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 52 2543 2439 970 908 337 9665
Computer Science 52 5128 4988 2362 2282 342 9809

Chaitali Chakrabarti publications per year

The chart shows the history of publications by Chaitali Chakrabarti between 1988 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Chaitali Chakrabarti published across 39 years, from 1988 to 2026, averaging 9.7 papers a year. Output peaked at 20 publications in 2010. 18 of the 377 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1988 to 2026. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2010. 1988: 1 publication 1989: 1 publication 1990: 3 publications 1991: 1 publication 1992: 3 publications 1993: 6 publications 1994: 7 publications 1995: 8 publications 1996: 6 publications 1997: 1 publication 1998: 3 publications 1999: 7 publications 2000: 13 publications 2001: 7 publications 2002: 10 publications 2003: 4 publications 2004: 13 publications 2005: 11 publications 2006: 15 publications 2007: 15 publications 2008: 8 publications 2009: 14 publications 2010: 20 publications 2011: 18 publications 2012: 19 publications 2013: 16 publications 2014: 11 publications 2015: 12 publications 2016: 11 publications 2017: 9 publications 2018: 9 publications 2019: 14 publications 2020: 14 publications 2021: 19 publications 2022: 16 publications 2023: 10 publications 2024: 4 publications 2025: 17 publications 2026: 1 publication
1988 2026

377 publications in total across all disciplines

View publications per year as a table
Chaitali Chakrabarti: publications per year, 1988 to 2026
Year Publications
1988 1
1989 1
1990 3
1991 1
1992 3
1993 6
1994 7
1995 8
1996 6
1997 1
1998 3
1999 7
2000 13
2001 7
2002 10
2003 4
2004 13
2005 11
2006 15
2007 15
2008 8
2009 14
2010 20
2011 18
2012 19
2013 16
2014 11
2015 12
2016 11
2017 9
2018 9
2019 14
2020 14
2021 19
2022 16
2023 10
2024 4
2025 17
2026 1
Total 377
Download as CSV

Chaitali Chakrabarti 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 Chaitali Chakrabarti 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, 334–353 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: 337 publications — 65th percentile

65% 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
334–353 250 337
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

Chaitali Chakrabarti 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 Chaitali Chakrabarti 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

  • 2012 - IEEE Fellow For contributions to low power embedded system design and to very large scale integration architectures for signal processing

Overview

Chaitali Chakrabarti is affiliated with Arizona State University in the United States. Their research spans across computer science and engineering, with a particular focus on electrical and electronic engineering, hardware and architecture, and artificial intelligence.

The scientist's work covers multiple fields and subfields including:

  • Computer Science
  • Engineering
  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

The main topics of Chakrabarti's research involve:

  • Parallel Computing and Optimization Techniques
  • Advanced Memory and Neural Computing
  • Millimeter-Wave Propagation and Modeling
  • Embedded Systems Design Techniques
  • Ferroelectric and Negative Capacitance Devices
  • Adversarial Robustness in Machine Learning
  • Privacy-Preserving Technologies in Data

Chakrabarti has published extensively in notable venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Journal of Solid-State Circuits
  • IEEE Design and Test
  • ACM Transactions on Embedded Computing Systems
  • IEEE Open Journal of the Communications Society

Some recent papers authored by or involving Chakrabarti include:

  • ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • An 8.93 TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity for On-Device Speech Recognition, 2020, IEEE Journal of Solid-State Circuits
  • Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration, 2022, IEEE Open Journal of the Communications Society
  • T-BFA: Targeted Bit-Flip Adversarial Weight Attack, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems, 2022, 2022 IEEE Wireless Communications and Networking Conference (WCNC)

Chakrabarti collaborates regularly with several frequent coauthors, including:

  • Ümit Y. Ogras
  • Jingtao Li
  • Jae-sun Seo
  • Sumit K. Mandal
  • Shunyao Wu

In 2012, Chakrabarti was named an IEEE Fellow for contributions to low power embedded system design and to very large scale integration architectures for signal processing.

Best Publications

  • A VLSI architecture for lifting-based forward and inverse wavelet transform

    K. Andra;C. Chakrabarti;T. Acharya

  • SODA: A Low-power Architecture For Software Radio

    Yuan Lin;Hyunseok Lee;Mark Woh;Yoav Harel

  • Efficient realizations of the discrete and continuous wavelet transforms: from single chip implementations to mappings on SIMD array computers

    C. Chakrabarti;M. Vishwanath

  • OuterSPACE: An Outer Product Based Sparse Matrix Multiplication Accelerator

    Subhankar Pal;Jonathan Beaumont;Dong-Hyeon Park;Aporva Amarnath

  • Memory exploration for low power, embedded systems

    Wen-Tsong Shiue;Chaitali Chakrabarti

  • Architectures for wavelet transforms: A survey

    Chaitali Chakrabarti;Mohan Vishwanath;Robert M. Owens

  • A Distributed Canny Edge Detector: Algorithm and FPGA Implementation

    Qian Xu;Srenivas Varadarajan;Chaitali Chakrabarti;Lina J. Karam

  • A System Level Energy Model and Energy-Quality Evaluation for Integrated Transceiver Front-Ends

    Ye Li;B. Bakkaloglu;C. Chakrabarti

  • A high-performance JPEG2000 architecture

    K. Andra;C. Chakrabarti;T. Acharya

  • A Survey on Lifting-based Discrete Wavelet Transform Architectures

    Tinku Acharya;Chaitali Chakrabarti

  • Energy-efficient dynamic task scheduling algorithms for DVS systems

    Jianli Zhuo;Chaitali Chakrabarti

  • SODA: A High-Performance DSP Architecture for Software-Defined Radio

    Y. Lin;H. Lee;M. Woh;Y. Harel

  • From SODA to scotch: The evolution of a wireless baseband processor

    Mark Woh;Yuan Lin;Sangwon Seo;Scott Mahlke

  • AnySP: anytime anywhere anyway signal processing

    Mark Woh;Sangwon Seo;Scott Mahlke;Trevor Mudge

  • A low power scheduling scheme with resources operating at multiple voltages

    A. Manzak;C. Chakrabarti

  • Product Code Schemes for Error Correction in MLC NAND Flash Memories

    Chengen Yang;Y. Emre;C. Chakrabarti

  • Static task-scheduling algorithms for battery-powered DVS systems

    P. Chowdhury;C. Chakrabarti

  • Low-power scheduling with resources operating at multiple voltages

    Wen-Tsong Shine;C. Chakrabarti

  • A Super-Pipelined Energy Efficient Subthreshold 240 MS/s FFT Core in 65 nm CMOS

    Dongsuk Jeon;Mingoo Seok;C. Chakrabarti;D. Blaauw

  • Systolic architectures for the computation of the discrete Hartley and the discrete cosine transforms based on prime factor decomposition

    C. Chakrabarti;J. Jaja

  • Variable voltage task scheduling algorithms for minimizing energy

    Ali Manzak;Chaitali Chakrabarti

  • AnySP: Anytime Anywhere Anyway Signal Processing

    M. Woh;Sangwon Seo;S. Mahlke;T. Mudge

Frequent Co-Authors

Trevor Mudge
Trevor Mudge University of Michigan–Ann Arbor
Yu Cao
Yu Cao University of Minnesota
Thomas F. Wenisch
Thomas F. Wenisch University of Michigan–Ann Arbor
Scott Mahlke
Scott Mahlke University of Michigan–Ann Arbor
David Blaauw
David Blaauw University of Michigan–Ann Arbor
Jae-sun Seo
Jae-sun Seo Cornell University
Ronald G. Dreslinski
Ronald G. Dreslinski University of Michigan–Ann Arbor
Naehyuck Chang
Naehyuck Chang Korea Advanced Institute of Science and Technology
Shimeng Yu
Shimeng Yu Georgia Institute of Technology
J. Brian Fowlkes
J. Brian Fowlkes University of Michigan–Ann Arbor

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 pursuing Electronics and Electrical Engineering, exploring related online degrees can open doors to diverse career opportunities. Many students benefit from accelerated online bachelor degree programs accredited, designed specifically for working adults seeking to advance their education efficiently without compromising work commitments.

In addition, careers in education or training can be enhanced through programs like the best online teaching master's programs, which provide essential skills for instructional design and curriculum development in STEM fields.

Competency-based education also plays a crucial role, allowing students and professionals to leverage prior knowledge and fast-track their learning. Exploring competency based masters enables personalized pacing and targeted skill validation, aligning well with the technical demands of engineering careers.

For military spouses or dependents, finding flexible educational options is key. Many military spouse friendly online colleges provide specialized support and adaptable scheduling, helping to overcome frequent relocations and ensuring consistent progress toward a degree.

Best Scientists Citing Chaitali Chakrabarti

Trending Scientists

Recently Published Articles