Mark Philip Philipsen
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 10%
- Environmental Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Thomas B. MoeslundMohan M. TrivediMorten B. JensenAndreas MøgelmoseKamal NasrollahiChris BahnsenOle RavnAnders Jørgensen
- Topics
- Autonomous Vehicle Technology and Safety (4 papers)Remote Sensing and LiDAR Applications (4 papers)Video Surveillance and Tracking Methods (4 papers)
- Partner nations
- DenmarkUnited StatesNew Zealand
In The Last Decade
Mark Philip Philipsen
19 papers receiving 362 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 236
- Automotive Engineering 98
- Environmental Engineering 54
- Artificial Intelligence 50
- Electrical and Electronic Engineering 43
Countries citing papers authored by Mark Philip Philipsen
This map shows the geographic impact of Mark Philip Philipsen'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 Mark Philip Philipsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Philip Philipsen more than expected).
Fields of papers citing papers by Mark Philip Philipsen
This network shows the impact of papers produced by Mark Philip Philipsen. 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 Mark Philip Philipsen. The network helps show where Mark Philip Philipsen may publish in the future.
Co-authorship network of co-authors of Mark Philip Philipsen
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Philip Philipsen. A scholar is included among the top collaborators of Mark Philip Philipsen 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 Mark Philip Philipsen. Mark Philip Philipsen 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 | 3 | |
| 3 | 6 | |
| 4 | 21 | |
| 5 | 4 | |
| 6 | 29 | |
| 7 | Seasons in Drift: A Long-Term Thermal Imaging Dataset for Studying Concept Drift | 4 |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | Collaborative Meat Processing in Virtual Reality: Evaluating Perceived Safety and Predictability of Robot Approach | 2 |
| 12 | 1 | |
| 13 | 10 | |
| 14 | Augmented Cellular Meat Production | 1 |
| 15 | 172 | |
| 16 | 61 | |
| 17 | 12th IEEE International Conference on Advanced Video and Signal based Surveillance, 2015 | 25 |
| 18 | 10 | |
| 19 | 8 |
About Mark Philip Philipsen
Mark Philip Philipsen is a scholar working on Geology, Automotive Engineering and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 373 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (4 papers), Remote Sensing and LiDAR Applications (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (236 citations), Automotive Engineering (98 citations) and Media Technology (36 citations). Mark Philip Philipsen has collaborated with scholars based in Denmark, United States and New Zealand. Frequent co-authors include Thomas B. Moeslund, Mohan M. Trivedi, Morten B. Jensen, Andreas Møgelmose, Kamal Nasrollahi, Chris Bahnsen, Ole Ravn, Anders Jørgensen, Sérgio Escalera and Cecilio Ángulo. Their work appears in journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and Water.
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.