D. Koval

665 citations
28 papers · 535 · h-index 11

Impact in

Papers in

D. Koval

27 papers receiving 491 citations

Peers

D. Koval
Comparison fields: 5 of 59
  • Safety, Risk, Reliability and Quality 177
  • Control and Systems Engineering 201
  • Electrical and Electronic Engineering 390
  • Astronomy and Astrophysics 74
  • Automotive Engineering 39
Replace Mark Halpin with:
Mark Halpin United States
M. A. El-Kady Canada
Paulo Márcio da Silveira Brazil
Sjef Cobben Netherlands
Víctor Leví United Kingdom
Sean Elphick Australia
Stefano Quaia Italy
A. Mansoor United States
Charles J. Mozina United States
Alexandre B. Nassif Canada
D. Koval relative to Mark Halpin United States Mark Halpin's profile →
Citations per field
00.5×1.5×2.3×
Mark Halpin · 1×
Citations per year

Countries citing papers authored by D. Koval

Since Specialization
Citations

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

Fields of papers citing papers by D. Koval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. 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 D. Koval Line = papers co-authored together D. 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
2009105
2 199484
3 199380
4 200464
5 197033
6 201022
7 200222
8 201017
9 200316
10 197913
11 201012
12 20099
13 20029
14 20029
15 20028
16 20096
17 20096
18 19995
19 20253
20 20022

About D. Koval

D. Koval is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Aerospace Engineering and Automotive Engineering, having authored 28 papers that have together received 535 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), Electrical Fault Detection and Protection (3 papers), Multilevel Inverters and Converters (3 papers) and Aerodynamics and Fluid Dynamics Research (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (177 citations), Control and Systems Engineering (201 citations), Electrical and Electronic Engineering (390 citations), Astronomy and Astrophysics (74 citations) and Automotive Engineering (39 citations). D. Koval has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Ali A. Chowdhury, R. Billinton, John Salmon, Wilsun Xu, Benjamin T. Hazen, Chandler A. Becker, D. Mueller, C. Grigg, L.E. Conrad and Jana Heckenbergerová. Their work appears in journals such as Physical review. D, IEEE Transactions on Industry Applications, IEEE Industry Applications Magazine, 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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