World's Best Scientists 2026 revealed!
Subhrakanti Dey

Subhrakanti Dey

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
39
Citations
6433
World Ranking
4693
National Ranking
80

Computer Science

D-Index
40
Citations
6527
World Ranking
9325
National Ranking
67

Subhrakanti Dey 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 Subhrakanti Dey 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: 288 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Subhrakanti Dey 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 Subhrakanti Dey 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Subhrakanti Dey is affiliated with Uppsala University in Sweden and has an extensive research portfolio spanning computer science and engineering. Their work primarily intersects with areas such as computer networks and communications, artificial intelligence, and control and systems engineering. They have contributed significantly to fields involving distributed systems and privacy-preserving technologies.

Their research topics include:

  • Smart Grid Security and Resilience
  • Distributed Sensor Networks and Detection Algorithms
  • Distributed Control Multi-Agent Systems
  • Stochastic Gradient Optimization Techniques
  • Privacy-Preserving Technologies in Data
  • Stability and Control of Uncertain Systems
  • Adaptive Dynamic Programming Control

Subhrakanti Dey's recent publications demonstrate a focus on privacy, control systems, and optimization within networked environments. Notable works include:

  • "Sequential Detection of Replay Attacks," 2022, IEEE Transactions on Automatic Control
  • "Privacy-Preserving Push-Sum Average Consensus via State Decomposition," 2023, IEEE Transactions on Automatic Control
  • "A Differentially Private Method for Distributed Optimization in Directed Networks via State Decomposition," 2023, IEEE Transactions on Control of Network Systems
  • "Differential Privacy in Distributed Optimization With Gradient Tracking," 2024, IEEE Transactions on Automatic Control
  • "Transmission Scheduling for Multi-Process Multi-Sensor Remote Estimation via Approximate Dynamic Programming," 2021, Automatica

Their work appears regularly in several high-impact scientific venues, including:

  • arXiv (Cornell University)
  • Automatica
  • IEEE Transactions on Automatic Control
  • IFAC-PapersOnLine
  • IEEE Control Systems Letters

Collaboration is a notable aspect of their academic endeavors. Frequent coauthors include:

  • Ling Shi
  • Anders Åhlén
  • Luca Schenato
  • Arunava Naha
  • Lingying Huang

Subhrakanti Dey's work extensively covers technological approaches toward enhancing security and resilience in smart grids, advancing distributed sensor and control network methodologies, and developing privacy-preserving techniques for data in networked optimization problems. Their research contributes to theoretical foundations as well as applications in systems engineering and communications.

Best Publications

  • Stability of Kalman filtering with Markovian packet losses

    Minyi Huang;Subhrakanti Dey

  • SINR-Based DoS Attack on Remote State Estimation: A Game-Theoretic Approach

    Yuzhe Li;Daniel E. Quevedo;Subhrakanti Dey;Ling Shi

  • Data Rate Theorem for Stabilization Over Time-Varying Feedback Channels

    P. Minero;M. Franceschetti;S. Dey;G.N. Nair

  • A multi-channel transmission schedule for remote state estimation under DoS attacks

    Kemi Ding;Yuzhe Li;Daniel E. Quevedo;Subhrakanti Dey

  • Massive MIMO Channel-Aware Decision Fusion

    Domenico Ciuonzo;Pierluigi Salvo Rossi;Subhrakanti Dey

  • On Kalman filtering over fading wireless channels with controlled transmission powers

    Daniel E. Quevedo;Anders AhléN;Alex S. Leong;Subhrakanti Dey

  • A power control game based on outage probabilities for multicell wireless data networks

    T. Alpcan;T. Basar;S. Dey

  • Optimal and distributed protocols for cross-layer design of physical and transport layers in MANETs

    John Papandriopoulos;Subhrakanti Dey;Jamie Evans

  • Stochastic consensus over noisy networks with Markovian and arbitrary switches

    Minyi Huang;Subhrakanti Dey;Girish N. Nair;Jonathan H. Manton

  • Massive MIMO for Decentralized Estimation of a Correlated Source

    Amirpasha Shirazinia;Subhrakanti Dey;Domenico Ciuonzo;Pierluigi Salvo Rossi

  • Kalman filtering with faded measurements

    Subhrakanti Dey;Alex S. Leong;Jamie S. Evans

  • Sensor Scheduling in Variance Based Event Triggered Estimation With Packet Drops

    Alex S. Leong;Subhrakanti Dey;Daniel E. Quevedo

  • Risk-sensitive filtering and smoothing via reference probability methods

    S. Dey;J.B. Moore

  • Optimal power control for Rayleigh-faded multiuser systems with outage constraints

    J. Papandriopoulos;J. Evans;S. Dey

  • Transmission Scheduling for Remote State Estimation Over Packet Dropping Links in the Presence of an Eavesdropper

    Alex S. Leong;Daniel E. Quevedo;Daniel Dolz;Subhrakanti Dey

  • Compressed Sensing With Prior Information: Information-Theoretic Limits and Practical Decoders

    J. Scarlett;J. S. Evans;S. Dey

  • Optimal Energy Allocation for Kalman Filtering Over Packet Dropping Links With Imperfect Acknowledgments and Energy Harvesting Constraints

    Mojtaba Nourian;Alex S. Leong;Subhrakanti Dey

  • Power Control of an Energy Harvesting Sensor for Remote State Estimation

    Yuzhe Li;Fan Zhang;Daniel E. Quevedo;Vincent Lau

  • Decision Fusion Over Noncoherent Fading Multiaccess Channels

    Feng Li;J. S. Evans;S. Dey

  • Attack Allocation on Remote State Estimation in Multi-Systems: Structural Results and Asymptotic Solution

    Xiaoqiang Ren;Junfeng Wu;Junfeng Wu;Subhrakanti Dey;Ling Shi

  • The performance and limitations of ε-stealthy attacks on higher order systems

    Enoch Kung;Subhrakanti Dey;Ling Shi

  • Risk-sensitive filtering and smoothing for hidden Markov models

    Subhrakanti Dey;John B. Moore

Frequent Co-Authors

Daniel E. Quevedo
Daniel E. Quevedo University of Sydney
Jamie Evans
Jamie Evans University of Melbourne
Ling Shi
Ling Shi Hong Kong University of Science and Technology
John B. Moore
John B. Moore Australian National University
Luca Schenato
Luca Schenato University of Padua
Minyi Huang
Minyi Huang Carleton University
Massimo Franceschetti
Massimo Franceschetti University of California, San Diego
Vikram Krishnamurthy
Vikram Krishnamurthy Cornell University
Tansu Alpcan
Tansu Alpcan University of Melbourne
Robert J. Elliott
Robert J. Elliott University of Calgary

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