Matthias Nießner
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- Computer Graphics and Visualization Techniques 54
- Geology top 0.05%
- 3D Surveying and Cultural Heritage 17
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Vision and Imaging 49
- Generative Adversarial Networks and Image Synthesis 20
- Face recognition and analysis 13
- Computational Mechanics top 0.1%
- 3D Shape Modeling and Analysis 46
- Advanced Numerical Analysis Techniques 13
- Aerospace Engineering top 0.2%
- Robotics and Sensor-Based Localization 23
- Co-authors
- Michael ZollhöferJustus ThiesChristian TheobaltAngela DaiMarc StammingerThomas FunkhouserManolis SavvaAnne Lynn S. Chang
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Proceedings of the IEEE (1 paper)Communications of the ACM (1 paper)
- 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 Graphics and Computer-Aided Design 2.0k
- Geology 2.4k
- Computer Vision and Pattern Recognition 8.2k
- Computational Mechanics 3.4k
- Aerospace Engineering 2.8k
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
The 25 scholars most cited alongside Matthias Nießner, 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 | 2024 | 8 | |
| 2 | 2024 | 36 | |
| 3 | 2024 | 19 | |
| 4 | GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussiansbreakdown → | 2024 | 56 |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 19 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 59 | |
| 10 | 2023 | 73 | |
| 11 | 2023 | 33 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 3D-SIC: 3D Semantic Instance Completion for RGB-D Scans | 2019 | 3 |
| 15 | Linear Inequality Constraints for Neural Network Activations. | 2019 | 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】 | 2018 | 2 |
| 17 | 2016 | 80 | |
| 18 | The Semantic Paintbrush | 2015 | 2 |
| 19 | SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips | 2015 | 57 |
| 20 | 2013 | 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), 3D Shape Modeling and Analysis (46 papers), Robotics and Sensor-Based Localization (23 papers), Generative Adversarial Networks and Image Synthesis (20 papers), 3D Surveying and Cultural Heritage (17 papers), Face recognition and analysis (13 papers) and Advanced Numerical Analysis Techniques (13 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.