Peter Kán
Impact in
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- Computer Graphics and Visualization Techniques
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
- Interactive and Immersive Displays
Papers in
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- Advanced Vision and Imaging 8
- Augmented Reality Applications 5
- Image Enhancement Techniques 4
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- Computer Graphics and Visualization Techniques 8
- Co-authors
- Hannes Kaufmann (20 shared papers)Anna Maria Feit (1 shared paper)Antti Oulasvirta (1 shared paper)Ken Pfeuffer (1 shared paper)Kaj Grønbæk (1 shared paper)Mathias N. Lystbæk (1 shared paper)Iva Kovačić (5 shared papers)Lorne Whitehead (4 shared papers)
In The Last Decade
Peter Kán
34 papers receiving 402 citations
Peers
Comparison fields: 5 of 70
- Computer Graphics and Computer-Aided Design 96
- Human-Computer Interaction 123
- Computer Vision and Pattern Recognition 214
- Geology 45
- Cognitive Neuroscience 80
Countries citing papers authored by Peter Kán
This map shows the geographic impact of Peter Kán'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 Kán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kán more than expected).
Fields of papers citing papers by Peter Kán
This network shows the impact of papers produced by Peter Kán. 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 Kán. The network helps show where Peter Kán may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Kán, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 51 | |
| 2 | 2012 | 48 | |
| 3 | 2020 | 47 | |
| 4 | 2019 | 29 | |
| 5 | 2021 | 25 | |
| 6 | 2017 | 25 | |
| 7 | 2013 | 22 | |
| 8 | 2021 | 21 | |
| 9 | 2018 | 21 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 15 | |
| 12 | 2019 | 15 | |
| 13 | 2012 | 14 | |
| 14 | 2011 | 10 | |
| 15 | 2021 | 8 | |
| 16 | 2015 | 8 | |
| 17 | 2015 | 8 | |
| 18 | 2013 | 6 | |
| 19 | 2012 | 4 | |
| 20 | 1999 | 4 |
About Peter Kán
Peter Kán is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Mechanical Engineering, having authored 35 papers that have together received 424 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Computer Graphics and Visualization Techniques (8 papers), Augmented Reality Applications (5 papers), Image Enhancement Techniques (4 papers), Tactile and Sensory Interactions (4 papers), Color Science and Applications (3 papers), Design Education and Practice (3 papers) and Multisensory perception and integration (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (96 citations), Human-Computer Interaction (123 citations), Computer Vision and Pattern Recognition (214 citations), Geology (45 citations) and Cognitive Neuroscience (80 citations). Peter Kán has collaborated with scholars based in Austria, Denmark and Canada. Frequent co-authors include Hannes Kaufmann, Anna Maria Feit, Antti Oulasvirta, Ken Pfeuffer, Kaj Grønbæk, Mathias N. Lystbæk, Iva Kovačić, Lorne Whitehead, Lenka Lhotská and Benjamin Outram. Their work appears in journals such as The Visual Computer, Electronics, IEEE Transactions on Biomedical Engineering, Journal of Building Engineering and International Journal of Computer Assisted Radiology and Surgery.
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.