Paul Wohlhart
- Computer Vision and Pattern Recognition top 0.5%
- Biomedical Engineering top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Human-Computer Interaction top 2%
- Co-authors
- Horst BischofPeter M. RothMartin KöstingerMartin HirzerVincent LepetitMarkus OberwegerSamuel SchulterChristian Leistner
- Topics
- Advanced Image and Video Retrieval Techniques (8 papers)Face and Expression Recognition (6 papers)Face recognition and analysis (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencearXiv (Cornell University)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Paul Wohlhart
15 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 1.9k
- Biomedical Engineering 504
- Artificial Intelligence 233
- Signal Processing 232
- Human-Computer Interaction 184
Countries citing papers authored by Paul Wohlhart
This map shows the geographic impact of Paul Wohlhart'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 Paul Wohlhart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Wohlhart more than expected).
Fields of papers citing papers by Paul Wohlhart
This network shows the impact of papers produced by Paul Wohlhart. 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 Paul Wohlhart. The network helps show where Paul Wohlhart may publish in the future.
Co-authorship network of co-authors of Paul Wohlhart
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Wohlhart. A scholar is included among the top collaborators of Paul Wohlhart 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 Paul Wohlhart. Paul Wohlhart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards | 3 |
| 2 | 0 | |
| 3 | 160 | |
| 4 | 27 | |
| 5 | 10 | |
| 6 | 42 | |
| 7 | 31 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | Large scale metric learning from equivalence constraintsbreakdown → | 1120 |
| 11 | Robust face detection by simple means | 6 |
| 12 | Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localizationbreakdown → | 635 |
| 13 | 7 | |
| 14 | Open Source Intelligence am Beispiel von KIRAS MDL: Multimedia Documentation Lab | 1 |
| 15 | 2 | |
| 16 | 7 |
About Paul Wohlhart
Paul Wohlhart is a scholar working on Computer Vision and Pattern Recognition, Museology and Human-Computer Interaction, having authored 16 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Face and Expression Recognition (6 papers) and Face recognition and analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Human-Computer Interaction (184 citations) and Signal Processing (232 citations). Paul Wohlhart has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Horst Bischof, Peter M. Roth, Martin Köstinger, Martin Hirzer, Vincent Lepetit, Markus Oberweger, Samuel Schulter, Christian Leistner, Amir Saffari and Michael Donoser. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and arXiv (Cornell University).
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.