Peter Kán

31 papers receiving 342 citations

Peers

Peter Kán
Comparison fields: 5 of 67
  • Computer Graphics and Computer-Aided Design 76
  • Human-Computer Interaction 107
  • Computer Vision and Pattern Recognition 176
  • Geology 39
  • Cognitive Neuroscience 75
Replace Volker Settgast with:
Volker Settgast Austria
Juncong Lin China
Gregory Dawe United States
Maria Shugrina Canada
Stefan Maierhofer Austria
Sebastian Friston United Kingdom
Jens Keil Germany
Soonchul Kwon South Korea
Jean-Marc Vézien France
Yukio Fukui Japan
Peter Kán relative to Volker Settgast Austria Volker Settgast's profile →
Citations per field
00.5×2.9×
Volker Settgast · 1×
Citations per year

Countries citing papers authored by Peter Kán

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 23 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.

Border = papers with Peter Kán Line = papers co-authored together Peter Kán links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201243
2 202042
3 202235
4 201926
5 202123
6 201321
7 201721
8 202119
9 201818
10 201913
11 202113
12 202113
13 201212
14 20119
15 20218
16 20157
17 20124
18 19994
19 20204
20 20223

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 32 papers that have together received 357 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (6 papers), Augmented Reality Applications (4 papers), Tactile and Sensory Interactions (4 papers), Design Education and Practice (3 papers), Multisensory perception and integration (3 papers), Hearing Loss and Rehabilitation (3 papers) and BIM and Construction Integration (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (76 citations), Human-Computer Interaction (107 citations), Computer Vision and Pattern Recognition (176 citations), Geology (39 citations) and Cognitive Neuroscience (75 citations). Peter Kán has collaborated with scholars based in Austria, Denmark and Canada. Frequent co-authors include Hannes Kaufmann, Iva Kovačić, Ken Pfeuffer, Anna Maria Feit, Antti Oulasvirta, Kaj Grønbæk, Lorne Whitehead, Lenka Lhotská, Rajibul Huq and Alex Mihailidis. 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.

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