Attila Barsi

48 papers receiving 461 citations

Peers

Attila Barsi
Comparison fields: 5 of 43
  • Media Technology 308
  • Computer Graphics and Computer-Aided Design 83
  • Computer Vision and Pattern Recognition 379
  • Human-Computer Interaction 69
  • Cognitive Neuroscience 188
Replace György Dénes with:
György Dénes United Kingdom
Sakuichi Ohtsuka Japan
Roger Olsson Sweden
Gregory Ward Larson United States
Steven Poulakos Switzerland
Hirokazu Yamanoue Japan
Atanas Boev Finland
Jeffrey M. DiCarlo United States
Anna Tomaszewska Poland
YiChang Shih United States
Attila Barsi relative to György Dénes United Kingdom György Dénes's profile →
Citations per field
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Citations per year

Countries citing papers authored by Attila Barsi

Since Specialization
Citations

This map shows the geographic impact of Attila Barsi'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 Attila Barsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Attila Barsi more than expected).

Fields of papers citing papers by Attila Barsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Attila Barsi. 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 Attila Barsi. The network helps show where Attila Barsi may publish in the future.

Co-authors

The 25 scholars most cited alongside Attila Barsi, 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 Attila Barsi Line = papers co-authored together Attila Barsi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201842
2 201729
3 201425
4 201724
5 201621
6 201721
7 200720
8 199919
9 201819
10 201419
11 201617
12 201914
13 201714
14 201414
15 202112
16 201612
17
From a different point of view : how the field of view of light field displays affects the willingness to pay and to use
201611
18 201610
19 201810
20 20169

About Attila Barsi

Attila Barsi is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Graphics and Computer-Aided Design, Cognitive Neuroscience and Human-Computer Interaction, having authored 50 papers that have together received 491 indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (36 papers), Advanced Vision and Imaging (31 papers), Computer Graphics and Visualization Techniques (18 papers), Image and Video Quality Assessment (15 papers), Visual perception and processing mechanisms (12 papers), Virtual Reality Applications and Impacts (5 papers), Color Science and Applications (5 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Media Technology (308 citations), Computer Graphics and Computer-Aided Design (83 citations), Computer Vision and Pattern Recognition (379 citations), Human-Computer Interaction (69 citations) and Cognitive Neuroscience (188 citations). Attila Barsi has collaborated with scholars based in Hungary, United Kingdom and India. Frequent co-authors include Peter A. Kara, Maria G. Martini, Tibor Balogh, Péter Tamás Kovács, Robert Bregović, László Bokor, Atanas Gotchev, Vamsi Kiran Adhikarla, Zsolt Nagy and Anikó Simon. Their work appears in journals such as Journal of Information Display, American Journal of Physiology-Heart and Circulatory Physiology, Journal of the Society for Information Display, IEEE Transactions on Broadcasting and Electronics.

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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