S.A. Long

537 citations
20 papers · 439 · h-index 11

Impact in

Papers in

S.A. Long

20 papers receiving 420 citations

Peers

S.A. Long
Comparison fields: 5 of 33
  • Control and Systems Engineering 314
  • Electronic, Optical and Magnetic Materials 148
  • Electrical and Electronic Engineering 394
  • Energy Engineering and Power Technology 18
  • Automotive Engineering 28
Replace D.V. Nicolae with:
D.V. Nicolae South Africa
Alejandro Pina Ortega United States
Dong-Seok Hyun South Korea
Thomas Bäuml Austria
Duco W. J. Pulle Australia
Kamal Al Haddad Canada
Piotr Gnaciński Poland
Darko Marčetić Serbia
F. Fernandez‐Bernal Spain
S.A. Long relative to D.V. Nicolae South Africa D.V. Nicolae's profile →
Citations per field
00.5×1.6×
D.V. Nicolae · 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 20 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

20 of 20 papers shown
#Work
1 200969
2 200167
3 200655
4 201848
5 200538
6 200631
7 200330
8 202121
9 200513
10 200811
11
Ultra-compact Intelligent Electrical Networks
200811
12 20069
13 20177
14 20027
15 20086
16 20085
17
Significance of vibration modes in noise and vibration generation of switched reluctance motors
20034
18 20053
19 20183
20 20181

About S.A. Long

S.A. Long is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Electronic, Optical and Magnetic Materials and Computer Networks and Communications, having authored 20 papers that have together received 439 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (11 papers), Magnetic Bearings and Levitation Dynamics (9 papers), Magnetic Properties and Applications (5 papers), Integrated Energy Systems Optimization (4 papers), Electric and Hybrid Vehicle Technologies (4 papers), Microgrid Control and Optimization (3 papers), Smart Grid Energy Management (2 papers) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Control and Systems Engineering (314 citations), Electronic, Optical and Magnetic Materials (148 citations), Electrical and Electronic Engineering (394 citations), Energy Engineering and Power Technology (18 citations) and Automotive Engineering (28 citations). S.A. Long has collaborated with scholars based in United Kingdom. Frequent co-authors include D. Howe, N. Schofield, Z. Q. Zhu, Alessandra Parisio, Ognjen Marjanović, Jiabin Wang, Andrew J. Forsyth, Michael Taylor, R. Todd and D.R. Trainer. Their work appears in journals such as IEEE Transactions on Energy Conversion, SAE technical papers on CD-ROM/SAE technical paper series, IEEE Transactions on Vehicular Technology, Journal of Applied Physics and Applied 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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