H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 33 Citations 4,804 147 World Ranking 2857 National Ranking 1147

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Computer network

Vijay Gupta mainly investigates Control theory, Network packet, Control theory, Real-time computing and Distributed computing. By researching both Control theory and Erasure, he produces research that crosses academic boundaries. Network packet is closely attributed to Optimal control in his study.

His Control theory study combines topics from a wide range of disciplines, such as Stochastic process, Injection attacks, Stochastic control and Detector. In his study, Mathematical optimization is strongly linked to Variable-order Markov model, which falls under the umbrella field of Stochastic control. His work investigates the relationship between Real-time computing and topics such as Scheduling that intersect with problems in Intelligent sensor.

His most cited work include:

  • On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage (439 citations)
  • State Estimation in Electric Power Grids: Meeting New Challenges Presented by the Requirements of the Future Grid (294 citations)
  • Optimal LQG Control Across Packet-Dropping Links (282 citations)

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

Vijay Gupta mainly investigates Control theory, Mathematical optimization, Control theory, Control and Passivity. His work deals with themes such as Markov process and Network packet, which intersect with Control theory. He has included themes like Linear-quadratic-Gaussian control and Optimal control in his Network packet study.

His Mathematical optimization research incorporates themes from Electric vehicle, Markov decision process, Markov chain and Dynamic pricing. His study on Control theory also encompasses disciplines like

  • Real-time computing which intersects with area such as Scheduling,
  • Control system which connect with Control engineering. His biological study spans a wide range of topics, including Discrete time and continuous time and Feedback passivation.

He most often published in these fields:

  • Control theory (35.22%)
  • Mathematical optimization (21.59%)
  • Control theory (16.28%)

What were the highlights of his more recent work (between 2018-2021)?

  • Control theory (35.22%)
  • Control theory (16.28%)
  • Mathematical optimization (21.59%)

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

Vijay Gupta mostly deals with Control theory, Control theory, Mathematical optimization, Passivity and Stability. His Control theory research is multidisciplinary, incorporating perspectives in Microgrid, Voltage and Transient. His Control theory study combines topics in areas such as Control system and Control.

His work carried out in the field of Mathematical optimization brings together such families of science as Multi-agent system, Markov decision process, Principal, Stackelberg competition and Function. His Passivity study incorporates themes from Control engineering and Interconnection. The concepts of his Stability study are interwoven with issues in Kalman filter, Distributed computing, Filter and State.

Between 2018 and 2021, his most popular works were:

  • Tradeoffs in Stochastic Event-Triggered Control (9 citations)
  • A Contract Design Approach for Phantom Demand Response (8 citations)
  • Reliability Contracts Between Renewable and Natural Gas Power Producers (8 citations)

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

  • Statistics
  • Artificial intelligence
  • Computer network

Vijay Gupta mainly focuses on Control theory, Control theory, Mathematical optimization, Stability and Control system. His Control theory research is mostly focused on the topic Nonlinear system. His research integrates issues of Linear system and Optimal control in his study of Control theory.

His research in Optimal control intersects with topics in Scheduling, Distributed model predictive control, State and Realization. His research integrates issues of Feedback loop, Markov decision process, Incentive design and Temporal logic in his study of Mathematical optimization. His Stability study deals with Energy management intersecting with Control, Range and Robust control.

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.

Top Publications

On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage

Vijay Gupta;Timothy H. Chung;Babak Hassibi;Richard M. Murray.
Automatica (2006)

507 Citations

State Estimation in Electric Power Grids: Meeting New Challenges Presented by the Requirements of the Future Grid

Yih-Fang Huang;S. Werner;Jing Huang;N. Kashyap.
IEEE Signal Processing Magazine (2012)

431 Citations

Optimal LQG Control Across Packet-Dropping Links

Vijay Gupta;Babak Hassibi;Richard M. Murray.
Systems & Control Letters (2007)

381 Citations

Toward a Science of Cyber–Physical System Integration

J. Sztipanovits;X. Koutsoukos;G. Karsai;N. Kottenstette.
Proceedings of the IEEE (2012)

329 Citations

Data Transmission Over Networks for Estimation and Control

V. Gupta;A.F. Dana;J.P. Hespanha;R.M. Murray.
IEEE Transactions on Automatic Control (2009)

218 Citations

On a decentralized active sensing strategy using mobile sensor platforms in a network

T.H. Chung;V. Gupta;J.W. Burdick;R.M. Murray.
conference on decision and control (2004)

183 Citations

Risk-Sensitive Control Under Markov Modulated Denial-of-Service (DoS) Attack Strategies

Getachew K. Befekadu;Vijay Gupta;Panos J. Antsaklis.
IEEE Transactions on Automatic Control (2015)

123 Citations

On relationships among passivity, positive realness, and dissipativity in linear systems

Nicholas Kottenstette;Michael J. McCourt;Meng Xia;Vijay Gupta.
Automatica (2014)

113 Citations

Distributed Energy Management for Networked Microgrids Using Online ADMM With Regret

Wann-Jiun Ma;Jianhui Wang;Vijay Gupta;Chen Chen.
IEEE Transactions on Smart Grid (2018)

108 Citations

Stochastic Dynamic Pricing for EV Charging Stations With Renewable Integration and Energy Storage

Chao Luo;Yih-Fang Huang;Vijay Gupta.
IEEE Transactions on Smart Grid (2018)

105 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Vijay Gupta

Ling Shi

Ling Shi

Hong Kong University of Science and Technology

Publications: 81

Daniel E. Quevedo

Daniel E. Quevedo

Queensland University of Technology

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Karl Henrik Johansson

Karl Henrik Johansson

Royal Institute of Technology

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Bruno Sinopoli

Bruno Sinopoli

Washington University in St. Louis

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George J. Pappas

George J. Pappas

University of Pennsylvania

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Panos J. Antsaklis

Panos J. Antsaklis

University of Notre Dame

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Lihua Xie

Lihua Xie

Nanyang Technological University

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Hideaki Ishii

Hideaki Ishii

Tokyo Institute of Technology

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Luca Schenato

Luca Schenato

University of Padua

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Zidong Wang

Zidong Wang

Brunel University London

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Massimo Franceschetti

Massimo Franceschetti

University of California, San Diego

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Minyue Fu

Minyue Fu

University of Newcastle Australia

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Xenofon Koutsoukos

Xenofon Koutsoukos

Vanderbilt University

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Richard M. Murray

Richard M. Murray

California Institute of Technology

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Henrik Sandberg

Henrik Sandberg

Royal Institute of Technology

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