J. Bowles

695 citations
23 papers · 522 · h-index 13

Impact in

Papers in

J. Bowles

21 papers receiving 470 citations

Peers

J. Bowles
Comparison fields: 5 of 79
  • Statistics, Probability and Uncertainty 87
  • Safety, Risk, Reliability and Quality 74
  • Control and Systems Engineering 185
  • Medical Laboratory Technology 10
  • Electrical and Electronic Engineering 266
Replace Sílvio Ikuyo Nabeta with:
Sílvio Ikuyo Nabeta Brazil
Takehisa Kohda Japan
Patrik Hilber Sweden
R. Filippini Italy
Yuko Miyamoto Japan
Ming‐Yi You China
Ali A. Razi‐Kazemi Iran
Farzaneh Ahmadzadeh Sweden
Robert Arno United States
Haitao Guo China
J. Bowles relative to Sílvio Ikuyo Nabeta Brazil Sílvio Ikuyo Nabeta's profile →
Citations per field
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Sílvio Ikuyo Nabeta · 1×
Citations per year

Countries citing papers authored by J. Bowles

Since Specialization
Citations

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

Fields of papers citing papers by J. Bowles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004162
2 200078
3 199551
4 198131
5 197425
6 198524
7 199019
8 197019
9 198117
10 198417
11 197517
12 198116
13 200214
14 199611
15 19955
16 20074
17
Direct connection of generators to hvdc converters: main characteristics and comparative advantages
19933
18 20113
19 20062
20 20012

About J. Bowles

J. Bowles is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computer Networks and Communications, Biomedical Engineering and Sociology and Political Science, having authored 23 papers that have together received 522 indexed citations. Recurring topics across this work include HVDC Systems and Fault Protection (10 papers), High-Voltage Power Transmission Systems (7 papers), Sensor Technology and Measurement Systems (3 papers), Power Systems and Renewable Energy (2 papers), Thermal Analysis in Power Transmission (2 papers), Fault Detection and Control Systems (2 papers), Analog and Mixed-Signal Circuit Design (2 papers) and Analytical Chemistry and Sensors (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (87 citations), Safety, Risk, Reliability and Quality (74 citations), Control and Systems Engineering (185 citations), Medical Laboratory Technology (10 citations) and Electrical and Electronic Engineering (266 citations). J. Bowles has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Manus Henry, D.W. Clarke, Nicholas Archer, James H. Vignos, Martin J. Leahy, Marcio Szechtman, J. Reeve, Andrew Turner, Jean Lemay and R.W. Menzies. Their work appears in journals such as Control Engineering Practice, IEEE Transactions on Power Delivery, American Art, Art Journal and Computing & Control Engineering Journal.

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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