Martin Saerbeck
- Social Psychology top 5%
- Human-Computer Interaction top 1%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Christoph BartneckPramod Kumar PisharadyMaddy JanseBernt MeerbeekSye Loong KeohJustin DauwelsMichele SevegnaniXudong Jiang
- Topics
- Social Robot Interaction and HRI (10 papers)Human Pose and Action Recognition (4 papers)Hand Gesture Recognition Systems (4 papers)
- Journals
- IEEE AccessIEEE Transactions on Neural Networks and Learning SystemsComputer Vision and Image Understanding
- Partner nations
- SingaporeNetherlandsFinland
In The Last Decade
Martin Saerbeck
21 papers receiving 722 citations
Peers
Comparison fields: 5 of 56
- Social Psychology 391
- Human-Computer Interaction 297
- Artificial Intelligence 240
- Computer Vision and Pattern Recognition 197
- Control and Systems Engineering 192
Countries citing papers authored by Martin Saerbeck
This map shows the geographic impact of Martin Saerbeck'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 Martin Saerbeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Saerbeck more than expected).
Fields of papers citing papers by Martin Saerbeck
This network shows the impact of papers produced by Martin Saerbeck. 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 Martin Saerbeck. The network helps show where Martin Saerbeck may publish in the future.
Co-authorship network of co-authors of Martin Saerbeck
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Saerbeck. A scholar is included among the top collaborators of Martin Saerbeck 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 Martin Saerbeck. Martin Saerbeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 232 | |
| 7 | 22 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 13 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | User-centered design of robot personality and behavior | 1 |
| 15 | 108 | |
| 16 | 20 | |
| 17 | 226 | |
| 18 | 21 | |
| 19 | 6 | |
| 20 | 20 |
About Martin Saerbeck
Martin Saerbeck is a scholar working on Human-Computer Interaction, Social Psychology and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 758 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (10 papers), Human Pose and Action Recognition (4 papers) and Hand Gesture Recognition Systems (4 papers). The work is most often cited by research in Human-Computer Interaction (297 citations), Social Psychology (391 citations) and Computer Vision and Pattern Recognition (197 citations). Martin Saerbeck has collaborated with scholars based in Singapore, Netherlands and Finland. Frequent co-authors include Christoph Bartneck, Pramod Kumar Pisharady, Maddy Janse, Bernt Meerbeek, Sye Loong Keoh, Justin Dauwels, Michele Sevegnani, Xudong Jiang and Xin Xin. Their work appears in journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Computer Vision and Image Understanding.
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.