Franziska Mueller
- Computer Vision and Pattern Recognition top 1%
- Human-Computer Interaction top 0.5%
- Control and Systems Engineering top 5%
- Computational Mechanics top 10%
- Biomedical Engineering
- Co-authors
- Christian TheobaltOleksandr SotnychenkoDushyant MehtaSrinath SridharDan CasasFlorian BernardGerard Pons‐MollWeipeng Xu
- Topics
- Human Pose and Action Recognition (11 papers)Hand Gesture Recognition Systems (10 papers)Advanced Vision and Imaging (6 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Franziska Mueller
21 papers receiving 959 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 771
- Human-Computer Interaction 514
- Control and Systems Engineering 268
- Computational Mechanics 129
- Biomedical Engineering 103
Countries citing papers authored by Franziska Mueller
This map shows the geographic impact of Franziska Mueller'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 Franziska Mueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franziska Mueller more than expected).
Fields of papers citing papers by Franziska Mueller
This network shows the impact of papers produced by Franziska Mueller. 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 Franziska Mueller. The network helps show where Franziska Mueller may publish in the future.
Co-authorship network of co-authors of Franziska Mueller
This figure shows the co-authorship network connecting the top 25 collaborators of Franziska Mueller. A scholar is included among the top collaborators of Franziska Mueller 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 Franziska Mueller. Franziska Mueller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 16 | |
| 8 | 32 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 60 | |
| 12 | 4 | |
| 13 | XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera | 14 |
| 14 | 118 | |
| 15 | 246 | |
| 16 | HandSeg: A Dataset for Hand Segmentation from Depth Images. | 2 |
| 17 | Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input | 7 |
| 18 | 64 | |
| 19 | 36 | |
| 20 | 1 |
About Franziska Mueller
Franziska Mueller is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 22 papers that have together received 993 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (11 papers), Hand Gesture Recognition Systems (10 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Human-Computer Interaction (514 citations), Computer Vision and Pattern Recognition (771 citations) and Control and Systems Engineering (268 citations). Franziska Mueller has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christian Theobalt, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, Florian Bernard, Gerard Pons‐Moll, Weipeng Xu, Miguel Á. Otaduy and Micah Davis. Their work appears in journals such as Blood, ACM Transactions on Graphics and Leukemia.
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.