Georgios Papafotiou

44 papers receiving 2.2k citations

Hit Papers

Model Predictive Direct Torque Control—Part I: Concept, A...20082026201420202008200400600

Peers

Georgios Papafotiou
Comparison fields: 5 of 47
  • Electrical and Electronic Engineering 2.0k
  • Control and Systems Engineering 1.3k
  • Automotive Engineering 269
  • Mechanical Engineering 103
  • Computational Theory and Mathematics 40
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Citations per year

Countries citing papers authored by Georgios Papafotiou

Since Specialization
Citations

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

Fields of papers citing papers by Georgios Papafotiou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgios Papafotiou

This figure shows the co-authorship network connecting the top 25 collaborators of Georgios Papafotiou. A scholar is included among the top collaborators of Georgios Papafotiou 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 Georgios Papafotiou. Georgios Papafotiou 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
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Model predictive control of the interleaved DC-DC boost converter
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Model predictive control strategies for DC-DC boost voltage conversion
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Model Predictive Direct Torque Control for MV drives with LC filters
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8 4
9 16
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Model Predictive Direct Torque Control—Part I: Concept, Algorithm, and Analysisbreakdown →
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11 107
12 31
13 26
14 32
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calculation and stability Investigation of Periodic Steady State of the Voltage Controlled Buck DC-DC Converter
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18 27
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About Georgios Papafotiou

Georgios Papafotiou is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 47 papers that have together received 2.3k indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (32 papers), Advanced DC-DC Converters (30 papers) and Microgrid Control and Optimization (24 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Electrical and Electronic Engineering (2.0k citations) and Automotive Engineering (269 citations). Georgios Papafotiou has collaborated with scholars based in Switzerland, Greece and New Zealand. Frequent co-authors include Manfred Morari, Tobias Geyer, Konstantinos G. Papadopoulos, Marco Beccuti, Νικόλαος Οικονόμου, Frederick Kieferndorf, Helfried Peyrl, Georgios D. Demetriades, Vassilios G. Agelidis and N. Margaris. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Transactions on Industry 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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