Diego Mascarella

611 citations
23 papers · 503 · h-index 13

Impact in

Papers in

Diego Mascarella

22 papers receiving 489 citations

Peers

Diego Mascarella
Comparison fields: 5 of 25
  • Control and Systems Engineering 224
  • Automotive Engineering 99
  • Electrical and Electronic Engineering 437
  • Energy Engineering and Power Technology 14
  • Computer Networks and Communications 49
Replace Won-Sang Im with:
Won-Sang Im South Korea
Ali Mazloomzadeh United States
Boumediène Allaoua Algeria
Nabil Taib Algeria
Haocheng Luo China
Petros Missailidis United Kingdom
E.C.W. de Jong Netherlands
Junwei Liu Hong Kong
Cătălin Gavriluţă Spain
Diego Mascarella relative to Won-Sang Im South Korea Won-Sang Im's profile →
Citations per field
00.5×1.5×2.2×
Won-Sang Im · 1×
Citations per year

Countries citing papers authored by Diego Mascarella

Since Specialization
Citations

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

Fields of papers citing papers by Diego Mascarella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Diego Mascarella, 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 Diego Mascarella Line = papers co-authored together Diego Mascarella 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 201796
2 201694
3 201848
4 201745
5 201624
6 201722
7 201520
8 201419
9 201519
10 201719
11 201518
12 201515
13 201712
14 20138
15 20147
16 20157
17 20157
18 20146
19 20156
20 20165

About Diego Mascarella

Diego Mascarella is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Mechanical Engineering and Aerospace Engineering, having authored 23 papers that have together received 503 indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (13 papers), Advanced DC-DC Converters (10 papers), Microgrid Control and Optimization (9 papers), Electric Motor Design and Analysis (5 papers), Advanced Battery Technologies Research (5 papers), Silicon Carbide Semiconductor Technologies (5 papers), Wind Turbine Control Systems (3 papers) and Smart Grid Energy Management (3 papers). The work is most often cited by research in Control and Systems Engineering (224 citations), Automotive Engineering (99 citations), Electrical and Electronic Engineering (437 citations), Energy Engineering and Power Technology (14 citations) and Computer Networks and Communications (49 citations). Diego Mascarella has collaborated with scholars based in Canada. Frequent co-authors include G. Joós, Syed Qaseem Ali, Marthe Kassouf, Jianhong Xu, Longcheng Tan, Gerry Moschopoulos, Benoît Boulet and Quanrui Hao. Their work appears in journals such as IEEE Journal of Emerging and Selected Topics in Power Electronics, IEEE Transactions on Transportation Electrification, IET Electric Power Applications, IEEE Transactions on Power Delivery and IEEE Transactions on Smart Grid.

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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