D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 31 Citations 5,070 145 World Ranking 3218 National Ranking 97

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Mathematical analysis
  • Control theory

His primary areas of study are Control theory, Nonlinear system, Control theory, Quantum network and Quantum operation. In his study, Quantum system and Product is strongly linked to Quantum computer, which falls under the umbrella field of Control theory. Matthew R. James combines subjects such as Kalman filter, Partial differential equation and Dissipative system with his study of Nonlinear system.

His Quantum operation research incorporates themes from Quantum information and Quantum probability, Quantum process. The study incorporates disciplines such as Quantum technology and Applied mathematics in addition to Quantum probability. His work deals with themes such as Quantum algorithm and Quantum error correction, which intersect with Quantum process.

His most cited work include:

  • The Series Product and Its Application to Quantum Feedforward and Feedback Networks (424 citations)
  • An Introduction to Quantum Filtering (360 citations)
  • $H^{\infty}$ Control of Linear Quantum Stochastic Systems (357 citations)

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

His main research concerns Control theory, Quantum, Nonlinear system, Control theory and Quantum system. As part of his studies on Control theory, he often connects relevant areas like Dynamic programming. His Quantum study incorporates themes from Quantum optics, Stochastic differential equation, Applied mathematics, Statistical physics and Topology.

His studies in Statistical physics integrate themes in fields like Quantum algorithm, Open quantum system, Quantum operation and Quantum probability, Quantum process. He usually deals with Quantum process and limits it to topics linked to Quantum dissipation and Quantum error correction. His Control theory study integrates concerns from other disciplines, such as Stability and Control system.

He most often published in these fields:

  • Control theory (38.23%)
  • Quantum (33.03%)
  • Nonlinear system (18.96%)

What were the highlights of his more recent work (between 2014-2021)?

  • Quantum (33.03%)
  • Statistical physics (11.01%)
  • Control theory (38.23%)

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

Quantum, Statistical physics, Control theory, Quantum system and Quantum state are his primary areas of study. His Quantum research includes elements of Stochastic differential equation, Gaussian and Topology. His Control theory research is multidisciplinary, relying on both Quantum capacity and Quantum operation.

His Quantum operation research incorporates elements of Quantum dissipation, Quantum channel and Quantum probability. The concepts of his Quantum state study are interwoven with issues in State and Mathematical optimization. His biological study spans a wide range of topics, including Control system and Optimal control.

Between 2014 and 2021, his most popular works were:

  • Comparing resolved-sideband cooling and measurement-based feedback cooling on an equal footing: Analytical results in the regime of ground-state cooling (22 citations)
  • Analysis and control of quantum finite-level systems driven by single-photon input states (20 citations)
  • Quantum feedback control of linear stochastic systems with feedback-loop time delays (20 citations)

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

  • Quantum mechanics
  • Mathematical analysis
  • Control theory

His primary scientific interests are in Quantum, Statistical physics, Quantum system, Quantum operation and Control theory. His Quantum research is multidisciplinary, incorporating elements of Stochastic differential equation, Applied mathematics and Hilbert space. Matthew R. James combines subjects such as Colors of noise, Inequality and Quantum protocols with his study of Statistical physics.

He has included themes like Quantum information, Quantum algorithm, Quantum error correction and Quantum process in his Quantum operation study. Particularly relevant to Quantum probability is his body of work in Quantum process. His research on Control theory focuses in particular on Control theory.

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

Control of Linear Quantum Stochastic Systems

Matthew R. James;Hendra I. Nurdin;Ian R. Petersen.
Quantum-Atom Optics Downunder (2007), paper QME32 (2007)

493 Citations

An Introduction to Quantum Filtering

Luc Bouten;Ramon Van Handel;Matthew R. James.
Siam Journal on Control and Optimization (2007)

439 Citations

The Series Product and Its Application to Quantum Feedforward and Feedback Networks

J. Gough;M.R. James.
IEEE Transactions on Automatic Control (2009)

424 Citations

$H^{\infty}$ Control of Linear Quantum Stochastic Systems

M.R. James;H.I. Nurdin;I.R. Petersen.
IEEE Transactions on Automatic Control (2008)

367 Citations

Minimax optimal control of stochastic uncertain systems with relative entropy constraints

I.R. Petersen;M.R. James;P. Dupuis.
IEEE Transactions on Automatic Control (2000)

312 Citations

Coherent quantum LQG control

Hendra I. Nurdin;Matthew R. James;Ian R. Petersen.
Automatica (2009)

310 Citations

Risk-sensitive control and dynamic games for partially observed discrete-time nonlinear systems

M.R. James;J.S. Baras;R.J. Elliott.
IEEE Transactions on Automatic Control (1994)

305 Citations

Extending H-infinity Control to Nonlinear Systems: Control of Nonlinear Systems to Achieve Performance Objectives

J. William Helton;Matthew R. James.
(1987)

289 Citations

Squeezing Components in Linear Quantum Feedback Networks

John Edward Gough;Matthew R. James;Hendra I. Nurdin.
Physical Review A (2010)

195 Citations

Quantum Feedback Networks: Hamiltonian Formulation

John Edward Gough;M. R. James.
Communications in Mathematical Physics (2009)

188 Citations

Best Scientists Citing Matthew R. James

Ian R. Petersen

Ian R. Petersen

Australian National University

Publications: 284

Daoyi Dong

Daoyi Dong

UNSW Sydney

Publications: 77

Lars Peter Hansen

Lars Peter Hansen

University of Chicago

Publications: 36

Robert J. Elliott

Robert J. Elliott

University of Adelaide

Publications: 30

Hideo Mabuchi

Hideo Mabuchi

Stanford University

Publications: 25

Thomas J. Sargent

Thomas J. Sargent

New York University

Publications: 23

Tamer Basar

Tamer Basar

University of Illinois at Urbana-Champaign

Publications: 19

John B. Moore

John B. Moore

Australian National University

Publications: 18

Vikram Krishnamurthy

Vikram Krishnamurthy

Cornell University

Publications: 17

Wendell H. Fleming

Wendell H. Fleming

Brown University

Publications: 17

Tzyh-Jong Tarn

Tzyh-Jong Tarn

Washington University in St. Louis

Publications: 16

John S. Baras

John S. Baras

University of Maryland, College Park

Publications: 16

Paul Dupuis

Paul Dupuis

Brown University

Publications: 15

Horacio J. Marquez

Horacio J. Marquez

University of Alberta

Publications: 13

Andrey V. Savkin

Andrey V. Savkin

UNSW Sydney

Publications: 13

Herschel Rabitz

Herschel Rabitz

Princeton University

Publications: 13

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

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.