Chris Bahnsen
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Aerospace Engineering
- Civil and Structural Engineering
- Artificial Intelligence
- Co-authors
- Thomas B. MoeslundSérgio EscaleraAlbert ClapésAndreas MøgelmoseCristina PalmeroThiemo AlldieckKamal NasrollahiMark Philip Philipsen
- Topics
- Video Surveillance and Tracking Methods (7 papers)Fire Detection and Safety Systems (4 papers)Image Enhancement Techniques (3 papers)
- Journals
- SensorsInternational Journal of Computer VisionIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- DenmarkNew ZealandSpain
In The Last Decade
Chris Bahnsen
16 papers receiving 313 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 234
- Biomedical Engineering 46
- Aerospace Engineering 39
- Civil and Structural Engineering 32
- Artificial Intelligence 31
Countries citing papers authored by Chris Bahnsen
This map shows the geographic impact of Chris Bahnsen'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 Chris Bahnsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Bahnsen more than expected).
Fields of papers citing papers by Chris Bahnsen
This network shows the impact of papers produced by Chris Bahnsen. 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 Chris Bahnsen. The network helps show where Chris Bahnsen may publish in the future.
Co-authorship network of co-authors of Chris Bahnsen
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Bahnsen. A scholar is included among the top collaborators of Chris Bahnsen 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 Chris Bahnsen. Chris Bahnsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 29 | |
| 3 | 16 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 75 | |
| 9 | 11 | |
| 10 | Road user behaviour analyses based on video detections: Status and best practice examples from the RUBA software | 3 |
| 11 | 60 | |
| 12 | 30 | |
| 13 | 29 | |
| 14 | 2 | |
| 15 | Automatic Detection Of Conflicts At Signalized Intersections | 1 |
| 16 | 54 | |
| 17 | Realtime global illumination using compressed pre-computed indirect illumination textures | 1 |
About Chris Bahnsen
Chris Bahnsen is a scholar working on Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition and Geology, having authored 17 papers that have together received 323 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Fire Detection and Safety Systems (4 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (234 citations), Media Technology (30 citations) and Human-Computer Interaction (16 citations). Chris Bahnsen has collaborated with scholars based in Denmark, New Zealand and Spain. Frequent co-authors include Thomas B. Moeslund, Sérgio Escalera, Albert Clapés, Andreas Møgelmose, Cristina Palmero, Thiemo Alldieck, Kamal Nasrollahi, Mark Philip Philipsen, Joakim Bruslund Haurum and Raúl Benítez. Their work appears in journals such as Sensors, International Journal of Computer Vision and IEEE Transactions on Intelligent Transportation Systems.
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.