Fabian Nater
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Cognitive Neuroscience
- Signal Processing
- Sociology and Political Science
- Co-authors
- Helmut GräbnerLuc Van GoolHayko RiemenschneiderMichael GygliMichel D. DrueyArmin KohlrauschTatiana TommasiJeroen Breebaart
- Topics
- Human Pose and Action Recognition (5 papers)Anomaly Detection Techniques and Applications (5 papers)Video Surveillance and Tracking Methods (5 papers)
- Journals
- Journal of the Audio Engineering SocietyInfoscience (Ecole Polytechnique Fédérale de Lausanne)Lirias (KU Leuven)
- Partner nations
- SwitzerlandBelgiumFinland
In The Last Decade
Fabian Nater
10 papers receiving 247 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 216
- Artificial Intelligence 79
- Cognitive Neuroscience 45
- Signal Processing 34
- Sociology and Political Science 21
Countries citing papers authored by Fabian Nater
This map shows the geographic impact of Fabian Nater'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 Fabian Nater with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Nater more than expected).
Fields of papers citing papers by Fabian Nater
This network shows the impact of papers produced by Fabian Nater. 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 Fabian Nater. The network helps show where Fabian Nater may publish in the future.
Co-authorship network of co-authors of Fabian Nater
This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Nater. A scholar is included among the top collaborators of Fabian Nater 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 Fabian Nater. Fabian Nater is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 113 | |
| 2 | 40 | |
| 3 | 12 | |
| 4 | 18 | |
| 5 | 5 | |
| 6 | Spectral and Spatial Parameter Resolution Requirements for Parametric, Filter-Bank-Based HRTF Processing | 13 |
| 7 | Visual abnormal event detection for prolonged independent living | 3 |
| 8 | Parametric binaural synthesis: Background, applications and standards | 4 |
| 9 | 46 | |
| 10 | 12 |
About Fabian Nater
Fabian Nater is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 10 papers that have together received 266 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (216 citations), Human-Computer Interaction (18 citations) and Signal Processing (34 citations). Fabian Nater has collaborated with scholars based in Switzerland, Belgium and Finland. Frequent co-authors include Helmut Gräbner, Luc Van Gool, Hayko Riemenschneider, Michael Gygli, Michel D. Druey, Armin Kohlrausch, Tatiana Tommasi, Jeroen Breebaart and Barbara Caputo. Their work appears in journals such as Journal of the Audio Engineering Society, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Lirias (KU Leuven).
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.