Sebastian Buck
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Aerospace Engineering top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Thorsten SchmittMichael BeetzRobert HanekAndreas ZellBernd RadigAndrew JardineDragan BanjevićS. A. Saleh
- Topics
- Robotic Path Planning Algorithms (13 papers)Robotics and Sensor-Based Localization (7 papers)Control and Dynamics of Mobile Robots (4 papers)
- Cited by
- Medical Laboratory TechnologyComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
In The Last Decade
Sebastian Buck
30 papers receiving 341 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 143
- Control and Systems Engineering 117
- Aerospace Engineering 88
- Artificial Intelligence 72
- Electrical and Electronic Engineering 64
Countries citing papers authored by Sebastian Buck
This map shows the geographic impact of Sebastian Buck'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 Sebastian Buck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Buck more than expected).
Fields of papers citing papers by Sebastian Buck
This network shows the impact of papers produced by Sebastian Buck. 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 Sebastian Buck. The network helps show where Sebastian Buck may publish in the future.
Co-authorship network of co-authors of Sebastian Buck
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Buck. A scholar is included among the top collaborators of Sebastian Buck 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 Sebastian Buck. Sebastian Buck 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 | 1 | |
| 3 | 3 | |
| 4 | 21 | |
| 5 | 0 | |
| 6 | 17 | |
| 7 | 20 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | Autonomous person following with 3D LIDAR in outdoor environment | 5 |
| 14 | 6 | |
| 15 | 9 | |
| 16 | 12 | |
| 17 | Reliable Multi Robot Coordination Using Minimal Communication and Neural Prediction | 5 |
| 18 | 18 | |
| 19 | Towards RoboCup without Color Labeling | 3 |
| 20 | 6 |
About Sebastian Buck
Sebastian Buck is a scholar working on Computer Vision and Pattern Recognition, Medical Laboratory Technology and Control and Systems Engineering, having authored 31 papers that have together received 376 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (13 papers), Robotics and Sensor-Based Localization (7 papers) and Control and Dynamics of Mobile Robots (4 papers). The work is most often cited by research in Medical Laboratory Technology (11 citations), Computer Vision and Pattern Recognition (143 citations) and Safety, Risk, Reliability and Quality (59 citations). Sebastian Buck has collaborated with scholars based in Germany, Sweden and Canada. Frequent co-authors include Thorsten Schmitt, Michael Beetz, Robert Hanek, Andreas Zell, Bernd Radig, Andrew Jardine, Dragan Banjević, S. A. Saleh, Matthieu Herrb and Rainer Malaka. Their work appears in journals such as IEEE Transactions on Industry Applications, The International Journal of Robotics Research and Journal of Orthopaedic Research®.
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.