H-Index & Metrics Best Publications
Thiagalingam Kirubarajan

Thiagalingam Kirubarajan

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 48 Citations 16,710 251 World Ranking 3118 National Ranking 126
Electronics and Electrical Engineering D-index 48 Citations 22,450 219 World Ranking 1290 National Ranking 68

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Algorithm

His primary scientific interests are in Sensor fusion, Estimator, Algorithm, Artificial intelligence and Kalman filter. His Estimator study combines topics in areas such as Moving target indication and Radar tracker. His studies in Artificial intelligence integrate themes in fields like Radar, Clutter and Computer vision.

Thiagalingam Kirubarajan interconnects Estimation theory and Adaptive filter in the investigation of issues within Kalman filter. The concepts of his Tracking study are interwoven with issues in Estimation, Filter and Business intelligence. In Estimation, Thiagalingam Kirubarajan works on issues like Linear system, which are connected to Control engineering.

His most cited work include:

  • Estimation with Applications to Tracking and Navigation (3415 citations)
  • Estimation with Applications to Tracking and Navigation: Theory, Algorithms, and Software (1540 citations)
  • Ground target tracking with variable structure IMM estimator (259 citations)

What are the main themes of his work throughout his whole career to date?

Thiagalingam Kirubarajan focuses on Algorithm, Tracking, Artificial intelligence, Control theory and Estimator. The study incorporates disciplines such as Filter, Radar tracker, Mathematical optimization, Particle filter and Monte Carlo method in addition to Algorithm. In his study, Fire-control radar is inextricably linked to Radar lock-on, which falls within the broad field of Radar tracker.

His Tracking system study, which is part of a larger body of work in Tracking, is frequently linked to Association, bridging the gap between disciplines. The Artificial intelligence study combines topics in areas such as Radar, Clutter, Computer vision and Pattern recognition. His Clutter research is multidisciplinary, incorporating elements of Probabilistic logic and Constant false alarm rate.

He most often published in these fields:

  • Algorithm (36.12%)
  • Tracking (23.99%)
  • Artificial intelligence (22.91%)

What were the highlights of his more recent work (between 2013-2021)?

  • Algorithm (36.12%)
  • Tracking (23.99%)
  • Radar (18.87%)

In recent papers he was focusing on the following fields of study:

Thiagalingam Kirubarajan mainly investigates Algorithm, Tracking, Radar, Filter and Artificial intelligence. The various areas that he examines in his Algorithm study include Upper and lower bounds, Mathematical optimization, Particle filter, Point and Monte Carlo method. The Vehicle tracking system research Thiagalingam Kirubarajan does as part of his general Tracking study is frequently linked to other disciplines of science, such as Retrodiction and Association, therefore creating a link between diverse domains of science.

His Filter research incorporates elements of Kalman filter, Estimation theory, State and Noise. His work deals with themes such as Computer vision and Pattern recognition, which intersect with Artificial intelligence. His biological study spans a wide range of topics, including Radar engineering details, Real-time computing and Estimation.

Between 2013 and 2021, his most popular works were:

  • A Multiple-Detection Probability Hypothesis Density Filter (43 citations)
  • Minimum Dispersion Beamforming for Non-Gaussian Signals (37 citations)
  • Robust Beamforming by Linear Programming (36 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Algorithm

Thiagalingam Kirubarajan spends much of his time researching Algorithm, Mathematical optimization, Clutter, Artificial intelligence and Radar tracker. Thiagalingam Kirubarajan has included themes like Filter, Signal-to-noise ratio, Energy, Point spread function and Kalman filter in his Algorithm study. His work in Clutter tackles topics such as Probabilistic logic which are related to areas like Data mining, Noise measurement and Radar.

Thiagalingam Kirubarajan works on Artificial intelligence which deals in particular with Tracking. His Radar tracker research includes elements of Tracking system, Upper and lower bounds and Estimator. Thiagalingam Kirubarajan has researched Estimator in several fields, including Control theory and Extended Kalman filter.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Yaakov Bar-Shalom;T. Kirubarajan;Xiao Rong Li.
(2001)

8206 Citations

Estimation with Applications to Tracking and Navigation

Yaakov Bar-Shalom;Thiagalingam Kirubarajan;X.-Rong Li.
(2001)

5533 Citations

Ground target tracking with variable structure IMM estimator

T. Kirubarajan;Y. Bar-Shalom;K.R. Pattipati;I. Kadar.
IEEE Transactions on Aerospace and Electronic Systems (2000)

392 Citations

Probabilistic data association techniques for target tracking in clutter

T. Kirubarajan;Y. Bar-Shalom.
Proceedings of the IEEE (2004)

366 Citations

IMMPDAF for radar management and tracking benchmark with ECM

T. Kirubarajan;Y. Bar-Shalom;W.D. Blair;G.A. Watson.
IEEE Transactions on Aerospace and Electronic Systems (1998)

266 Citations

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

Huimin Chen;T. Kirubarajan;Y. Bar-Shalom.
IEEE Transactions on Aerospace and Electronic Systems (2003)

253 Citations

Low observable target motion analysis using amplitude information

T. Kirubarajan;Y. Bar-Shalom.
advances in computing and communications (1995)

249 Citations

Multisensor resource deployment using posterior Cramer-Rao bounds

M.L. Hernandez;T. Kirubarajan;Y. Bar-Shalom.
IEEE Transactions on Aerospace and Electronic Systems (2004)

228 Citations

Benchmark for radar allocation and tracking in ECM

W.D. Blair;G.A. Watson;T. Kirubarajan;Y. Bar-Shalom.
IEEE Transactions on Aerospace and Electronic Systems (1998)

204 Citations

Multiple-model probability hypothesis density filter for tracking maneuvering targets

K. Punithakumar;T. Kirubarajan;A. Sinha.
IEEE Transactions on Aerospace and Electronic Systems (2008)

203 Citations

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Best Scientists Citing Thiagalingam Kirubarajan

Yaakov Bar-Shalom

Yaakov Bar-Shalom

University of Connecticut

Publications: 166

Peter Willett

Peter Willett

University of Connecticut

Publications: 147

X. Rong Li

X. Rong Li

University of New Orleans

Publications: 68

Branko Ristic

Branko Ristic

RMIT University

Publications: 62

Simo Särkkä

Simo Särkkä

Aalto University

Publications: 51

Fredrik Gustafsson

Fredrik Gustafsson

Linköping University

Publications: 48

Ba-Ngu Vo

Ba-Ngu Vo

Curtin University

Publications: 40

Krishna R. Pattipati

Krishna R. Pattipati

University of Connecticut

Publications: 39

Pramod K. Varshney

Pramod K. Varshney

Syracuse University

Publications: 38

Stergios I. Roumeliotis

Stergios I. Roumeliotis

University of Minnesota

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Erik Blasch

Erik Blasch

United States Air Force Research Laboratory

Publications: 33

Uwe D. Hanebeck

Uwe D. Hanebeck

Karlsruhe Institute of Technology

Publications: 30

Mark Campbell

Mark Campbell

Cornell University

Publications: 29

Inseok Hwang

Inseok Hwang

Purdue University West Lafayette

Publications: 27

Ba-Tuong Vo

Ba-Tuong Vo

Curtin University

Publications: 26

Mark L. Psiaki

Mark L. Psiaki

Virginia Tech

Publications: 25

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