Rolf P. Würtz
- Computer Vision and Pattern Recognition top 0.5%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Media Technology top 2%
- Co-authors
- Jan C. VorbrüggenWolfgang KonenJoachim M. BuhmannMartin LadesC. von der MalsburgDagmar WieczorekBernhard HorsthemkeChristoph von der Malsburg
- Topics
- Face and Expression Recognition (11 papers)Image Retrieval and Classification Techniques (11 papers)Advanced Image and Video Retrieval Techniques (11 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- GermanyNetherlandsSwitzerland
In The Last Decade
Rolf P. Würtz
49 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 1.3k
- Cognitive Neuroscience 339
- Artificial Intelligence 322
- Signal Processing 304
- Media Technology 199
Countries citing papers authored by Rolf P. Würtz
This map shows the geographic impact of Rolf P. Würtz'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 Rolf P. Würtz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rolf P. Würtz more than expected).
Fields of papers citing papers by Rolf P. Würtz
This network shows the impact of papers produced by Rolf P. Würtz. 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 Rolf P. Würtz. The network helps show where Rolf P. Würtz may publish in the future.
Co-authorship network of co-authors of Rolf P. Würtz
This figure shows the co-authorship network connecting the top 25 collaborators of Rolf P. Würtz. A scholar is included among the top collaborators of Rolf P. Würtz 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 Rolf P. Würtz. Rolf P. Würtz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 1 | |
| 3 | 30 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 64 | |
| 9 | 68 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 63 | |
| 13 | Communicating agents architecture with applications in multimodal human computer interaction | 1 |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 66 | |
| 17 | 6 | |
| 18 | 7 | |
| 19 | Neuronal theories and technical systems for face recognition. | 1 |
| 20 | Object recognition with Gabor functions in the dynamic link architecture: parallel implementation on a transputer network | 11 |
About Rolf P. Würtz
Rolf P. Würtz is a scholar working on Computer Vision and Pattern Recognition, Anatomy and Media Technology, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Image Retrieval and Classification Techniques (11 papers) and Advanced Image and Video Retrieval Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Signal Processing (304 citations) and Computational Mathematics (16 citations). Rolf P. Würtz has collaborated with scholars based in Germany, Netherlands and Switzerland. Frequent co-authors include Jan C. Vorbrüggen, Wolfgang Konen, Joachim M. Buhmann, Martin Lades, C. von der Malsburg, Dagmar Wieczorek, Bernhard Horsthemke, Christoph von der Malsburg, Kirstie L. Bellman and Sven Tomforde. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Journal of Clinical Endocrinology & Metabolism.
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.