Levi Valgaerts
- Computer Vision and Pattern Recognition top 1%
- Computational Mechanics top 5%
- Signal Processing top 10%
- Control and Systems Engineering top 10%
- Aerospace Engineering
- Co-authors
- Christian TheobaltMichael ZollhöferPablo GarridoAndrés BruhnMatthias NießnerJustus ThiesMarc StammingerChenglei Wu
- Topics
- Advanced Vision and Imaging (8 papers)Face recognition and analysis (4 papers)Advanced Image Processing Techniques (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignComputational Mechanics
- Journals
- ACM Transactions on GraphicsInternational Journal of Computer VisionComputer Graphics Forum
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Levi Valgaerts
10 papers receiving 814 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 814
- Computational Mechanics 232
- Signal Processing 86
- Control and Systems Engineering 73
- Aerospace Engineering 63
Countries citing papers authored by Levi Valgaerts
This map shows the geographic impact of Levi Valgaerts'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 Levi Valgaerts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Levi Valgaerts more than expected).
Fields of papers citing papers by Levi Valgaerts
This network shows the impact of papers produced by Levi Valgaerts. 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 Levi Valgaerts. The network helps show where Levi Valgaerts may publish in the future.
Co-authorship network of co-authors of Levi Valgaerts
This figure shows the co-authorship network connecting the top 25 collaborators of Levi Valgaerts. A scholar is included among the top collaborators of Levi Valgaerts 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 Levi Valgaerts. Levi Valgaerts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 163 | |
| 3 | 243 | |
| 4 | 71 | |
| 5 | 95 | |
| 6 | 56 | |
| 7 | 99 | |
| 8 | 56 | |
| 9 | 33 | |
| 10 | PDE-based Anisotropic Disparity-driven Stereo Vision | 10 |
About Levi Valgaerts
Levi Valgaerts is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Computational Mechanics, having authored 10 papers that have together received 841 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Face recognition and analysis (4 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (814 citations), Computer Graphics and Computer-Aided Design (53 citations) and Computational Mechanics (232 citations). Levi Valgaerts has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christian Theobalt, Michael Zollhöfer, Pablo Garrido, Andrés Bruhn, Matthias Nießner, Justus Thies, Marc Stamminger, Chenglei Wu, Kiran Varanasi and Patrick Pérez. Their work appears in journals such as ACM Transactions on Graphics, International Journal of Computer Vision and Computer Graphics Forum.
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.