Tobias Kaupp
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Alexei MakarenkoAlex BrooksHugh Durrant‐WhyteStefan B. WilliamsAnders OrebäckBen UpcroftFábio RamosSamuel Kounev
- Topics
- Target Tracking and Data Fusion in Sensor Networks (10 papers)Robot Manipulation and Learning (8 papers)Robotics and Sensor-Based Localization (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringArtificial Intelligence
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Tobias Kaupp
30 papers receiving 370 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 173
- Control and Systems Engineering 128
- Computer Vision and Pattern Recognition 120
- Mechanical Engineering 72
- Computer Networks and Communications 69
Countries citing papers authored by Tobias Kaupp
This map shows the geographic impact of Tobias Kaupp'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 Tobias Kaupp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Kaupp more than expected).
Fields of papers citing papers by Tobias Kaupp
This network shows the impact of papers produced by Tobias Kaupp. 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 Tobias Kaupp. The network helps show where Tobias Kaupp may publish in the future.
Co-authorship network of co-authors of Tobias Kaupp
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Kaupp. A scholar is included among the top collaborators of Tobias Kaupp 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 Tobias Kaupp. Tobias Kaupp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | Decentralised data fusion: A graphical model approach | 18 |
| 13 | Bayesian filtering over compressed appearance states | 1 |
| 14 | 22 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 10 | |
| 18 | 14 | |
| 19 | 122 | |
| 20 | 10 |
About Tobias Kaupp
Tobias Kaupp is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 33 papers that have together received 399 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Robot Manipulation and Learning (8 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (120 citations), Control and Systems Engineering (128 citations) and Artificial Intelligence (173 citations). Tobias Kaupp has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Alexei Makarenko, Alex Brooks, Hugh Durrant‐Whyte, Stefan B. Williams, Anders Orebäck, Ben Upcroft, Fábio Ramos, Samuel Kounev, Bertrand Douillard and Norbert Strobel. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Software and IEEE Robotics and Automation Letters.
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.