Roland Angst
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 5%
- Aerospace Engineering top 10%
- Computer Graphics and Computer-Aided Design top 2%
- Geology top 5%
- Co-authors
- Marc PollefeysChristopher ZachMario BotschMarkus GroßWojciech MatusikMiguel Á. OtaduyBernd BickelHanspeter Pfister
- Topics
- Advanced Vision and Imaging (6 papers)Advanced Image and Video Retrieval Techniques (6 papers)3D Shape Modeling and Analysis (6 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringACM Transactions on GraphicsInternational Journal of Computer Vision
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Roland Angst
19 papers receiving 674 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 531
- Computational Mechanics 246
- Aerospace Engineering 180
- Computer Graphics and Computer-Aided Design 117
- Geology 93
Countries citing papers authored by Roland Angst
This map shows the geographic impact of Roland Angst'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 Roland Angst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland Angst more than expected).
Fields of papers citing papers by Roland Angst
This network shows the impact of papers produced by Roland Angst. 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 Roland Angst. The network helps show where Roland Angst may publish in the future.
Co-authorship network of co-authors of Roland Angst
This figure shows the co-authorship network connecting the top 25 collaborators of Roland Angst. A scholar is included among the top collaborators of Roland Angst 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 Roland Angst. Roland Angst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 16 | |
| 6 | 70 | |
| 7 | 101 | |
| 8 | 13 | |
| 9 | 17 | |
| 10 | 8 | |
| 11 | 128 | |
| 12 | 25 | |
| 13 | 2 | |
| 14 | 30 | |
| 15 | 6 | |
| 16 | 16 | |
| 17 | 1 | |
| 18 | 94 | |
| 19 | 101 |
About Roland Angst
Roland Angst is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 697 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and 3D Shape Modeling and Analysis (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (117 citations), Computer Vision and Pattern Recognition (531 citations) and Geology (93 citations). Roland Angst has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Marc Pollefeys, Christopher Zach, Mario Botsch, Markus Groß, Wojciech Matusik, Miguel Á. Otaduy, Bernd Bickel, Hanspeter Pfister, Christian Häne and Andrea Cohen. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, ACM Transactions on Graphics and International Journal of Computer Vision.
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.