World's Best Scientists 2026 revealed!
Vikram Krishnamurthy

Vikram Krishnamurthy

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
62
Citations
13205
World Ranking
1466
National Ranking
606

Computer Science

D-Index
61
Citations
13071
World Ranking
3111
National Ranking
1516

Vikram Krishnamurthy 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 Vikram Krishnamurthy 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: 555 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Vikram Krishnamurthy 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 Vikram Krishnamurthy 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: 62 D-Index — 80th percentile

80% 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

  • 2005 - IEEE Fellow For contributions to adaptive sensor signal processing.

Overview

Vikram Krishnamurthy is affiliated with the University of British Columbia in Canada. Their research spans across multiple fields including Computer Science and Physics and Astronomy, with a focus on several subfields such as Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Management Science and Operations Research, and Aerospace Engineering.

The scientist's research topics include:

  • Opinion Dynamics and Social Influence
  • Complex Network Analysis Techniques
  • Target Tracking and Data Fusion in Sensor Networks
  • Distributed Sensor Networks and Detection Algorithms
  • Statistical Mechanics and Entropy
  • Radar Systems and Signal Processing
  • Game Theory and Applications

Vikram Krishnamurthy has published extensively in various venues. The most frequent publication venues are:

  • arXiv (Cornell University), with 52 publications
  • IEEE Transactions on Aerospace and Electronic Systems, with 7 publications
  • IEEE Transactions on Signal Processing, with 5 publications
  • IEEE Transactions on Computational Social Systems, with 4 publications
  • Automatica, with 3 publications

Recent notable papers include:

  • "Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems," 2020, IEEE Transactions on Signal Processing
  • "Principal-Agent Problem as a Principled Approach to Electronic Counter-Countermeasures in Radar," 2022, IEEE Transactions on Aerospace and Electronic Systems
  • "Adversarial Radar Inference: Inverse Tracking, Identifying Cognition, and Designing Smart Interference," 2021, IEEE Transactions on Aerospace and Electronic Systems
  • "Metacognitive Radar: Masking Cognition From an Inverse Reinforcement Learner," 2023, IEEE Transactions on Aerospace and Electronic Systems
  • "Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation," 2021, IEEE Transactions on Computational Social Systems

Frequent coauthors collaborating with Vikram Krishnamurthy include:

  • Kunal Pattanayak
  • Buddhika Nettasinghe
  • Luke Snow
  • Bosung Kang
  • Muralidhar Rangaswamy

The scientist has authored works published by Cambridge University Press, including a forthcoming book titled Partially Observed Markov Decision Processes set for publication in 2025.

Vikram Krishnamurthy received the IEEE Fellow award in 2005 for contributions to adaptive sensor signal processing.

Best Publications

  • Particle filters for state estimation of jump Markov linear systems

    A. Doucet;N.J. Gordon;V. Krishnamurthy

  • Performance analysis of a dynamic programming track before detect algorithm

    L.A. Johnston;V. Krishnamurthy

  • On-line estimation of hidden Markov model parameters based on the Kullback-Leibler information measure

    V. Krishnamurthy;J.B. Moore

  • Algorithms for optimal scheduling and management of hidden Markov model sensors

    V. Krishnamurthy

  • Optimal Joint Session Admission Control in Integrated WLAN and CDMA Cellular Networks with Vertical Handoff

    F. Yu;V. Krishnamurthy

  • Decentralized dynamic spectrum access for cognitive radios: cooperative design of a non-cooperative game

    M. Maskery;V. Krishnamurthy;Qing Zhao

  • An improvement to the interacting multiple model (IMM) algorithm

    L.A. Johnston;V. Krishnamurthy

  • Expectation maximization algorithms for MAP estimation of jump Markov linear systems

    A. Logothetis;V. Krishnamurthy

  • Cross-Layer optimal connection admission control for variable bit rate multimedia traffic in packet wireless CDMA networks

    Fei Yu;V. Krishnamurthy;V.C.M. Leung

  • Structured Threshold Policies for Dynamic Sensor Scheduling—A Partially Observed Markov Decision Process Approach

    V. Krishnamurthy;D.V. Djonin

  • Stochastic sampling algorithms for state estimation of jump Markov linear systems

    A. Doucet;A. Logothetis;V. Krishnamurthy

  • Transmission Scheduling for Optimizing Sensor Network Lifetime: A Stochastic Shortest Path Approach

    Yunxia Chen;Qing Zhao;V. Krishnamurthy;D. Djonin

  • MIMO Transmission Control in Fading Channels—A Constrained Markov Decision Process Formulation With Monotone Randomized Policies

    D.V. Djonin;V. Krishnamurthy

  • New finite-dimensional filters for parameter estimation of discrete-time linear Gaussian models

    R.J. Elliott;V. Krishnamurthy

  • Hidden Markov model multiarm bandits: a methodology for beam scheduling in multitarget tracking

    V. Krishnamurthy;R.J. Evans

  • Regime Switching Stochastic Approximation Algorithms with Application to Adaptive Discrete Stochastic Optimization

    Gang George Yin;Vikram Krishnamurthy;Cristina Ion

  • Cognitive Base Stations in LTE/3GPP Femtocells: A Correlated Equilibrium Game-Theoretic Approach

    J. W. Huang;V. Krishnamurthy

  • IEEE TRANSACTIONS® ON AEROSPACE AND ELECTRONIC SYSTEMS

    Avionic Systems;Murat Efe;Myron Kayton;Michael Rice

  • Adaptive MIMO antenna selection via discrete stochastic optimization

    I. Berenguer;Xiaodong Wang;V. Krishnamurthy

  • Robust Meter Placement for State Estimation in Active Distribution Systems

    Mohammad Ghasemi Damavandi;Vikram Krishnamurthy;Jose R. Marti

  • Interference management using cognitive base-stations for UMTS LTE

    A. Attar;V. Krishnamurthy;O. N. Gharehshiran

  • Partially Observed Markov Decision Processes: From Filtering to Controlled Sensing

    Vikram Krishnamurthy

Frequent Co-Authors

George Yin
George Yin University of Connecticut
Robert J. Elliott
Robert J. Elliott University of Calgary
Bo Wahlberg
Bo Wahlberg Royal Institute of Technology
John B. Moore
John B. Moore Australian National University
Leigh A. Johnston
Leigh A. Johnston University of Melbourne
Robin J. Evans
Robin J. Evans University of Melbourne
Jamie Evans
Jamie Evans University of Melbourne
H. Vincent Poor
H. Vincent Poor Princeton University
Subhrakanti Dey
Subhrakanti Dey Uppsala University
Ba-Ngu Vo
Ba-Ngu Vo Curtin University

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