David Gossow
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
- Human-Computer Interaction top 5%
Papers in
-
- Advanced Image and Video Retrieval Techniques 2
- Video Surveillance and Tracking Methods 1
- Image Retrieval and Classification Techniques 1
-
- Robotics and Sensor-Based Localization 5
- Co-authors
- Adam Leeper (3 shared papers)Matei Ciocarlie (3 shared papers)Kaijen Hsiao (2 shared papers)Radu Bogdan Rusu (1 shared paper)Gary Bradski (1 shared paper)Aitor Aldomà (1 shared paper)Suat Gedikli (1 shared paper)Markus Vincze (1 shared paper)
- Journals
- Advanced Robotics (1 paper)IEEE Robotics & Automation Magazine (1 paper)Conference on Colour in Graphics Imaging and Vision (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
David Gossow
8 papers receiving 440 citations
Peers
Comparison fields: 5 of 60
- Geology 80
- Human-Computer Interaction 66
- Computer Vision and Pattern Recognition 208
- Control and Systems Engineering 199
- Aerospace Engineering 186
Countries citing papers authored by David Gossow
This map shows the geographic impact of David Gossow'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 Gossow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gossow more than expected).
Fields of papers citing papers by David Gossow
This network shows the impact of papers produced by David Gossow. 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 Gossow. The network helps show where David Gossow may publish in the future.
Co-authors
The 16 scholars most cited alongside David Gossow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 205 | |
| 2 | 2012 | 127 | |
| 3 | 2011 | 54 | |
| 4 | 2012 | 53 | |
| 5 | 2008 | 12 | |
| 6 | Distinctive texture features from perspective-invariant keypoints | 2012 | 7 |
| 7 | 2009 | 5 | |
| 8 | 2010 | 1 |
About David Gossow
David Gossow is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Social Psychology and Safety, Risk, Reliability and Quality, having authored 8 papers that have together received 464 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Advanced Image and Video Retrieval Techniques (2 papers), Robot Manipulation and Learning (2 papers), Social Robot Interaction and HRI (2 papers), 3D Surveying and Cultural Heritage (1 paper), Fire Detection and Safety Systems (1 paper), Video Surveillance and Tracking Methods (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Geology (80 citations), Human-Computer Interaction (66 citations), Computer Vision and Pattern Recognition (208 citations), Control and Systems Engineering (199 citations) and Aerospace Engineering (186 citations). David Gossow has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Adam Leeper, Matei Ciocarlie, Kaijen Hsiao, Radu Bogdan Rusu, Gary Bradski, Aitor Aldomà, Suat Gedikli, Markus Vincze, Nico Blodow and Leila Takayama. Their work appears in journals such as Advanced Robotics, IEEE Robotics & Automation Magazine and Conference on Colour in Graphics Imaging and Vision.
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.