Mathias Parger
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Graph Theory and Algorithms
- Human Pose and Action Recognition
Papers in
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- Distributed systems and fault tolerance 2
- Distributed and Parallel Computing Systems 2
- Interconnection Networks and Systems 2
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- Advanced Vision and Imaging 4
- Advanced Neural Network Applications 2
- Co-authors
- Markus Steinberger (11 shared papers)Joerg H. Mueller (2 shared papers)Andreas Kurz (1 shared paper)Thomas Neff (2 shared papers)Anton Kaplanyan (1 shared paper)Dieter Schmalstieg (2 shared papers)Bernhard Kerbl (1 shared paper)Chengcheng Tang (2 shared papers)
- Journals
- Computer Graphics Forum (2 papers)ACM Transactions on Graphics (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- AustriaUnited StatesIsrael
In The Last Decade
Mathias Parger
11 papers receiving 306 citations
Mathias Parger's Hit Papers
Peers
Comparison fields: 5 of 51
- Computer Graphics and Computer-Aided Design 148
- Computer Vision and Pattern Recognition 217
- Human-Computer Interaction 33
- Computational Mechanics 110
- Hardware and Architecture 34
Countries citing papers authored by Mathias Parger
This map shows the geographic impact of Mathias Parger'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 Mathias Parger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Parger more than expected).
Fields of papers citing papers by Mathias Parger
This network shows the impact of papers produced by Mathias Parger. 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 Mathias Parger. The network helps show where Mathias Parger may publish in the future.
Co-authors
The 12 scholars most cited alongside Mathias Parger, 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 | DONeRF: Towards Real‐Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks Hit paper breakdown → | 2021 | 160 |
| 2 | 2018 | 41 | |
| 3 | 2024 | 33 | |
| 4 | 2020 | 28 | |
| 5 | 2022 | 17 | |
| 6 | 2021 | 15 | |
| 7 | 2020 | 10 | |
| 8 | 2019 | 7 | |
| 9 | 2023 | 2 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 1 |
About Mathias Parger
Mathias Parger is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Hardware and Architecture, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 11 papers that have together received 316 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Advanced Vision and Imaging (4 papers), 3D Shape Modeling and Analysis (3 papers), Computer Graphics and Visualization Techniques (3 papers), Distributed systems and fault tolerance (2 papers), Distributed and Parallel Computing Systems (2 papers), Interconnection Networks and Systems (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (148 citations), Computer Vision and Pattern Recognition (217 citations), Human-Computer Interaction (33 citations), Computational Mechanics (110 citations) and Hardware and Architecture (34 citations). Mathias Parger has collaborated with scholars based in Austria, United States and Israel. Frequent co-authors include Markus Steinberger, Joerg H. Mueller, Andreas Kurz, Thomas Neff, Anton Kaplanyan, Dieter Schmalstieg, Bernhard Kerbl, Chengcheng Tang, Robert Wang and Cem Keskin. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.