World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
52
Citations
9665
World Ranking
2543
National Ranking
970

Computer Science

D-Index
52
Citations
9809
World Ranking
5128
National Ranking
2362

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.

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: 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.

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.

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

  • 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

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