World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
51
Citations
8808
World Ranking
2705
National Ranking
147

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Artificial intelligence
  • Database

His scientific interests lie mostly in Electric power system, Control engineering, Distributed generation, Multi-agent system and Decision support system. His studies in Electric power system integrate themes in fields like Electric power industry, Genetic algorithm, Mathematical optimization, Systems engineering and Intelligent Network. The concepts of his Control engineering study are interwoven with issues in Control theory, Rectifier and Marine propulsion, Propulsion, Electrically powered spacecraft propulsion.

His Distributed generation research is multidisciplinary, incorporating elements of Distribution networks, Electricity and Operations research. James R. McDonald interconnects Intelligent decision support system, SCADA, Systems architecture and Knowledge-based systems in the investigation of issues within Multi-agent system. The Decision support system study combines topics in areas such as Maintenance engineering and Condition monitoring.

His most cited work include:

  • An integrated SOFC plant dynamic model for power systems simulation (486 citations)
  • Modular multilevel inverter: Pulse width modulation and capacitor balancing technique (201 citations)
  • Dynamic model of a lead acid battery for use in a domestic fuel cell system (185 citations)

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

Electric power system, Systems engineering, Control engineering, Reliability engineering and Distributed generation are his primary areas of study. His research integrates issues of Intelligent decision support system, Decision support system and Mathematical optimization in his study of Electric power system. The various areas that James R. McDonald examines in his Intelligent decision support system study include Intelligent agent, Multi-agent system, Case-based reasoning and Knowledge-based systems.

James R. McDonald has researched Systems engineering in several fields, including Propulsion, Electrically powered spacecraft propulsion and Model-based reasoning. The study incorporates disciplines such as Fault, Electronic engineering, Condition monitoring and Operations research in addition to Reliability engineering. His study looks at the intersection of Distributed generation and topics like Electricity generation with Electricity.

He most often published in these fields:

  • Electric power system (23.30%)
  • Systems engineering (15.34%)
  • Control engineering (14.20%)

What were the highlights of his more recent work (between 2007-2021)?

  • Electronic engineering (10.51%)
  • Control engineering (14.20%)
  • Electric power system (23.30%)

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

James R. McDonald mainly investigates Electronic engineering, Control engineering, Electric power system, Electrical engineering and Distributed generation. His study on Electronic engineering also encompasses disciplines like

  • Distribution networks and related Control theory,
  • Converters, which have a strong connection to Reliability. His Control engineering research is multidisciplinary, incorporating perspectives in Network Access Protection, Software deployment and Induction generator.

His research on Electric power system also deals with topics like

  • Systems engineering which intersects with area such as Power-system protection,
  • Electrically powered spacecraft propulsion, which have a strong connection to Survivability. His studies deal with areas such as Electricity generation, Fault, Control and Operations research as well as Distributed generation. As part of the same scientific family, James R. McDonald usually focuses on Electricity generation, concentrating on Electricity and intersecting with Power engineering, Engineering management and Renewable energy.

Between 2007 and 2021, his most popular works were:

  • Modular multilevel inverter: Pulse width modulation and capacitor balancing technique (201 citations)
  • Adaptive intelligent power systems: Active distribution networks☆ (125 citations)
  • Propulsion Drive Models for Full Electric Marine Propulsion Systems (77 citations)

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

  • Electrical engineering
  • Artificial intelligence
  • Database

His primary areas of investigation include Electronic engineering, Control engineering, Active Network Management, Electricity generation and Electric power system. His Electronic engineering study combines topics from a wide range of disciplines, such as Power electronics, Electrical engineering, AC power and Inverter. His Control engineering research incorporates elements of Propeller and Marine propulsion.

His Active Network Management research includes elements of Network management station, Systems engineering, Network simulation, Multi-agent system and Case-based reasoning. His Electricity generation study integrates concerns from other disciplines, such as Operations research, Reliability engineering and Market clearing. His study in Electric power system is interdisciplinary in nature, drawing from both Propulsion, Electrically powered spacecraft propulsion, Rectifier, Electrical network and Intelligent Network.

Best Publications

  • An integrated SOFC plant dynamic model for power systems simulation

    Joel Padulles;Graham Ault;J.R. Mcdonald

  • Dynamic model of a lead acid battery for use in a domestic fuel cell system

    Matthias Dürr;Andrew Cruden;Sinclair Gair;J.R. McDonald

  • Modular multilevel inverter: Pulse width modulation and capacitor balancing technique

    Grain Philip Adam;O. Anaya-Lara;G.M. Burt;D. Telford

  • Applying multi-agent system technology in practice: automated management and analysis of SCADA and digital fault recorder data

    E.M. Davidson;S.D.J. McArthur;J.R. McDonald;T. Cumming

  • Adaptive intelligent power systems: Active distribution networks☆

    Jim McDonald

  • Electrical collector system options for large offshore wind farms

    G. Quinonez-Varela;G.W. Ault;O. Anaya-Lara;J.R. McDonald

  • A multiagent architecture for protection engineering diagnostic assistance

    J.A. Hossack;J. Menal;S.D.J. McArthur;J.R. McDonald

  • Propulsion Drive Models for Full Electric Marine Propulsion Systems

    J.M. Apsley;A. Gonzalez-Villasenor;M. Barnes;A.C. Smith

  • Automating power system fault diagnosis through multi-agent system technology

    S.D.J. McArthur;E.M. Davidson;J.A. Hossack;J.R. McDonald

  • Dynamics of distribution networks with distributed generation

    F.V. Edwards;G.J.W. Dudgeon;J.R. McDonald;W.E. Leithead

  • The Effective Role of AVR and PSS in Power Systems: Frequency Response Analysis

    G.J.W. Dudgeon;W.E. Leithead;A. Dysko;J. O'Reilly

  • The use of artificial neural networks for condition monitoring of electrical power transformers

    Campbell Booth;Jim R. McDonald

  • A Fiber-Bragg-Grating-Based Sensor for Simultaneous AC Current and Temperature Measurement

    D. Reilly;A.J. Willshire;G. Fusiek;P. Niewczas

  • Architecture of a Network-in-the-Loop Environment for Characterizing AC Power-System Behavior

    A.J. Roscoe;A. Mackay;G.M. Burt;J.R. McDonald

  • Planning for distributed generation within distribution networks in restructured electricity markets

    G.W. Ault;J.R. McDonald

  • Translating CIM XML power system data to a proprietary format for system simulation

    A.W. McMorran;G.W. Ault;I.M. Elders;C.E.T. Foote

  • Active power-flow management utilising operating margins for the increased connection of distributed generation

    R.A.F. Currie;G.W. Ault;C.E.T. Foote;J.R. McDonald

  • Analysis of Transient Stability Enhancement of LV-Connected Induction Microgenerators by Using Resistive-Type Fault Current Limiters

    Abdullah Swissi Emhemed;Ryan M Tumilty;Nand K Singh;Graeme M Burt

  • Intelligent condition monitoring and asset management. Partial discharge monitoring for power transformers

    M.D. Judd;S.D.J. McArthur;J.R. McDonald;O. Farish

  • Generator maintenance scheduling using a genetic algorithm

    K. P. Dahal;C. J. Aldridge;J. R. McDonald

Frequent Co-Authors

Graeme Burt
Graeme Burt University of Strathclyde
Graham Ault
Graham Ault University of Strathclyde
Stuart Galloway
Stuart Galloway University of Strathclyde
Campbell Booth
Campbell Booth University of Strathclyde
Olimpo Anaya-Lara
Olimpo Anaya-Lara University of Strathclyde
Ivan Andonovic
Ivan Andonovic University of Strathclyde
Mike Barnes
Mike Barnes University of Manchester
Grain Philip Adam
Grain Philip Adam University of Strathclyde
Barry W. Williams
Barry W. Williams University of Strathclyde
John E. Fletcher
John E. Fletcher University of New South Wales

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