Tobias Kirschstein
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Information Systems
- Artificial Intelligence
- Co-authors
- Matthias NießnerLiam SchoneveldMichele CatastaStephan GünnemannJure LeskovecDaniel ZügnerMartin RünzLourdes Agapito
- Topics
- 3D Shape Modeling and Analysis (5 papers)Computer Graphics and Visualization Techniques (4 papers)Generative Adversarial Networks and Image Synthesis (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- ACM Transactions on GraphicsarXiv (Cornell University)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Tobias Kirschstein
7 papers receiving 170 citations
Hit Papers
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 103
- Computational Mechanics 66
- Computer Graphics and Computer-Aided Design 43
- Information Systems 37
- Artificial Intelligence 36
Countries citing papers authored by Tobias Kirschstein
This map shows the geographic impact of Tobias Kirschstein'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 Tobias Kirschstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Kirschstein more than expected).
Fields of papers citing papers by Tobias Kirschstein
This network shows the impact of papers produced by Tobias Kirschstein. 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 Tobias Kirschstein. The network helps show where Tobias Kirschstein may publish in the future.
Co-authorship network of co-authors of Tobias Kirschstein
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Kirschstein. A scholar is included among the top collaborators of Tobias Kirschstein 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 Tobias Kirschstein. Tobias Kirschstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussiansbreakdown → | 56 |
| 4 | 10 | |
| 5 | 10 | |
| 6 | 33 | |
| 7 | 18 | |
| 8 | 41 |
About Tobias Kirschstein
Tobias Kirschstein is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 8 papers that have together received 176 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (5 papers), Computer Graphics and Visualization Techniques (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (43 citations), Computer Vision and Pattern Recognition (103 citations) and Computational Mechanics (66 citations). Tobias Kirschstein has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Matthias Nießner, Liam Schoneveld, Michele Catasta, Stephan Günnemann, Jure Leskovec, Daniel Zügner, Martin Rünz, Lourdes Agapito and Jiapeng Tang. Their work appears in journals such as ACM Transactions on Graphics and arXiv (Cornell University).
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.