Christian Mandery
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence
- Human-Computer Interaction top 5%
- Co-authors
- Tamim AsfourMartin DoÖmer TerlemezNikolaus VahrenkampMatthias PlappertJúlia BorràsStefan UlbrichAtsuo Takanishi
- Topics
- Human Pose and Action Recognition (8 papers)Human Motion and Animation (5 papers)Robotic Locomotion and Control (5 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Partner nations
- GermanyUnited KingdomJapan
In The Last Decade
Christian Mandery
12 papers receiving 401 citations
Peers
Comparison fields: 5 of 48
- Control and Systems Engineering 219
- Computer Vision and Pattern Recognition 203
- Biomedical Engineering 177
- Artificial Intelligence 60
- Human-Computer Interaction 57
Countries citing papers authored by Christian Mandery
This map shows the geographic impact of Christian Mandery'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 Christian Mandery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Mandery more than expected).
Fields of papers citing papers by Christian Mandery
This network shows the impact of papers produced by Christian Mandery. 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 Christian Mandery. The network helps show where Christian Mandery may publish in the future.
Co-authorship network of co-authors of Christian Mandery
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Mandery. A scholar is included among the top collaborators of Christian Mandery 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 Christian Mandery. Christian Mandery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 6 | |
| 3 | 67 | |
| 4 | 9 | |
| 5 | Dimensionality reduction for whole-body human motion recognition | 8 |
| 6 | 78 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 14 | |
| 10 | 136 | |
| 11 | 11 | |
| 12 | 48 |
About Christian Mandery
Christian Mandery is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 12 papers that have together received 414 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (8 papers), Human Motion and Animation (5 papers) and Robotic Locomotion and Control (5 papers). The work is most often cited by research in Human-Computer Interaction (57 citations), Computer Vision and Pattern Recognition (203 citations) and Control and Systems Engineering (219 citations). Christian Mandery has collaborated with scholars based in Germany, United Kingdom and Japan. Frequent co-authors include Tamim Asfour, Martin Do, Ömer Terlemez, Nikolaus Vahrenkamp, Matthias Plappert, Júlia Borràs, Stefan Ulbrich, Atsuo Takanishi, Gabriele Trovato and Peter Kaiser. Their work appears in journals such as IEEE Transactions on Robotics, Robotics and Autonomous Systems and Science Robotics.
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.