Gerald Bieber
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- General Health Professions
- Human-Computer Interaction top 5%
- Computer Networks and Communications
- Co-authors
- Bodo UrbanChristian PeterDenys J. C. MatthiesRalf SchielThomas KirsteKarthik SrinivasanOliver KornRalf Salomon
- Topics
- Context-Aware Activity Recognition Systems (28 papers)Non-Invasive Vital Sign Monitoring (16 papers)Mobile Health and mHealth Applications (7 papers)
In The Last Decade
Gerald Bieber
54 papers receiving 479 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 214
- Biomedical Engineering 133
- General Health Professions 87
- Human-Computer Interaction 85
- Computer Networks and Communications 56
Countries citing papers authored by Gerald Bieber
This map shows the geographic impact of Gerald Bieber'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 Gerald Bieber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Bieber more than expected).
Fields of papers citing papers by Gerald Bieber
This network shows the impact of papers produced by Gerald Bieber. 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 Gerald Bieber. The network helps show where Gerald Bieber may publish in the future.
Co-authorship network of co-authors of Gerald Bieber
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Bieber. A scholar is included among the top collaborators of Gerald Bieber 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 Gerald Bieber. Gerald Bieber 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 30 | |
| 8 | RoRo a new robotic rollator concept to assist the elderly and caregivers | 1 |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 17 | |
| 12 | 15 | |
| 13 | 9 | |
| 14 | 8 | |
| 15 | 32 | |
| 16 | 16 | |
| 17 | 12 | |
| 18 | 13 | |
| 19 | 7 | |
| 20 | 1 |
About Gerald Bieber
Gerald Bieber is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Physical Therapy, Sports Therapy and Rehabilitation, having authored 57 papers that have together received 502 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (28 papers), Non-Invasive Vital Sign Monitoring (16 papers) and Mobile Health and mHealth Applications (7 papers). The work is most often cited by research in Human-Computer Interaction (85 citations), Computer Vision and Pattern Recognition (214 citations) and Neuropsychology and Physiological Psychology (9 citations). Gerald Bieber has collaborated with scholars based in Germany, Austria and Sweden. Frequent co-authors include Bodo Urban, Christian Peter, Denys J. C. Matthies, Ralf Schiel, Thomas Kirste, Karthik Srinivasan, Oliver Korn, Ralf Salomon, John Waterworth and Soledad Ballesteros. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Appetite.
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.