D-Index & Metrics Best Publications
Geert Deconinck

Geert Deconinck

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
Engineering and Technology D-index 38 Citations 6,722 389 World Ranking 2889 National Ranking 42

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Electrical engineering

Geert Deconinck spends much of his time researching Distributed computing, Optics, Automotive engineering, Mathematical optimization and Demand response. His Distributed computing study combines topics from a wide range of disciplines, such as SIGNAL, Electricity, Schedule, Plug-in and Control. His work on Integrating sphere, Scattering and Luminescence as part of his general Optics study is frequently connected to Color space and Experimental data, thereby bridging the divide between different branches of science.

His work carried out in the field of Automotive engineering brings together such families of science as Scalability, Stand-alone power system, Heuristic and Flexibility. Geert Deconinck has researched Scalability in several fields, including Smart grid and Job shop scheduling. His Demand response research incorporates themes from Power engineering, Power consumption and Energy conservation.

His most cited work include:

  • A Scalable Three-Step Approach for Demand Side Management of Plug-in Hybrid Vehicles (176 citations)
  • Demand response flexibility and flexibility potential of residential smart appliances: Experiences from large pilot test in Belgium (170 citations)
  • Control of Microgrids (138 citations)

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

His primary areas of study are Distributed computing, Fault tolerance, Embedded system, Smart grid and Flexibility. His Distributed computing research is multidisciplinary, incorporating elements of Distributed generation, Scalability, Control reconfiguration, Control and Dependability. His Fault tolerance research includes elements of Software and Supercomputer, Parallel computing.

In most of his Smart grid studies, his work intersects topics such as Demand response.

He most often published in these fields:

  • Distributed computing (18.23%)
  • Fault tolerance (10.22%)
  • Embedded system (8.69%)

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

  • Flexibility (7.67%)
  • Electric power system (6.64%)
  • Demand response (5.11%)

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

The scientist’s investigation covers issues in Flexibility, Electric power system, Demand response, Mathematical optimization and Smart grid. His Flexibility study incorporates themes from Control, Automotive engineering, Simulation, Renewable energy and Reinforcement learning. His work in Renewable energy covers topics such as Wind power which are related to areas like Scalability.

He usually deals with Mathematical optimization and limits it to topics linked to Production and Photovoltaic system. The Smart grid study combines topics in areas such as Load management, Distributed generation and Distributed computing. Distributed computing and AC power are commonly linked in his work.

Between 2014 and 2021, his most popular works were:

  • Demand response flexibility and flexibility potential of residential smart appliances: Experiences from large pilot test in Belgium (170 citations)
  • Matching EV Charging Load With Uncertain Wind: A Simulation-Based Policy Improvement Approach (80 citations)
  • Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market (80 citations)

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

  • Operating system
  • Artificial intelligence
  • Electrical engineering

His scientific interests lie mostly in Electric power system, Flexibility, Distributed generation, Renewable energy and Demand response. His Electric power system research incorporates elements of Electricity generation, Context, Reliability engineering and Risk analysis. As part of the same scientific family, Geert Deconinck usually focuses on Flexibility, concentrating on Simulation and intersecting with Automotive engineering, Power consumption and Elasticity.

His work carried out in the field of Distributed generation brings together such families of science as Distribution networks, Distributed computing and Smart grid. Particularly relevant to Peer-to-peer is his body of work in Distributed computing. His Renewable energy study integrates concerns from other disciplines, such as Wind power, Scalability, Natural resource economics, Investment and Evolutionary game 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 Microgrids

K. De Brabandere;K. Vanthournout;J. Driesen;G. Deconinck.
2007 IEEE Power Engineering Society General Meeting (2007)

258 Citations

Demand response flexibility and flexibility potential of residential smart appliances: Experiences from large pilot test in Belgium

Reinhilde D'hulst;Wouter Labeeuw;Bart Beusen;Sven Claessens.
Applied Energy (2015)

250 Citations

A Scalable Three-Step Approach for Demand Side Management of Plug-in Hybrid Vehicles

S. Vandael;B. Claessens;M. Hommelberg;T. Holvoet.
IEEE Transactions on Smart Grid (2013)

231 Citations

Review: Analyzing well-known countermeasures against distributed denial of service attacks

Hakem Beitollahi;Geert Deconinck.
Computer Communications (2012)

155 Citations

Distributed control of renewable generation units with integrated active filter

K.J.P. Macken;K. Vanthournout;J. Van den Keybus;G. Deconinck.
IEEE Transactions on Power Electronics (2004)

153 Citations

High power light-emitting diode junction temperature determination from current-voltage characteristics

Arno Keppens;Wouter Ryckaert;Geert Deconinck;Peter Hanselaer.
Journal of Applied Physics (2008)

148 Citations

Protection of microgrids with a high penetration of inverter-coupled energy sources

Tom Loix;Thomas Wijnhoven;Geert Deconinck.
2009 CIGRE/IEEE PES Joint Symposium Integration of Wide-Scale Renewable Resources Into the Power Delivery System (2009)

139 Citations

Memory colours and colour quality evaluation of conventional and solid-state lamps

Kevin A. G. Smet;Wouter R. Ryckaert;Michael R. Pointer;Geert Deconinck.
Optics Express (2010)

137 Citations

Reconfigurable instruction set processors from a hardware/software perspective

F. Barat;R. Lauwereins;G. Deconinck.
IEEE Transactions on Software Engineering (2002)

132 Citations

Correlation between color quality metric predictions and visual appreciation of light sources

Kevin Smet;Wouter R. Ryckaert;Michael R. Pointer;Geert Deconinck.
Optics Express (2011)

129 Citations

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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.

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