Mateo Bašić

493 citations
49 papers · 396 · h-index 12

Impact in

Papers in

Mateo Bašić

47 papers receiving 382 citations

Peers

Mateo Bašić
Comparison fields: 5 of 32
  • Control and Systems Engineering 184
  • Energy Engineering and Power Technology 20
  • Electrical and Electronic Engineering 325
  • Renewable Energy, Sustainability and the Environment 44
  • Automotive Engineering 28
Replace Dinko Vukadinović with:
Dinko Vukadinović Croatia
E.P. Nowicki Canada
José Roberto Boffino de Almeida Monteiro Brazil
Kongpan Areerak Thailand
Beşir Dandıl Türkiye
Mustafa Şekkeli Türkiye
Hani Albalawi Saudi Arabia
Said Mahfoud Morocco
Marcel Nicola Romania
Ravinder Kumar India
Mateo Bašić relative to Dinko Vukadinović Croatia Dinko Vukadinović's profile →
Citations per field
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Dinko Vukadinović · 1×
Citations per year

Countries citing papers authored by Mateo Bašić

Since Specialization
Citations

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

Fields of papers citing papers by Mateo Bašić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Mateo Bašić, 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 Mateo Bašić Line = papers co-authored together Mateo Bašić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201437
2 201230
3 201724
4 201920
5 201319
6 201918
7 201518
8 201918
9 200915
10 202213
11 201913
12 202012
13 202011
14 201910
15
Novel dynamic model of self-excited induction generator with iron losses
20109
16 20189
17
Fuzzy DC-Voltage Controller for a Vector Controlled Stand-Alone Induction Generator
20138
18 20238
19 20117
20
Wind turbine-driven self-excited induction generator: A novel dynamic model including stray load and iron losses
20177

About Mateo Bašić

Mateo Bašić is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Mechanical Engineering and Aerospace Engineering, having authored 49 papers that have together received 396 indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (23 papers), Microgrid Control and Optimization (20 papers), Electric Motor Design and Analysis (19 papers), Wind Turbine Control Systems (18 papers), Sensorless Control of Electric Motors (11 papers), Advanced DC-DC Converters (7 papers), Silicon Carbide Semiconductor Technologies (7 papers) and Photovoltaic System Optimization Techniques (6 papers). The work is most often cited by research in Control and Systems Engineering (184 citations), Energy Engineering and Power Technology (20 citations), Electrical and Electronic Engineering (325 citations), Renewable Energy, Sustainability and the Environment (44 citations) and Automotive Engineering (28 citations). Mateo Bašić has collaborated with scholars based in Croatia, Vietnam and Serbia. Frequent co-authors include Dinko Vukadinović, Nguyễn Cát Hồ, Goran Petrović, Stevan Grabić and Milan R. Rapaić. Their work appears in journals such as Energies, IEEE Transactions on Energy Conversion, Control Engineering Practice, Journal of Cleaner Production and Electronics.

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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