Peter Sinčák
Impact in
- Space and Planetary Science top 5%
- Health Informatics top 10%
Papers in
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- Neural Networks and Applications 16
- Fuzzy Logic and Control Systems 11
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- Face and Expression Recognition 6
- Co-authors
- Ján Vaščák (14 shared papers)Filippo Cavallo (8 shared papers)Paolo Dario (2 shared papers)Laura Fiorini (2 shared papers)Francesco Semeraro (1 shared paper)Pitoyo Hartono (7 shared papers)Marián Mach (10 shared papers)Daniel Hládek (2 shared papers)
In The Last Decade
Peter Sinčák
93 papers receiving 946 citations
Peers
Comparison fields: 5 of 126
- Space and Planetary Science 32
- Health Informatics 19
- Control and Systems Engineering 209
- Computer Vision and Pattern Recognition 188
- Artificial Intelligence 298
Countries citing papers authored by Peter Sinčák
This map shows the geographic impact of Peter Sinčák'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 Peter Sinčák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Sinčák more than expected).
Fields of papers citing papers by Peter Sinčák
This network shows the impact of papers produced by Peter Sinčák. 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 Peter Sinčák. The network helps show where Peter Sinčák may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Sinčák, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 197 | |
| 2 | 2018 | 102 | |
| 3 | 2020 | 62 | |
| 4 | 2019 | 50 | |
| 5 | 2020 | 38 | |
| 6 | 2005 | 28 | |
| 7 | 2013 | 27 | |
| 8 | 2008 | 25 | |
| 9 | Intelligent technologies - theory and applications : new trends in intelligent technologies | 2002 | 22 |
| 10 | 2013 | 18 | |
| 11 | 2018 | 18 | |
| 12 | 2014 | 18 | |
| 13 | 2014 | 17 | |
| 14 | 2004 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2018 | 14 | |
| 17 | 2014 | 14 | |
| 18 | 2019 | 13 | |
| 19 | 2019 | 12 | |
| 20 | 2013 | 11 |
About Peter Sinčák
Peter Sinčák is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Social Psychology and Computer Networks and Communications, having authored 102 papers that have together received 996 indexed citations. Recurring topics across this work include Robotics and Automated Systems (24 papers), Neural Networks and Applications (16 papers), Social Robot Interaction and HRI (16 papers), Emotion and Mood Recognition (14 papers), Fuzzy Logic and Control Systems (11 papers), IoT and Edge/Fog Computing (7 papers), Robotics and Sensor-Based Localization (6 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Space and Planetary Science (32 citations), Health Informatics (19 citations), Control and Systems Engineering (209 citations), Computer Vision and Pattern Recognition (188 citations) and Artificial Intelligence (298 citations). Peter Sinčák has collaborated with scholars based in Slovakia, Japan and Italy. Frequent co-authors include Ján Vaščák, Filippo Cavallo, Paolo Dario, Laura Fiorini, Francesco Semeraro, Pitoyo Hartono, Marián Mach, Daniel Hládek, Liang Zhao and Xingfu Wang. Their work appears in journals such as International Journal of Environmental Research and Public Health, Geocarto International, Sensors, Acta Polytechnica Hungarica and Journal of Biomedical Informatics.
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.