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Thiagalingam Kirubarajan

Thiagalingam Kirubarajan

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Computer Science
Canada
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
63
Citations
29166
World Ranking
1330
National Ranking
70

Computer Science

D-Index
63
Citations
29159
World Ranking
2679
National Ranking
99

Thiagalingam Kirubarajan 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 Thiagalingam Kirubarajan 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: 431 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Thiagalingam Kirubarajan 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 Thiagalingam Kirubarajan 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: 63 D-Index — 81st percentile

81% 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

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Thiagalingam Kirubarajan is affiliated with McMaster University in Canada and has a significant publication record in the fields of Engineering and Computer Science. Their work encompasses 56 publications in Engineering and 49 in Computer Science, with a focus on areas such as Artificial Intelligence, Aerospace Engineering, and Computer Vision and Pattern Recognition.

Their research subfields include:

  • Artificial Intelligence
  • Aerospace Engineering
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Ocean Engineering

Kirubarajan's main topics of research cover:

  • Target Tracking and Data Fusion in Sensor Networks
  • Robotic Path Planning Algorithms
  • Guidance and Control Systems
  • Infrared Target Detection Methodologies
  • Advanced Measurement and Detection Methods
  • Underwater Acoustics Research
  • Indoor and Outdoor Localization Technologies

The scientist has contributed multiple papers to notable venues. Frequent publication venues include:

  • IEEE Transactions on Aerospace and Electronic Systems
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Signal Processing
  • IEEE Transactions on Intelligent Transportation Systems

Recent papers by Kirubarajan cover a range of topics related to aerospace systems, surveillance, and image clustering, such as:

  • Underwater Target Tracking in Uncertain Multipath Ocean Environments (2020), published in IEEE Transactions on Aerospace and Electronic Systems
  • Airborne Maritime Surveillance Using Magnetic Anomaly Detection Signature (2020), published in IEEE Transactions on Aerospace and Electronic Systems
  • Reward Factor-Based Multiple Agile Satellites Scheduling With Energy and Memory Constraints (2022), published in IEEE Transactions on Aerospace and Electronic Systems
  • Consensus and Complementary Regularized Non-negative Matrix Factorization for Multi-view Image Clustering (2022), published in Information Sciences
  • MILP Formulation for Aircraft Path Planning in Persistent Surveillance (2020), published in IEEE Transactions on Aerospace and Electronic Systems

Frequent co-authors associated with Kirubarajan include:

  • Thiagalingam Kirubarajan
  • T. Kirubarajan
  • Dan Song
  • D. Richard Brown
  • Nikhil Sharma

Best Publications

  • Estimation with Applications to Tracking and Navigation: Theory, Algorithms, and Software

    Yaakov Bar-Shalom;T. Kirubarajan;Xiao Rong Li

  • Estimation with Applications to Tracking and Navigation

    Yaakov Bar-Shalom;Thiagalingam Kirubarajan;X.-Rong Li

  • Ground target tracking with variable structure IMM estimator

    T. Kirubarajan;Y. Bar-Shalom;K.R. Pattipati;I. Kadar

  • Probabilistic data association techniques for target tracking in clutter

    T. Kirubarajan;Y. Bar-Shalom

  • IMMPDAF for radar management and tracking benchmark with ECM

    T. Kirubarajan;Y. Bar-Shalom;W.D. Blair;G.A. Watson

  • Performance limits of track-to-track fusion versus centralized estimation: theory and application [sensor fusion]

    Huimin Chen;T. Kirubarajan;Y. Bar-Shalom

  • Multisensor resource deployment using posterior Cramer-Rao bounds

    M.L. Hernandez;T. Kirubarajan;Y. Bar-Shalom

  • Low observable target motion analysis using amplitude information

    T. Kirubarajan;Y. Bar-Shalom

  • Benchmark for radar allocation and tracking in ECM

    W.D. Blair;G.A. Watson;T. Kirubarajan;Y. Bar-Shalom

  • Multiple-model probability hypothesis density filter for tracking maneuvering targets

    K. Punithakumar;T. Kirubarajan;A. Sinha

  • Comparison of EKF, pseudomeasurement, and particle filters for a bearing-only target tracking problem

    Xiangdong Lin;Thiagalingam Kirubarajan;Yaakov Bar-Shalom;Simon Maskell

  • Exact multisensor dynamic bias estimation with local tracks

    Xiangdong Lin;Y. Bar-Shalom;T. Kirubarajan

  • Kalman filter versus IMM estimator: when do we need the latter?

    T. Kirubarajan;Y. Bar-Shalom

  • A Multiple-Detection Joint Probabilistic Data Association Filter

    B. Habtemariam;R. Tharmarasa;T. Thayaparan;M. Mallick

  • Precision large scale air traffic surveillance using IMM/assignment estimators

    H. Wang;T. Kirubarajan;Y. Bar-Shalom

  • Multisensor multitarget bias estimation for general asynchronous sensors

    X. Lin;Y. Bar-Shalom;T. Kirubarajan

  • Track labeling and PHD filter for multitarget tracking

    L. Lin;Y. Bar-Shalom;T. Kirubarajan

  • Tracking with classification-aided multiframe data association

    Y. Bar-Shalom;T. Kirubarajan;C. Gokberk

  • Joint Node Selection and Power Allocation Strategy for Multitarget Tracking in Decentralized Radar Networks

    Mingchi Xie;Wei Yi;Thia Kirubarajan;Lingjiang Kong

  • Multiassignment for tracking a large number of overlapping objects [and application to fibroblast cells]

    T. Kirubarajan;Y. Bar-Shalom;K.R. Pattipati

  • A Multiple Model Probability hypothesis density filter for tracking maneuvering targets

    Kumaradevan Punithakumar;Thiagalingam Kirubarajan;Abhijit Sinha

Frequent Co-Authors

Yaakov Bar-Shalom
Yaakov Bar-Shalom University of Connecticut
Krishna R. Pattipati
Krishna R. Pattipati University of Connecticut
X. Rong Li
X. Rong Li University of New Orleans
Peter Willett
Peter Willett University of Connecticut
Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt
Hing Cheung So
Hing Cheung So City University of Hong Kong
Xu Tang
Xu Tang University of Electronic Science and Technology of China
Saeid Habibi
Saeid Habibi McMaster University
Shahram Shahbazpanahi
Shahram Shahbazpanahi University of Ontario Institute of Technology
Alfonso Farina
Alfonso Farina Finmeccanica (Italy)

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