Matej Krpan

532 citations
31 papers · 345 indexed · h-index 9

Matej Krpan

30 papers receiving 323 citations

Peers

Matej Krpan
Comparison fields: 5 of 35
  • Energy Engineering and Power Technology 55
  • Control and Systems Engineering 220
  • Electrical and Electronic Engineering 280
  • Automotive Engineering 35
  • Electronic, Optical and Magnetic Materials 25
Replace Yushu Sun with:
Yushu Sun China
Fangang Meng China
Zhenxing Li China
Qiang Gao China
Steve Glover United States
Yu Zeng Singapore
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Matej Krpan relative to Yushu Sun China Yushu Sun's profile →
Citations per field
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Citations per year

Countries citing papers authored by Matej Krpan

Since Specialization
Citations

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

Fields of papers citing papers by Matej Krpan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Matej Krpan, 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 Matej Krpan Line = papers co-authored together Matej Krpan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20247
3 20237
4 20231
5 20232
6 20227
7 20223
8 202128
9 202119
10 20216
11 20206
12 202029
13 20208
14 201955
15 20194
16 20185
17 20183
18 201846
19 201713
20 20177

About Matej Krpan

Matej Krpan is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering, Electrical and Electronic Engineering, Automotive Engineering and Electronic, Optical and Magnetic Materials, having authored 31 papers that have together received 345 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (20 papers), Wind Turbine Control Systems (9 papers), Frequency Control in Power Systems (8 papers), Smart Grid Energy Management (6 papers), Electric and Hybrid Vehicle Technologies (4 papers), Power System Optimization and Stability (4 papers), Supercapacitor Materials and Fabrication (4 papers) and HVDC Systems and Fault Protection (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (55 citations), Control and Systems Engineering (220 citations), Electrical and Electronic Engineering (280 citations), Automotive Engineering (35 citations) and Electronic, Optical and Magnetic Materials (25 citations). Matej Krpan has collaborated with scholars based in Croatia, United Kingdom and China. Frequent co-authors include Igor Kuzle, Tomislav Capuder, Ninoslav Holjevac, Ana Radovanović, Jovica V. Milanović, Hrvoje Pandžić, Alessandra Parisio, Ivan Pavić, Xiao Wang and Yang Liu. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, IEEE Transactions on Power Systems, Energies, IET Renewable Power Generation and IEEE Access.

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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