Miloš Hašan
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Image Enhancement Techniques
- Data Visualization and Analytics
- Optical measurement and interference techniques
Papers in
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- Computer Graphics and Visualization Techniques 58
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- Advanced Vision and Imaging 31
- Image Enhancement Techniques 11
- Generative Adversarial Networks and Image Synthesis 7
- Co-authors
- Kavita BalaFabio PellaciniRavi RamamoorthiLing‐Qi YanSteve MarschnerJaroslav KřivánekBruce WalterShuang Zhao
- Journals
- ACM Transactions on Graphics (31 papers)Computer Graphics Forum (5 papers)Optics Express (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Computational Visual Media (1 paper)
- Partner nations
- United StatesChinaCzechia
In The Last Decade
Miloš Hašan
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 57
- Computer Graphics and Computer-Aided Design 1.3k
- Computer Vision and Pattern Recognition 1.2k
- Computational Mechanics 710
- Geology 89
- Acoustics and Ultrasonics 12
Countries citing papers authored by Miloš Hašan
This map shows the geographic impact of Miloš Hašan'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 Miloš Hašan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miloš Hašan more than expected).
Fields of papers citing papers by Miloš Hašan
This network shows the impact of papers produced by Miloš Hašan. 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 Miloš Hašan. The network helps show where Miloš Hašan may publish in the future.
Co-authors
The 25 scholars most cited alongside Miloš Hašan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 32 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 13 | |
| 14 | 2016 | 50 | |
| 15 | 2014 | 70 | |
| 16 | 2010 | 12 | |
| 17 | 2010 | 9 | |
| 18 | 2009 | 12 | |
| 19 | 2009 | 5 | |
| 20 | 2007 | 87 |
About Miloš Hašan
Miloš Hašan is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Geology and Media Technology, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (58 papers), 3D Shape Modeling and Analysis (32 papers), Advanced Vision and Imaging (31 papers), Image Enhancement Techniques (11 papers), Color Science and Applications (9 papers), Generative Adversarial Networks and Image Synthesis (7 papers), 3D Surveying and Cultural Heritage (4 papers) and Visual perception and processing mechanisms (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.3k citations), Computer Vision and Pattern Recognition (1.2k citations), Computational Mechanics (710 citations), Geology (89 citations) and Acoustics and Ultrasonics (12 citations). Miloš Hašan has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Kavita Bala, Fabio Pellacini, Ravi Ramamoorthi, Ling‐Qi Yan, Steve Marschner, Jaroslav Křivánek, Bruce Walter, Shuang Zhao, Kalyan Sunkavalli and Yu Guo. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, Optics Express, IEEE Transactions on Visualization and Computer Graphics and Computational Visual Media.
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.