Gregor Papa
Impact in
- Control and Systems Engineering top 10%
- Magnetic Bearings and Levitation Dynamics
Papers in
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- Metaheuristic Optimization Algorithms Research 11
- Evolutionary Algorithms and Applications 9
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- VLSI and FPGA Design Techniques 5
- Electric Motor Design and Analysis 4
- Co-authors
- Jurij Šilc (9 shared papers)Peter Korošec (7 shared papers)Primož Potočnik (1 shared paper)Mario Vražić (1 shared paper)Peter Virtič (1 shared paper)Marina Santo Zarnik (4 shared papers)Tea Tušar (1 shared paper)Jovan Tanevski (1 shared paper)
In The Last Decade
Gregor Papa
70 papers receiving 627 citations
Peers
Comparison fields: 5 of 108
- Industrial and Manufacturing Engineering 64
- Control and Systems Engineering 119
- Management Science and Operations Research 60
- Computational Theory and Mathematics 70
- Artificial Intelligence 140
Countries citing papers authored by Gregor Papa
This map shows the geographic impact of Gregor Papa'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 Gregor Papa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Papa more than expected).
Fields of papers citing papers by Gregor Papa
This network shows the impact of papers produced by Gregor Papa. 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 Gregor Papa. The network helps show where Gregor Papa may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregor Papa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | 2015 | 58 | |
| 3 | 2019 | 39 | |
| 4 | 2006 | 34 | |
| 5 | 2007 | 32 | |
| 6 | 2003 | 25 | |
| 7 | 2022 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2016 | 18 | |
| 10 | 2013 | 17 | |
| 11 | 2021 | 15 | |
| 12 | 2018 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2013 | 14 | |
| 15 | 2008 | 13 | |
| 16 | 2020 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2017 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2010 | 10 |
About Gregor Papa
Gregor Papa is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Computer Networks and Communications and Control and Systems Engineering, having authored 71 papers that have together received 652 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (11 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Evolutionary Algorithms and Applications (9 papers), VLSI and FPGA Design Techniques (5 papers), Electric Motor Design and Analysis (4 papers), VLSI and Analog Circuit Testing (4 papers), Scheduling and Optimization Algorithms (3 papers) and Railway Systems and Energy Efficiency (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (64 citations), Control and Systems Engineering (119 citations), Management Science and Operations Research (60 citations), Computational Theory and Mathematics (70 citations) and Artificial Intelligence (140 citations). Gregor Papa has collaborated with scholars based in Slovenia, Hungary and Spain. Frequent co-authors include Jurij Šilc, Peter Korošec, Primož Potočnik, Mario Vražić, Peter Virtič, Marina Santo Zarnik, Tea Tušar, Jovan Tanevski, Tome Eftimov and Franc Novak. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Applied Intelligence, Sensors, Neurocomputing and PLoS ONE.
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.