Simon Le Blond

38 papers receiving 949 citations

Peers

Simon Le Blond
Comparison fields: 5 of 59
  • Electrical and Electronic Engineering 885
  • Control and Systems Engineering 521
  • Energy Engineering and Power Technology 123
  • Automotive Engineering 109
  • Renewable Energy, Sustainability and the Environment 46
Replace S. Masoud Barakati with:
S. Masoud Barakati Iran
Rongwu Zhu Germany
Sanjay K. Chaudhary Denmark
Anawach Sangswang Thailand
Héctor Beltrán Spain
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Ionel Vechiu France
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Simon Le Blond relative to S. Masoud Barakati Iran S. Masoud Barakati's profile →
Citations per field
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Countries citing papers authored by Simon Le Blond

Since Specialization
Citations

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

Fields of papers citing papers by Simon Le Blond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Le Blond. 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 Simon Le Blond. The network helps show where Simon Le Blond may publish in the future.

Co-authorship network of co-authors of Simon Le Blond

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Le Blond. A scholar is included among the top collaborators of Simon Le Blond based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Simon Le Blond. Simon Le Blond is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 92
4 10
5 12
6 17
7 40
8 13
9 8
10 57
11 65
12 76
13 2
14 5
15 7
16 13
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18
A review of artificial intelligence techniques as applied to adaptive autoreclosure, with particular reference to deployment with wind generation
3
19
Impact of wind farms on electromagnetic transients in 132kV network, with particular reference to fault detection
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20 3

About Simon Le Blond

Simon Le Blond is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 39 papers that have together received 984 indexed citations. Recurring topics across this work include HVDC Systems and Fault Protection (11 papers), Smart Grid Energy Management (10 papers) and Integrated Energy Systems Optimization (9 papers). The work is most often cited by research in Energy Engineering and Power Technology (123 citations), Control and Systems Engineering (521 citations) and Electrical and Electronic Engineering (885 citations). Simon Le Blond has collaborated with scholars based in United Kingdom, China and Brazil. Frequent co-authors include Jianwei Li, Qingqing Yang, Chenghong Gu, Denis V. Coury, Raj Aggarwal, Da Huo, Dongmin Yu, Weijia Yuan, Min Zhang and Yawei Wang. Their work appears in journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Industrial Electronics 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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