World's Best Scientists 2026 revealed!
Srimat T. Chakradhar

Srimat T. Chakradhar

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
44
Citations
8791
World Ranking
3701
National Ranking
1343

Computer Science

D-Index
53
Citations
10806
World Ranking
4841
National Ranking
2256

Srimat T. Chakradhar 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 Srimat T. Chakradhar 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: 229 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Srimat T. Chakradhar 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 Srimat T. Chakradhar 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: 44 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Srimat T. Chakradhar is affiliated with NEC in the United States and conducts research primarily in the field of Computer Science. Their work spans several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, and Signal Processing.

Their research topics cover diverse areas, such as IoT and Edge/Fog Computing, Image and Video Quality Assessment, Software System Performance and Reliability, Video Surveillance and Tracking Methods, Cloud Computing and Resource Management, Advanced Image Processing Techniques, and Anomaly Detection Techniques and Applications.

Srimat T. Chakradhar has authored multiple papers, with recent publications including:

  • LeanContext: Cost-efficient domain-specific question answering using LLMs (2024), published in Natural Language Processing Journal
  • StreetAware: A High-Resolution Synchronized Multimodal Urban Scene Dataset (2023), published in Sensors
  • ROMA: Resource Orchestration for Microservices-based 5G Applications (2022), presented at NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium
  • DataXe: A System for Application Self-optimization in Serverless Edge Computing Environments (2022), presented at 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
  • Efficient Compression Method for Roadside LiDAR Data (2022), published in Proceedings of the 31st ACM International Conference on Information & Knowledge Management

The most frequent co-authors with whom Srimat T. Chakradhar has collaborated include Murugan Sankaradas, Kunal Rao, Giuseppe Coviello, Biplob Debnath, and Oliver Po.

The venues where the scientist has frequently published are:

  • arXiv (Cornell University) with 22 publications
  • ACM Transactions on Embedded Computing Systems with 2 publications
  • SSRN Electronic Journal with 2 publications
  • Natural Language Processing Journal with 1 publication
  • Sensors with 1 publication

Best Publications

  • Analysis and characterization of inherent application resilience for approximate computing

    Vinay K. Chippa;Srimat T. Chakradhar;Kaushik Roy;Anand Raghunathan

  • Massively parallel processing core with plural chains of processing elements and respective smart memory storing select data received from each chain

    Srihari Cadambi;Abhinandan Majumdar;Michela Becchi;Srimat Chakradhar

  • A dynamically configurable coprocessor for convolutional neural networks

    Srimat Chakradhar;Murugan Sankaradas;Venkata Jakkula;Srihari Cadambi

  • An exact algorithm for selecting partial scan flip-flops

    Srimat T. Chakradhar;Arun Balakrishnan;Vishwani D. Agrawal

  • Tarazu: optimizing MapReduce on heterogeneous clusters

    Faraz Ahmad;Srimat T. Chakradhar;Anand Raghunathan;T. N. Vijaykumar

  • Quality programmable vector processors for approximate computing

    Swagath Venkataramani;Vinay K. Chippa;Srimat T. Chakradhar;Kaushik Roy

  • Tamper resistance mechanisms for secure embedded systems

    S. Ravi;A. Raghunathan;S. Chakradhar

  • Approximate computing and the quest for computing efficiency

    Swagath Venkataramani;Srimat T. Chakradhar;Kaushik Roy;Anand Raghunathan

  • A Massively Parallel Coprocessor for Convolutional Neural Networks

    Murugan Sankaradas;Venkata Jakkula;Srihari Cadambi;Srimat Chakradhar

  • On-chip networks: a scalable, communication-centric embedded system design paradigm

    J. Henkel;W. Wolf;S. Chakradhar

  • Scalable effort hardware design: exploiting algorithmic resilience for energy efficiency

    Vinay K. Chippa;Debabrata Mohapatra;Anand Raghunathan;Kaushik Roy

  • A transitive closure algorithm for test generation

    S.T. Chakradhar;V.D. Agrawal;S.G. Rothweiler

  • Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework

    Vignesh T. Ravi;Michela Becchi;Gagan Agrawal;Srimat Chakradhar

  • ShuffleWatcher: Shuffle-aware scheduling in multi-tenant MapReduce clusters

    Faraz Ahmad;Srimat T. Chakradhar;Anand Raghunathan;T. N. Vijaykumar

  • Best-effort computing: re-thinking parallel software and hardware

    Srimat T. Chakradhar;Anand Raghunathan

  • A design methodology for application-specific networks-on-chip

    Jiang Xu;Wayne Wolf;Joerg Henkel;Srimat Chakradhar

  • Combinational ATPG theorems for identifying untestable faults in sequential circuits

    V.D. Agrawal;S.T. Chakradhar

  • A programmable parallel accelerator for learning and classification

    Srihari Cadambi;Abhinandan Majumdar;Michela Becchi;Srimat Chakradhar

  • Best-effort parallel execution framework for Recognition and mining applications

    Jiayuan Meng;Srimat Chakradhar;Anand Raghunathan

  • Hybrid delay scan: a low hardware overhead scan-based delay test technique for high fault coverage and compact test sets

    Seongmoon Wang;Xiao Liu;Srimat T. Chakradhar

  • A Massively Parallel FPGA-Based Coprocessor for Support Vector Machines

    Srihari Cadambi;Igor Durdanovic;Venkata Jakkula;Murugan Sankaradass

Frequent Co-Authors

Anand Raghunathan
Anand Raghunathan Purdue University West Lafayette
Vishwani D. Agrawal
Vishwani D. Agrawal Auburn University
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Hans Peter Graf
Hans Peter Graf NEC (United States)
Jorg Henkel
Jorg Henkel Karlsruhe Institute of Technology
Kwang-Ting Cheng
Kwang-Ting Cheng Hong Kong University of Science and Technology
Niraj K. Jha
Niraj K. Jha Princeton University
Wayne Wolf
Wayne Wolf University of Nebraska–Lincoln
Jiang Xu
Jiang Xu Hong Kong University of Science and Technology
Swagath Venkataramani
Swagath Venkataramani IBM (United States)

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