Matthias Nießner
- Computer Vision and Pattern Recognition top 0.05%
- Computational Mechanics top 0.1%
- Aerospace Engineering top 0.2%
- Geology top 0.05%
- Computer Graphics and Computer-Aided Design top 0.05%
- Co-authors
- Michael ZollhöferJustus ThiesChristian TheobaltAngela DaiMarc StammingerThomas FunkhouserManolis SavvaAnne Lynn S. Chang
- Topics
- Computer Graphics and Visualization Techniques (54 papers)Advanced Vision and Imaging (49 papers)3D Shape Modeling and Analysis (46 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEECommunications of the ACM
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Matthias Nießner
108 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 8.2k
- Computational Mechanics 3.4k
- Aerospace Engineering 2.8k
- Geology 2.4k
- Computer Graphics and Computer-Aided Design 2.0k
Countries citing papers authored by Matthias Nießner
This map shows the geographic impact of Matthias Nießner'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 Matthias Nießner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Nießner more than expected).
Fields of papers citing papers by Matthias Nießner
This network shows the impact of papers produced by Matthias Nießner. 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 Matthias Nießner. The network helps show where Matthias Nießner may publish in the future.
Co-authorship network of co-authors of Matthias Nießner
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Nießner. A scholar is included among the top collaborators of Matthias Nießner 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 Matthias Nießner. Matthias Nießner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 36 | |
| 3 | 19 | |
| 4 | GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussiansbreakdown → | 56 |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 19 | |
| 8 | 3 | |
| 9 | 59 | |
| 10 | 73 | |
| 11 | 33 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 3D-SIC: 3D Semantic Instance Completion for RGB-D Scans | 3 |
| 15 | Linear Inequality Constraints for Neural Network Activations. | 2 |
| 16 | 仮想現実感におけるFACEVR実時間凝視意識顔再制定【JST・京大機械翻訳】 | 2 |
| 17 | 80 | |
| 18 | The Semantic Paintbrush | 2 |
| 19 | SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips | 57 |
| 20 | 7 |
About Matthias Nießner
Matthias Nießner is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 113 papers that have together received 10.7k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (54 papers), Advanced Vision and Imaging (49 papers) and 3D Shape Modeling and Analysis (46 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (2.0k citations), Geology (2.4k citations) and Computer Vision and Pattern Recognition (8.2k citations). Matthias Nießner has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Michael Zollhöfer, Justus Thies, Christian Theobalt, Angela Dai, Marc Stamminger, Thomas Funkhouser, Manolis Savva, Anne Lynn S. Chang, Maciej Halber and Shahram Izadi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Communications of the ACM.
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.