Thomas Dall Larsen
- Control and Systems Engineering top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Topics
- Robotics and Sensor-Based Localization (5 papers)Target Tracking and Data Fusion in Sensor Networks (4 papers)Robotic Path Planning Algorithms (4 papers)
- Cited by
- Control and Systems EngineeringAerospace EngineeringComputer Vision and Pattern Recognition
- Journals
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
- Partner nations
- Denmark
In The Last Decade
Thomas Dall Larsen
8 papers receiving 305 citations
Peers
Comparison fields: 5 of 44
- Control and Systems Engineering 158
- Aerospace Engineering 153
- Artificial Intelligence 118
- Computer Vision and Pattern Recognition 101
- Computer Networks and Communications 57
Countries citing papers authored by Thomas Dall Larsen
This map shows the geographic impact of Thomas Dall Larsen'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 Thomas Dall Larsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Dall Larsen more than expected).
Fields of papers citing papers by Thomas Dall Larsen
This network shows the impact of papers produced by Thomas Dall Larsen. 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 Thomas Dall Larsen. The network helps show where Thomas Dall Larsen may publish in the future.
Co-authorship network of co-authors of Thomas Dall Larsen
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Dall Larsen. A scholar is included among the top collaborators of Thomas Dall Larsen 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 Thomas Dall Larsen. Thomas Dall Larsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 183 | |
| 5 | Optimal Fusion of Sensors | 14 |
| 6 | 2 | |
| 7 | Sensor management for identity fusion on a mobile robot | 2 |
| 8 | Location Estimation for an Autonomously Guided Vehicle using an Augmented Kalman Filter to Autocalibrate the Odometry | 58 |
About Thomas Dall Larsen
Thomas Dall Larsen is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 8 papers that have together received 325 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Control and Systems Engineering (158 citations), Aerospace Engineering (153 citations) and Computer Vision and Pattern Recognition (101 citations). Thomas Dall Larsen has collaborated with scholars based in Denmark. Frequent co-authors include N. Andersen, Ole Ravn, Niels Kjølstad Poulsen, Martin Bak, Kristoffer Lindskov Hansen and M. Nørgaard. Their work appears in journals such as Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.