Jonathan Sprooten

461 citations
34 papers · 221 · h-index 8

Impact in

Papers in

Jonathan Sprooten

31 papers receiving 206 citations

Peers

Jonathan Sprooten
Comparison fields: 5 of 32
  • Energy Engineering and Power Technology 33
  • Control and Systems Engineering 116
  • Electrical and Electronic Engineering 158
  • Safety, Risk, Reliability and Quality 23
  • Automotive Engineering 24
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Citations per year

Countries citing papers authored by Jonathan Sprooten

Since Specialization
Citations

This map shows the geographic impact of Jonathan Sprooten's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan Sprooten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Sprooten more than expected).

Fields of papers citing papers by Jonathan Sprooten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Sprooten. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan Sprooten. The network helps show where Jonathan Sprooten may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Sprooten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Sprooten Line = papers co-authored together Jonathan Sprooten links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201047
2 200935
3 202125
4 201413
5 201011
6 201111
7 20109
8 20087
9 20136
10 20056
11 20105
12
Reliability evaluation of power system with large-scale wind farm integration using first-order reliability method
20114
13
Finite element and electrical circuit modelling of faulty induction machines: Study of internal effects and fault detection techniques
20074
14 20194
15 20104
16
Induction machine fault detection and quantification by means of superposed analytical models
20043
17
A global supervision for wind/hydro power plant and storage system connected to AC grid
20093
18 20183
19 20053
20
Multi-slice finite element modelling of induction motors considering broken bars and inter-bar currents
20052

About Jonathan Sprooten

Jonathan Sprooten is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Mechanical Engineering and Electronic, Optical and Magnetic Materials, having authored 34 papers that have together received 221 indexed citations. Recurring topics across this work include Electric Power System Optimization (10 papers), Microgrid Control and Optimization (8 papers), Power System Reliability and Maintenance (8 papers), Machine Fault Diagnosis Techniques (7 papers), Non-Destructive Testing Techniques (5 papers), Magnetic Properties and Applications (5 papers), Optimal Power Flow Distribution (5 papers) and Electric Motor Design and Analysis (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (33 citations), Control and Systems Engineering (116 citations), Electrical and Electronic Engineering (158 citations), Safety, Risk, Reliability and Quality (23 citations) and Automotive Engineering (24 citations). Jonathan Sprooten has collaborated with scholars based in Belgium, France and Norway. Frequent co-authors include Benoît Robyns, Jean‐Claude Maun, Jacques Deuse, Vincent Courtecuisse, Marc Petit, Bruno François, Jean‐François Toubeau, Johan Gyselinck, Zacharie De Grève and François Vallée. Their work appears in journals such as Electric Power Systems Research, EPE Journal, IEEE Transactions on Energy Conversion, Mathematics and Computers in Simulation and Energy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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