Tobias Senst
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Aerospace Engineering
- Signal Processing
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- Thomas SikoraErik BochinskiVolker EiseleinAlexander KühnHolger TheiselT. SikoraŞahin AlbayrakBernd Michaelis
- Topics
- Video Surveillance and Tracking Methods (13 papers)Advanced Vision and Imaging (11 papers)Anomaly Detection Techniques and Applications (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceSafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Information Forensics and Security
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Tobias Senst
25 papers receiving 530 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 440
- Artificial Intelligence 220
- Aerospace Engineering 56
- Signal Processing 33
- Safety, Risk, Reliability and Quality 33
Countries citing papers authored by Tobias Senst
This map shows the geographic impact of Tobias Senst'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 Tobias Senst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Senst more than expected).
Fields of papers citing papers by Tobias Senst
This network shows the impact of papers produced by Tobias Senst. 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 Tobias Senst. The network helps show where Tobias Senst may publish in the future.
Co-authorship network of co-authors of Tobias Senst
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Senst. A scholar is included among the top collaborators of Tobias Senst 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 Tobias Senst. Tobias Senst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 131 | |
| 2 | 98 | |
| 3 | 62 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 16 | |
| 14 | 12 | |
| 15 | 25 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 13 | |
| 19 | 3 | |
| 20 | 2 |
About Tobias Senst
Tobias Senst is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 25 papers that have together received 550 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (13 papers), Advanced Vision and Imaging (11 papers) and Anomaly Detection Techniques and Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (440 citations), Artificial Intelligence (220 citations) and Safety, Risk, Reliability and Quality (33 citations). Tobias Senst has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Thomas Sikora, Erik Bochinski, Volker Eiselein, Alexander Kühn, Holger Theisel, T. Sikora, Şahin Albayrak, Bernd Michaelis, Brigitte Unger and Atta Badii. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Information Forensics and Security.
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.