Stefan Zickler
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Aerospace Engineering
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Co-authors
- Manuela VelosoJames BruceAlexei A. EfrosChristopher GeyerHyun Oh SongPedro F. FelzenszwalbRoss GirshickTrevor Darrell
- Topics
- Robotics and Sensor-Based Localization (6 papers)Robotic Path Planning Algorithms (6 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceComputer Graphics ForumInternational Journal of Humanoid Robotics
- Partner nations
- United StatesFrance
In The Last Decade
Stefan Zickler
11 papers receiving 130 citations
Peers
Comparison fields: 5 of 28
- Computer Vision and Pattern Recognition 91
- Artificial Intelligence 47
- Aerospace Engineering 46
- Control and Systems Engineering 27
- Electrical and Electronic Engineering 23
Countries citing papers authored by Stefan Zickler
This map shows the geographic impact of Stefan Zickler'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 Stefan Zickler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Zickler more than expected).
Fields of papers citing papers by Stefan Zickler
This network shows the impact of papers produced by Stefan Zickler. 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 Stefan Zickler. The network helps show where Stefan Zickler may publish in the future.
Co-authorship network of co-authors of Stefan Zickler
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Zickler. A scholar is included among the top collaborators of Stefan Zickler 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 Stefan Zickler. Stefan Zickler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 4 | |
| 3 | 27 | |
| 4 | Efficient physics-based planning: sampling search via non-deterministic tactics and skills | 23 |
| 5 | CMDragons 2009 Extended Team Description | 6 |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | Detection of multiple deformable objects using PCA-SIFT | 10 |
| 10 | CMDragons 2007 Team Description | 7 |
| 11 | 27 |
About Stefan Zickler
Stefan Zickler is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence, having authored 11 papers that have together received 141 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (6 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (91 citations), Aerospace Engineering (46 citations) and Artificial Intelligence (47 citations). Stefan Zickler has collaborated with scholars based in United States and France. Frequent co-authors include Manuela Veloso, James Bruce, Alexei A. Efros, Christopher Geyer, Hyun Oh Song, Pedro F. Felzenszwalb, Ross Girshick, Trevor Darrell, Douglas L. Vail and Elisabeth Crawford. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Graphics Forum and International Journal of Humanoid Robotics.
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.