World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
44
Citations
9749
World Ranking
3670
National Ranking
119

Matthew R. James 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 Matthew R. James 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: 258 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Matthew R. James 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 Matthew R. James 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: 44 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Matthew R. James is affiliated with the Australian National University in Australia. Their research spans multiple scientific fields, notably Physics and Astronomy, Engineering, and Computer Science. Within these disciplines, they focus on several specialized subfields including Artificial Intelligence, Materials Chemistry, Atomic and Molecular Physics and Optics, Biomedical Engineering, and Physical and Theoretical Chemistry.

The research topics covered by Matthew R. James include Quantum Information and Cryptography, Quantum Mechanics and Applications, Crystallization and Solubility Studies, X-ray Diffraction in Crystallography, Crystallography and Molecular Interactions, 3D Printing in Biomedical Research, and Advanced Thermodynamics and Statistical Mechanics.

Frequent collaborators in their work have been Conrad A. P. Goodwin, Jing Su, Lauren M. Stevens, Frankie D. White, and Nickolas H. Anderson. These coauthors have partnered on multiple projects, reflecting ongoing research relationships.

Publications by Matthew R. James have appeared in a range of scientific venues. The most common publication sources include The Cambridge Structural Database, arXiv (Cornell University), Automatica, Pharmaceutics, and IFAC-PapersOnLine.

Selected recent papers authored or coauthored by Matthew R. James include:

  • Optimal Quantum Control Theory, 2021, Annual Review of Control Robotics and Autonomous Systems
  • Low-Level Determination of Mutagenic Nitrosamine Impurities in Drug Substances by LC-MS/MS, 2021, LCGC Europe
  • Chitosan Scaffolds as Microcarriers for Dynamic Culture of Human Neural Stem Cells, 2023, Pharmaceutics
  • 3D Porous Scaffold-Based High-Throughput Platform for Cancer Drug Screening, 2023, Pharmaceutics
  • Quadratic-exponential functionals of Gaussian quantum processes, 2021, Infinite Dimensional Analysis Quantum Probability and Related Topics

Best Publications

  • An Introduction to Quantum Filtering

    Luc Bouten;Ramon Van Handel;Matthew R. James

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

    J. Gough;M.R. James

  • Control of Linear Quantum Stochastic Systems

    Matthew R. James;Hendra I. Nurdin;Ian R. Petersen

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

    M.R. James;H.I. Nurdin;I.R. Petersen

  • Minimax optimal control of stochastic uncertain systems with relative entropy constraints

    I.R. Petersen;M.R. James;P. Dupuis

  • Coherent quantum LQG control

    Hendra I. Nurdin;Matthew R. James;Ian R. Petersen

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

    M.R. James;J.S. Baras;R.J. Elliott

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

    J. William Helton;Matthew R. James

  • Squeezing Components in Linear Quantum Feedback Networks

    John Edward Gough;Matthew R. James;Hendra I. Nurdin

  • Asymptotic analysis of nonlinear stochastic risk-sensitive control and differential games

    Matthew R. James

  • Network Synthesis of Linear Dynamical Quantum Stochastic Systems

    Hendra I. Nurdin;Matthew R. James;Andrew C. Doherty

  • Robustness and risk-sensitive filtering

    R.K. Boel;M.R. James;I.R. Petersen

  • Direct and Indirect Couplings in Coherent Feedback Control of Linear Quantum Systems

    Guofeng Zhang;M. R. James

  • Quantum Dissipative Systems and Feedback Control Design by Interconnection

    M R James;J E Gough

  • Dynamic observers as asymptotic limits of recursive filters: special cases

    John S. Baras;Alain Bensoussan;Matthew R. James

  • A partial differential inequality for dissipative nonlinear systems

    Matthew R. James

  • Robust H/sub /spl infin// output feedback control for nonlinear systems

    M.R. James;J.S. Baras

  • A Discrete Invitation to Quantum Filtering and Feedback Control

    Luc Bouten;Ramon van Handel;Matthew R. James

  • Risk-sensitive optimal control of quantum systems

    Matthew James

  • Conditions for stability of the extended Kalman filter and their application to the frequency tracking problem

    Barbara F. La Scala;Robert R. Bitmead;Matthew R. James

  • Controlled markov processes and viscosity solutions

    M. R. James

Frequent Co-Authors

Ian R. Petersen
Ian R. Petersen Australian National University
John S. Baras
John S. Baras University of Maryland, College Park
Shoudong Huang
Shoudong Huang University of Technology Sydney
Robert J. Blendon
Robert J. Blendon Harvard University
Robert J. Elliott
Robert J. Elliott University of Calgary
John M. Benson
John M. Benson Harvard University
Dragan Nesic
Dragan Nesic University of Melbourne
Paul Dupuis
Paul Dupuis Brown University
J. William Helton
J. William Helton University of California, San Diego
Miroslav Krstic
Miroslav Krstic University of California, San Diego

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Related Online Degrees & Career Pathways

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Competency-based education is another growing trend, allowing learners to progress by demonstrating skills rather than spending fixed time in class. This approach, highlighted in competency based masters degrees and programs, can accelerate career advancement for those proficient in core engineering concepts.

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