S.A. Long

542 citations
19 papers · 492 · h-index 11

Impact in

Papers in

S.A. Long

19 papers receiving 474 citations

Peers

S.A. Long
Comparison fields: 5 of 15
  • Electrical and Electronic Engineering 460
  • Control and Systems Engineering 41
  • Energy Engineering and Power Technology 3
  • Automotive Engineering 10
  • Electronic, Optical and Magnetic Materials 8
Replace E. Richter with:
E. Richter United States
Jason D. Ede United Kingdom
Mauro Di Nardo United Kingdom
Ahmed Al-Timimy United Kingdom
Michelle L. Bash United States
Ehab Sayed Canada
Zhenyang Hao China
Dheeraj Bobba United States
Mohamed Abdalmagid Canada
S.A. Long relative to E. Richter United States E. Richter's profile →
Citations per field
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E. Richter · 1×
Citations per year

Countries citing papers authored by S.A. Long

Since Specialization
Citations

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

Fields of papers citing papers by S.A. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.A. Long. 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 S.A. Long. The network helps show where S.A. Long may publish in the future.

Co-authors

The 17 scholars most cited alongside S.A. Long, 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 S.A. Long Line = papers co-authored together S.A. Long links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 200985
2 200973
3 200168
4 200656
5 200540
6 200640
7 200330
8 200630
9 200513
10
Ultra-compact Intelligent Electrical Networks
200811
11 200811
12 20069
13 20027
14 20086
15 20085
16
Significance of vibration modes in noise and vibration generation of switched reluctance motors
20033
17 20053
18 20051
19 20141

About S.A. Long

S.A. Long is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Mechanical Engineering and Nuclear Energy and Engineering, having authored 19 papers that have together received 492 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (14 papers), Electric Power Systems and Control (5 papers), Multilevel Inverters and Converters (2 papers), Real-time simulation and control systems (2 papers), Microgrid Control and Optimization (2 papers), Electric and Hybrid Vehicle Technologies (2 papers), Advanced DC-DC Converters (2 papers) and Advanced Thermodynamic Systems and Engines (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (460 citations), Control and Systems Engineering (41 citations), Energy Engineering and Power Technology (3 citations), Automotive Engineering (10 citations) and Electronic, Optical and Magnetic Materials (8 citations). S.A. Long has collaborated with scholars based in United Kingdom. Frequent co-authors include David Howe, N. Schofield, Z. Q. Zhu, Jiabin Wang, Andrew John Forsyth, Rebecca Todd, David R. Trainer, Javier Chivite-Zabalza, Alexander Charles Smith and Andrew M. Cross. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Energy Conversion, Journal of Applied Physics, IEEE Transactions on Industry Applications and SAE technical papers on CD-ROM/SAE technical paper series.

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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