Mark Philip Philipsen

566 total citations
19 papers, 373 citations indexed

About

Mark Philip Philipsen is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Mark Philip Philipsen has authored 19 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Automotive Engineering, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Environmental Engineering. Recurrent topics in Mark Philip Philipsen's work include Autonomous Vehicle Technology and Safety (4 papers), Remote Sensing and LiDAR Applications (4 papers) and Video Surveillance and Tracking Methods (4 papers). Mark Philip Philipsen is often cited by papers focused on Autonomous Vehicle Technology and Safety (4 papers), Remote Sensing and LiDAR Applications (4 papers) and Video Surveillance and Tracking Methods (4 papers). Mark Philip Philipsen collaborates with scholars based in Denmark, United States and New Zealand. Mark Philip Philipsen's co-authors include Thomas B. Moeslund, Morten B. Jensen, Andreas Møgelmose, Mohan M. Trivedi, Kamal Nasrollahi, Chris Bahnsen, Ole Ravn, Sérgio Escalera, Anders Jørgensen and I. Nikolov and has published in prestigious journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and Water.

In The Last Decade

Mark Philip Philipsen

19 papers receiving 362 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Philip Philipsen Denmark 9 236 98 54 50 43 19 373
Morten B. Jensen Denmark 9 269 1.1× 125 1.3× 47 0.9× 44 0.9× 49 1.1× 17 426
Chunmian Lin China 10 201 0.9× 65 0.7× 22 0.4× 45 0.9× 25 0.6× 14 344
Yanhua Jiang China 6 238 1.0× 211 2.2× 57 1.1× 35 0.7× 44 1.0× 16 331
Jirui Yuan China 7 291 1.2× 139 1.4× 65 1.2× 51 1.0× 42 1.0× 10 448
Marvin Teichmann United Kingdom 2 413 1.8× 149 1.5× 53 1.0× 106 2.1× 28 0.7× 2 513
Haibao Yu China 5 253 1.1× 138 1.4× 60 1.1× 39 0.8× 46 1.1× 11 395
Yigong Zhang China 11 264 1.1× 170 1.7× 109 2.0× 40 0.8× 20 0.5× 30 405
Zhe Dai China 6 240 1.0× 101 1.0× 19 0.4× 37 0.7× 42 1.0× 29 398
Huai Yuan China 13 312 1.3× 162 1.7× 37 0.7× 44 0.9× 34 0.8× 31 373

Countries citing papers authored by Mark Philip Philipsen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

19 of 19 papers shown
1.
Jensen, Simon Bo, et al.. (2024). OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground Utilities. VBN Forskningsportal (Aalborg Universitet). 7646–7655. 1 indexed citations
2.
Madan, Neelu, et al.. (2023). ThermalSynth: A Novel Approach for Generating Synthetic Thermal Human Scenarios. VBN Forskningsportal (Aalborg Universitet). 130–139. 3 indexed citations
3.
Philipsen, Mark Philip, et al.. (2022). Anomaly Detection for Agricultural Vehicles Using Autoencoders. Sensors. 22(10). 3608–3608. 21 indexed citations
4.
Philipsen, Mark Philip, et al.. (2022). Autoencoders for Semi-Supervised Water Level Modeling in Sewer Pipes with Sparse Labeled Data. Water. 14(3). 333–333. 6 indexed citations
5.
Bahnsen, Chris, et al.. (2021). 3D Sensors for Sewer Inspection: A Quantitative Review and Analysis. Sensors. 21(7). 2553–2553. 29 indexed citations
6.
Philipsen, Mark Philip, et al.. (2021). Supervised versus Self-supervised Assistant for Surveillance of Harbor Fronts. VBN Forskningsportal (Aalborg Universitet). 610–617. 4 indexed citations
7.
Nikolov, I., et al.. (2021). Seasons in Drift: A Long-Term Thermal Imaging Dataset for Studying Concept Drift. VBN Forskningsportal (Aalborg Universitet). 4 indexed citations
8.
Philipsen, Mark Philip, et al.. (2021). Generalizing Floor Plans Using Graph Neural Networks. VBN Forskningsportal (Aalborg Universitet). 654–658. 10 indexed citations
9.
Philipsen, Mark Philip & Thomas B. Moeslund. (2020). Cutting Pose Prediction from Point Clouds. Sensors. 20(6). 1563–1563. 4 indexed citations
10.
Philipsen, Mark Philip & Thomas B. Moeslund. (2019). Intelligent Injection Curing of Bacon. Procedia Manufacturing. 38. 148–155. 1 indexed citations
11.
Philipsen, Mark Philip, et al.. (2018). Collaborative Meat Processing in Virtual Reality: Evaluating Perceived Safety and Predictability of Robot Approach. VBN Forskningsportal (Aalborg Universitet). 2 indexed citations
12.
Philipsen, Mark Philip, et al.. (2018). Organ Segmentation in Poultry Viscera Using RGB-D. Sensors. 18(1). 117–117. 10 indexed citations
13.
Philipsen, Mark Philip, Matthias Rehm, & Thomas B. Moeslund. (2018). Industrial Human-Robot Collaboration. VBN Forskningsportal (Aalborg Universitet). 35–38. 1 indexed citations
14.
Rehm, Matthias, Mark Philip Philipsen, Rasmus Andersen, Ole Madsen, & Thomas B. Moeslund. (2017). Augmented Cellular Meat Production. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations
15.
Jensen, Morten B., Mark Philip Philipsen, Andreas Møgelmose, Thomas B. Moeslund, & Mohan M. Trivedi. (2016). Vision for Looking at Traffic Lights: Issues, Survey, and Perspectives. IEEE Transactions on Intelligent Transportation Systems. 17(7). 1800–1815. 172 indexed citations
16.
Philipsen, Mark Philip, Morten B. Jensen, Andreas Møgelmose, Thomas B. Moeslund, & Mohan M. Trivedi. (2015). Traffic Light Detection: A Learning Algorithm and Evaluations on Challenging Dataset. VBN Forskningsportal (Aalborg Universitet). 2341–2345. 61 indexed citations
17.
Philipsen, Mark Philip, Morten B. Jensen, Mohan M. Trivedi, Andreas Møgelmose, & Thomas B. Moeslund. (2015). 12th IEEE International Conference on Advanced Video and Signal based Surveillance, 2015. VBN Forskningsportal (Aalborg Universitet). 25 indexed citations
18.
Philipsen, Mark Philip, Morten B. Jensen, Mohan M. Trivedi, Andreas Møgelmose, & Thomas B. Moeslund. (2015). Ongoing work on traffic lights: Detection and evaluation. VBN Forskningsportal (Aalborg Universitet). 7. 1–6. 10 indexed citations
19.
Philipsen, Mark Philip, Morten B. Jensen, Ravi Kumar Satzoda, et al.. (2015). Day and night-time drive analysis using stereo vision for naturalistic driving studies. VBN Forskningsportal (Aalborg Universitet). 1226–1231. 8 indexed citations

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.

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