Sascha Kolski
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 5%
- Aerospace Engineering top 10%
- Control and Systems Engineering
- Artificial Intelligence
- Co-authors
- Dave FergusonRoland SiegwartMichael DarmsChris UrmsonKristijan MačekBrian P. WilliamsRoland PhilippsenB. Jensen
- Topics
- Robotics and Sensor-Based Localization (14 papers)Robotic Path Planning Algorithms (13 papers)Autonomous Vehicle Technology and Safety (9 papers)
- Journals
- Journal of the Brazilian Society of Mechanical Sciences and EngineeringInfoscience (Ecole Polytechnique Fédérale de Lausanne)Repository for Publications and Research Data (ETH Zurich)
- Partner nations
- SwitzerlandUnited StatesSweden
In The Last Decade
Sascha Kolski
16 papers receiving 300 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 228
- Automotive Engineering 188
- Aerospace Engineering 117
- Control and Systems Engineering 60
- Artificial Intelligence 37
Countries citing papers authored by Sascha Kolski
This map shows the geographic impact of Sascha Kolski'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 Sascha Kolski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sascha Kolski more than expected).
Fields of papers citing papers by Sascha Kolski
This network shows the impact of papers produced by Sascha Kolski. 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 Sascha Kolski. The network helps show where Sascha Kolski may publish in the future.
Co-authorship network of co-authors of Sascha Kolski
This figure shows the co-authorship network connecting the top 25 collaborators of Sascha Kolski. A scholar is included among the top collaborators of Sascha Kolski 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 Sascha Kolski. Sascha Kolski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | Mobile Robot Planning in Dynamic Environments and on Growable Costmaps | 9 |
| 3 | 100 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 11 | |
| 7 | The use of Obstacle Motion Tracking for Car-like Mobile Robots Collision Avoidance in Dynamic Urban Environments | 3 |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 42 | |
| 11 | 6 | |
| 12 | 42 | |
| 13 | 18 | |
| 14 | 8 | |
| 15 | 11 | |
| 16 | 45 |
About Sascha Kolski
Sascha Kolski is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering, having authored 16 papers that have together received 326 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Robotic Path Planning Algorithms (13 papers) and Autonomous Vehicle Technology and Safety (9 papers). The work is most often cited by research in Automotive Engineering (188 citations), Computer Vision and Pattern Recognition (228 citations) and Aerospace Engineering (117 citations). Sascha Kolski has collaborated with scholars based in Switzerland, United States and Sweden. Frequent co-authors include Dave Ferguson, Roland Siegwart, Michael Darms, Chris Urmson, Kristijan Maček, Brian P. Williams, Roland Philippsen, B. Jensen, Wolfram Burgard and Jan Weingarten. Their work appears in journals such as Journal of the Brazilian Society of Mechanical Sciences and Engineering, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Repository for Publications and Research Data (ETH Zurich).
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.