David Weikersdorfer
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering top 10%
- Control and Systems Engineering
- Cognitive Neuroscience
- Co-authors
- Jörg ConradtDaniel CremersMichael BeetzMichael UlbrichSebastian AlbrechtKarinne Ramírez-AmaroMarion LeiboldAlexander Schick
- Topics
- Robotics and Sensor-Based Localization (5 papers)Advanced Image and Video Retrieval Techniques (4 papers)Underwater Vehicles and Communication Systems (3 papers)
- Journals
- PubMedFraunhofer-Publica (Fraunhofer-Gesellschaft)
- Partner nations
- GermanyUnited States
In The Last Decade
David Weikersdorfer
8 papers receiving 220 citations
Peers
Comparison fields: 5 of 46
- Electrical and Electronic Engineering 103
- Computer Vision and Pattern Recognition 92
- Aerospace Engineering 89
- Control and Systems Engineering 44
- Cognitive Neuroscience 34
Countries citing papers authored by David Weikersdorfer
This map shows the geographic impact of David Weikersdorfer'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 David Weikersdorfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Weikersdorfer more than expected).
Fields of papers citing papers by David Weikersdorfer
This network shows the impact of papers produced by David Weikersdorfer. 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 David Weikersdorfer. The network helps show where David Weikersdorfer may publish in the future.
Co-authorship network of co-authors of David Weikersdorfer
This figure shows the co-authorship network connecting the top 25 collaborators of David Weikersdorfer. A scholar is included among the top collaborators of David Weikersdorfer 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 David Weikersdorfer. David Weikersdorfer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 7 | |
| 3 | 92 | |
| 4 | 13 | |
| 5 | 10 | |
| 6 | Distinctive texture features from perspective-invariant keypoints | 7 |
| 7 | 42 | |
| 8 | 59 |
About David Weikersdorfer
David Weikersdorfer is a scholar working on Instrumentation, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 8 papers that have together received 235 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Underwater Vehicles and Communication Systems (3 papers). The work is most often cited by research in Instrumentation (20 citations), Computer Vision and Pattern Recognition (92 citations) and Aerospace Engineering (89 citations). David Weikersdorfer has collaborated with scholars based in Germany and United States. Frequent co-authors include Jörg Conradt, Daniel Cremers, Michael Beetz, Michael Ulbrich, Sebastian Albrecht, Karinne Ramírez-Amaro, Marion Leibold, Alexander Schick, David Gossow and Viviane S. Ghaderi. Their work appears in journals such as PubMed and Fraunhofer-Publica (Fraunhofer-Gesellschaft).
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.