Tunç Ozan Aydın
- Computer Vision and Pattern Recognition top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Media Technology top 2%
- Computer Graphics and Computer-Aided Design top 2%
- Cognitive Neuroscience
- Co-authors
- Hans‐Peter SeidelRafał MantiukAljoša SmolićKarol MyszkowskiMarkus GroßYağız AksoyMarc PollefeysMartin Čadík
- Topics
- Image Enhancement Techniques (27 papers)Advanced Vision and Imaging (17 papers)Image and Video Quality Assessment (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- ACM Transactions on GraphicsIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Tunç Ozan Aydın
38 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 1.0k
- Atomic and Molecular Physics, and Optics 245
- Media Technology 221
- Computer Graphics and Computer-Aided Design 128
- Cognitive Neuroscience 77
Countries citing papers authored by Tunç Ozan Aydın
This map shows the geographic impact of Tunç Ozan Aydın'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 Tunç Ozan Aydın with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tunç Ozan Aydın more than expected).
Fields of papers citing papers by Tunç Ozan Aydın
This network shows the impact of papers produced by Tunç Ozan Aydın. 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 Tunç Ozan Aydın. The network helps show where Tunç Ozan Aydın may publish in the future.
Co-authorship network of co-authors of Tunç Ozan Aydın
This figure shows the co-authorship network connecting the top 25 collaborators of Tunç Ozan Aydın. A scholar is included among the top collaborators of Tunç Ozan Aydın based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tunç Ozan Aydın. Tunç Ozan Aydın is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 37 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 29 | |
| 8 | 5 | |
| 9 | 21 | |
| 10 | 27 | |
| 11 | 1 | |
| 12 | 44 | |
| 13 | 93 | |
| 14 | 45 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 20 | |
| 18 | 8 | |
| 19 | 6 | |
| 20 | 45 |
About Tunç Ozan Aydın
Tunç Ozan Aydın is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image Enhancement Techniques (27 papers), Advanced Vision and Imaging (17 papers) and Image and Video Quality Assessment (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Computer Graphics and Computer-Aided Design (128 citations) and Media Technology (221 citations). Tunç Ozan Aydın has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Hans‐Peter Seidel, Rafał Mantiuk, Aljoša Smolić, Karol Myszkowski, Markus Groß, Yağız Aksoy, Marc Pollefeys, Martin Čadík, Oliver Wang and Manuel Lang. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Visualization and Computer Graphics.
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.