tunable Binary Neurons as Standard Cells, 2022, IEEE Transactions on Circuits and Systems I Regular Papers
  • Heterogeneous FPGA Architecture Using Threshold Logic Gates for Improved Area, Power, and Performance, 2021, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • A Flash-based Current-mode IC to Realize Quantized Neural Networks, 2022, 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
  • EdgeWise: Energy-efficient CNN Computation on Edge Devices under Stochastic Communication Delays, 2022, ACM Transactions on Embedded Computing Systems

Frequent co-authors collaborating with Sarma Vrudhula include:

  • Ankit Wagle
  • Gian Singh
  • Sunil P. Khatri
  • Mehdi Ghasemi
  • Carole-Jean Wu

Publishing venues often chosen by Sarma Vrudhula for disseminating research comprise:

  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • ACM Transactions on Embedded Computing Systems
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Transactions on Computers

In recognition of contributions to the field, Sarma Vrudhula was honored as an IEEE Fellow in 2016 for work related to low-power and energy-efficient design of digital circuits and systems.

Best Publications

  • Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks

    Naveen Suda;Vikas Chandra;Ganesh Dasika;Abinash Mohanty

  • Battery modeling for energy aware system design

    R. Rao;S. Vrudhula;D.N. Rakhmatov

  • Predictive Modeling of the NBTI Effect for Reliable Design

    S. Bhardwaj;Wenping Wang;R. Vattikonda;Y. Cao

  • Optimizing Loop Operation and Dataflow in FPGA Acceleration of Deep Convolutional Neural Networks

    Yufei Ma;Yu Cao;Sarma Vrudhula;Jae-sun Seo

  • An analytical high-level battery model for use in energy management of portable electronic systems

    Daler N. Rakhmatov;Sarma B. K. Vrudhula

  • The Impact of NBTI Effect on Combinational Circuit: Modeling, Simulation, and Analysis

    Wenping Wang;Shengqi Yang;S. Bhardwaj;S. Vrudhula

  • Energy management for battery-powered embedded systems

    Daler Rakhmatov;Sarma Vrudhula

  • Optimizing the Convolution Operation to Accelerate Deep Neural Networks on FPGA

    Yufei Ma;Yu Cao;Sarma Vrudhula;Jae-sun Seo

  • A model for battery lifetime analysis for organizing applications on a pocket computer

    D. Rakhmatov;S. Vrudhula;D.A. Wallach

  • The impact of NBTI on the performance of combinational and sequential circuits

    Wenping Wang;Shengqi Yang;Sarvesh Bhardwaj;Rakesh Vattikonda

  • BDD Based Decomposition of Logic Functions with Application to FPGA Synthesis

    Yung-Te Lai;Massoud Pedram;Sarma B. K. Vrudhula

  • Scalable and modularized RTL compilation of Convolutional Neural Networks onto FPGA

    Yufei Ma;Naveen Suda;Yu Cao;Jae-sun Seo

  • EVBDD-based algorithms for integer linear programming, spectral transformation, and function decomposition

    Y.-T. Lai;M. Pedram;S.B.K. Vrudhula

  • EPIMap: using epimorphism to map applications on CGRAs

    Mahdi Hamzeh;Aviral Shrivastava;Sarma Vrudhula

  • Fully parallel write/read in resistive synaptic array for accelerating on-chip learning.

    Ligang Gao;I-Ting Wang;Pai-Yu Chen;Sarma Vrudhula

  • Energy-Efficient Operation of Multicore Processors by DVFS, Task Migration, and Active Cooling

    Vinay Hanumaiah;Sarma Vrudhula

  • Power balanced coverage-time optimization for clustered wireless sensor networks

    Tao Shu;Marwan Krunz;Sarma Vrudhula

  • Mitigating Effects of Non-ideal Synaptic Device Characteristics for On-chip Learning

    Pai-Yu Chen;Binbin Lin;I-Ting Wang;Tuo-Hung Hou

  • An automatic RTL compiler for high-throughput FPGA implementation of diverse deep convolutional neural networks

    Yufei Ma;Yu Cao;Sarma Vrudhula;Jae-sun Seo

  • Static power optimization of deep submicron CMOS circuits for dual V/sub T/ technology

    Qi Wang;Sarma B. K. Vrudhula

Frequent Co-Authors

Yu Cao
Yu Cao University of Minnesota
Jae-sun Seo
Jae-sun Seo Cornell University
David Blaauw
David Blaauw University of Michigan–Ann Arbor
Shimeng Yu
Shimeng Yu Georgia Institute of Technology
Chaitali Chakrabarti
Chaitali Chakrabarti Arizona State University
Pai-Yu Chen
Pai-Yu Chen Arizona State University
Jieping Ye
Jieping Ye Alibaba Group (China)
Naehyuck Chang
Naehyuck Chang Korea Advanced Institute of Science and Technology
Vladimir Zolotov
Vladimir Zolotov IBM (United States)
Michael N. Kozicki
Michael N. Kozicki Arizona 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 students pursuing Electronics and Electrical Engineering, expanding skills into complementary fields can open new career opportunities. Project management is a valuable area, especially for engineers aiming to lead technical teams or manage complex projects. Exploring the best accelerated project management degree programs online offers a fast-tracked path to gain these essential leadership abilities.

Similarly, a bachelor project management degree can provide foundational knowledge for coordinating engineering tasks and meeting project deadlines efficiently. These programs often emphasize critical thinking, resource management, and communication skills that complement technical expertise.

Many working professionals balancing jobs and education benefit from accelerated degree programs for working adults. These flexible options facilitate quicker completion of degrees while accommodating busy schedules, making it easier for engineers to enhance their qualifications without interrupting their careers.

Additionally, those interested in education and training within technical fields might consider an online masters in instructional design. This degree prepares graduates to develop effective learning materials and training programs, which is crucial for advancing workforce skills and supporting ongoing professional development.

Best Scientists Citing Sarma Vrudhula

Trending Scientists

Recently Published Articles