Andreas Møgelmose
- Computer Vision and Pattern Recognition top 1%
- Automotive Engineering top 5%
- Media Technology top 1%
- Artificial Intelligence top 10%
- Civil and Structural Engineering top 10%
- Co-authors
- Mohan M. TrivediThomas B. MoeslundMorten B. JensenMark Philip PhilipsenDongran LiuSérgio EscaleraChris BahnsenAlbert Clapés
- Topics
- Video Surveillance and Tracking Methods (15 papers)Autonomous Vehicle Technology and Safety (13 papers)Remote Sensing and LiDAR Applications (7 papers)
- Journals
- International Journal of Computer VisionIEEE Transactions on Intelligent Transportation SystemsRemote Sensing
- Partner nations
- DenmarkUnited StatesNew Zealand
In The Last Decade
Andreas Møgelmose
31 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 933
- Automotive Engineering 293
- Media Technology 291
- Artificial Intelligence 160
- Civil and Structural Engineering 128
Countries citing papers authored by Andreas Møgelmose
This map shows the geographic impact of Andreas Møgelmose'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 Andreas Møgelmose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Møgelmose more than expected).
Fields of papers citing papers by Andreas Møgelmose
This network shows the impact of papers produced by Andreas Møgelmose. 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 Andreas Møgelmose. The network helps show where Andreas Møgelmose may publish in the future.
Co-authorship network of co-authors of Andreas Møgelmose
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Møgelmose. A scholar is included among the top collaborators of Andreas Møgelmose 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 Andreas Møgelmose. Andreas Møgelmose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 60 | |
| 12 | 172 | |
| 13 | 61 | |
| 14 | 69 | |
| 15 | 12th IEEE International Conference on Advanced Video and Signal based Surveillance, 2015 | 25 |
| 16 | 10 | |
| 17 | 53 | |
| 18 | Vision for Intelligent Vehicles and Application | 2 |
| 19 | 20 | |
| 20 | 54 |
About Andreas Møgelmose
Andreas Møgelmose is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Computer Graphics and Computer-Aided Design, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (15 papers), Autonomous Vehicle Technology and Safety (13 papers) and Remote Sensing and LiDAR Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (933 citations), Media Technology (291 citations) and Automotive Engineering (293 citations). Andreas Møgelmose has collaborated with scholars based in Denmark, United States and New Zealand. Frequent co-authors include Mohan M. Trivedi, Thomas B. Moeslund, Morten B. Jensen, Mark Philip Philipsen, Dongran Liu, Sérgio Escalera, Chris Bahnsen, Albert Clapés, Alberto Broggi and Antonio Prioletti. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Intelligent Transportation Systems and Remote Sensing.
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.