Peter Sýkora
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Context-Aware Activity Recognition Systems
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 8
- Video Surveillance and Tracking Methods 8
- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 3
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- Anomaly Detection Techniques and Applications 5
- Co-authors
- Patrik Kamencay (27 shared papers)Róbert Hudec (25 shared papers)Miroslav Benčo (11 shared papers)
- Journals
- Sensors (3 papers)Applied Sciences (1 paper)Advances in Electrical and Electronic Engineering (2 papers)Transportation research procedia (1 paper)Procedia Engineering (1 paper)
In The Last Decade
Peter Sýkora
24 papers receiving 320 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 191
- Human-Computer Interaction 34
- Artificial Intelligence 101
- Signal Processing 21
- Media Technology 17
Countries citing papers authored by Peter Sýkora
This map shows the geographic impact of Peter Sýkora'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 Sýkora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Sýkora more than expected).
Fields of papers citing papers by Peter Sýkora
This network shows the impact of papers produced by Peter Sýkora. 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 Sýkora. The network helps show where Peter Sýkora may publish in the future.
Co-authors
The 3 scholars most cited alongside Peter Sýkora, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 66 | |
| 2 | 2017 | 55 | |
| 3 | 2014 | 48 | |
| 4 | 2023 | 34 | |
| 5 | 2022 | 34 | |
| 6 | 2017 | 23 | |
| 7 | 2016 | 22 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 7 | |
| 10 | 2018 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2020 | 1 |
About Peter Sýkora
Peter Sýkora is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology, Radiology, Nuclear Medicine and Imaging and Environmental Engineering, having authored 28 papers that have together received 339 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (8 papers), Video Surveillance and Tracking Methods (8 papers), Anomaly Detection Techniques and Applications (5 papers), Retinal Imaging and Analysis (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Advanced Neural Network Applications (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (191 citations), Human-Computer Interaction (34 citations), Artificial Intelligence (101 citations), Signal Processing (21 citations) and Media Technology (17 citations). Peter Sýkora has collaborated with scholars based in Slovakia and Pakistan. Frequent co-authors include Patrik Kamencay, Róbert Hudec and Miroslav Benčo. Their work appears in journals such as Sensors, Applied Sciences, Advances in Electrical and Electronic Engineering, Transportation research procedia and Procedia Engineering.
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.