Don Koval

27 papers receiving 505 citations

Peers

Don Koval
Comparison fields: 5 of 59
  • Safety, Risk, Reliability and Quality 177
  • Control and Systems Engineering 208
  • Electrical and Electronic Engineering 400
  • Astronomy and Astrophysics 75
  • Statistics, Probability and Uncertainty 25
Replace Jean‐Claude Maun with:
Jean‐Claude Maun Belgium
Sjef Cobben Netherlands
Stefano Quaia Italy
Charles J. Mozina United States
Alexandre B. Nassif Canada
Mauro Augusto da Rosa Brazil
A. Mansoor United States
Sean Elphick Australia
Omid Alizadeh Mousavi Switzerland
P. Verho Finland
Don Koval relative to Jean‐Claude Maun Belgium Jean‐Claude Maun's profile →
Citations per field
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Citations per year

Countries citing papers authored by Don Koval

Since Specialization
Citations

This map shows the geographic impact of Don Koval'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 Don Koval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Koval more than expected).

Fields of papers citing papers by Don Koval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don Koval. 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 Don Koval. The network helps show where Don Koval may publish in the future.

Co-authors

The 25 scholars most cited alongside Don Koval, 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 Don Koval Line = papers co-authored together Don Koval links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Power Distribution System Reliability: Practical Methods and Applications
2009108
2 199486
3 199381
4 200466
5 197033
6 201024
7 200222
8 201021
9 200315
10 201012
11 197912
12 200910
13 200210
14 20029
15 20028
16 20096
17 19995
18 20095
19 20253
20 20022

About Don Koval

Don Koval is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering, Electrical and Electronic Engineering, Automotive Engineering and Aerospace Engineering, having authored 28 papers that have together received 548 indexed citations. Recurring topics across this work include Power System Reliability and Maintenance (11 papers), Thermal Analysis in Power Transmission (9 papers), Power Quality and Harmonics (8 papers), Power Transformer Diagnostics and Insulation (5 papers), Icing and De-icing Technologies (4 papers), Multilevel Inverters and Converters (3 papers), Electrical Fault Detection and Protection (3 papers) and Vibration and Dynamic Analysis (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (177 citations), Control and Systems Engineering (208 citations), Electrical and Electronic Engineering (400 citations), Astronomy and Astrophysics (75 citations) and Statistics, Probability and Uncertainty (25 citations). Don Koval has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Ali Asraf Chowdhury, Roy Billinton, John Salmon, Wilsun Xu, L.E. Conrad, Chandler A. Becker, C. Grigg, Benjamin Thomas Hazen, Daniel Mueller and Petr Musilek. Their work appears in journals such as Physical review. D, IEEE Industry Applications Magazine, IEEE Transactions on Industry Applications, IEEE Computer Applications in Power and IEEE Transactions on Power Delivery.

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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