Fernando Bento

512 citations
38 papers · 335 · h-index 10

Impact in

Papers in

Fernando Bento

37 papers receiving 323 citations

Peers

Fernando Bento
Comparison fields: 5 of 38
  • Automotive Engineering 78
  • Control and Systems Engineering 119
  • Electrical and Electronic Engineering 285
  • Energy Engineering and Power Technology 10
  • Mechanical Engineering 45
Replace Mohamed Halick Mohamed Sathik with:
Mohamed Halick Mohamed Sathik Singapore
Yao Zhao China
Vivek Raveendran Germany
Arnaldo J. Perin Brazil
Chen Yao China
Jinming Zhang China
Ahmed Abuelnaga Canada
Ionut Trintis Denmark
Jun Fu China
Fernando Bento relative to Mohamed Halick Mohamed Sathik Singapore Mohamed Halick Mohamed Sathik's profile →
Citations per field
00.5×3.3×
Mohamed Halick Mohamed Sathik · 1×
Citations per year

Countries citing papers authored by Fernando Bento

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Bento

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Fernando Bento, 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 Fernando Bento Line = papers co-authored together Fernando Bento links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201855
2 201953
3 201720
4 202319
5 202219
6 202318
7 201916
8 202015
9 201715
10 201714
11 20219
12 20229
13 20228
14 20216
15 20236
16 20225
17 20235
18 20215
19 20234
20 20194

About Fernando Bento

Fernando Bento is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Mechanical Engineering and Condensed Matter Physics, having authored 38 papers that have together received 335 indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (20 papers), Advanced DC-DC Converters (16 papers), Silicon Carbide Semiconductor Technologies (13 papers), Advanced Battery Technologies Research (8 papers), Microgrid Control and Optimization (6 papers), Electric Motor Design and Analysis (6 papers), HVDC Systems and Fault Protection (5 papers) and Sensorless Control of Electric Motors (5 papers). The work is most often cited by research in Automotive Engineering (78 citations), Control and Systems Engineering (119 citations), Electrical and Electronic Engineering (285 citations), Energy Engineering and Power Technology (10 citations) and Mechanical Engineering (45 citations). Fernando Bento has collaborated with scholars based in Portugal, Algeria and United Kingdom. Frequent co-authors include António J. Marques Cardoso, Khaled Laadjal, Mohamed Sahraoui, D. S. B. Fonseca, Imed Jlassi, Jorge O. Estima and Konstantinos N. Gyftakis. Their work appears in journals such as Electronics, IEEE Transactions on Industry Applications, Chinese Journal of Electrical Engineering, IEEE Journal of Emerging and Selected Topics in Power Electronics and IET Electric Power Applications.

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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