Stephan R. Richter
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Geology top 5%
- Human-Computer Interaction top 5%
- Co-authors
- Vladlen KoltunStefan RothRené RanftlMaxim TatarchenkoThomas BroxZhuwen LiChristian HolzPatrick Baudisch
- Topics
- Computer Graphics and Visualization Techniques (6 papers)Advanced Vision and Imaging (6 papers)3D Shape Modeling and Analysis (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceComputers & Graphics2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Stephan R. Richter
19 papers receiving 628 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 425
- Computational Mechanics 244
- Computer Graphics and Computer-Aided Design 154
- Geology 114
- Human-Computer Interaction 94
Countries citing papers authored by Stephan R. Richter
This map shows the geographic impact of Stephan R. Richter'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 Stephan R. Richter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan R. Richter more than expected).
Fields of papers citing papers by Stephan R. Richter
This network shows the impact of papers produced by Stephan R. Richter. 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 Stephan R. Richter. The network helps show where Stephan R. Richter may publish in the future.
Co-authorship network of co-authors of Stephan R. Richter
This figure shows the co-authorship network connecting the top 25 collaborators of Stephan R. Richter. A scholar is included among the top collaborators of Stephan R. Richter 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 Stephan R. Richter. Stephan R. Richter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 32 | |
| 4 | 54 | |
| 5 | Looking Beyond Single Images for Contrastive Semantic Segmentation Learning | 9 |
| 6 | What Do Single-View 3D Reconstruction Networks Learn?breakdown → | 256 |
| 7 | 52 | |
| 8 | 36 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 50 | |
| 12 | 48 | |
| 13 | 24 | |
| 14 | 2 | |
| 15 | Development of Highly Reliable Piezo Multilayer Actuators and Lifetime Tests under DC and AC Operating Conditions | 2 |
| 16 | Natural and anthropogenic 236 U in environmental samples | 1 |
| 17 | 28 | |
| 18 | 13 | |
| 19 | 28 |
About Stephan R. Richter
Stephan R. Richter is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 643 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (6 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (154 citations), Computer Vision and Pattern Recognition (425 citations) and Geology (114 citations). Stephan R. Richter has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Vladlen Koltun, Stefan Roth, René Ranftl, Maxim Tatarchenko, Thomas Brox, Zhuwen Li, Christian Holz, Patrick Baudisch, Hassan Abu Alhaija and Patrick Lühne. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computers & 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.