Olivier Pauly
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Surgery
- Artificial Intelligence
- Co-authors
- Nassir NavabDiana MateusMartin BokelohStefan HinterstoißerBen GlockerAntonio CriminisiStephan G. NekollaAnnika Plate
- Topics
- Medical Image Segmentation Techniques (7 papers)Advanced Image and Video Retrieval Techniques (4 papers)AI in cancer detection (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionHealth InformaticsRadiology, Nuclear Medicine and Imaging
In The Last Decade
Olivier Pauly
20 papers receiving 348 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 179
- Biomedical Engineering 93
- Radiology, Nuclear Medicine and Imaging 72
- Surgery 70
- Artificial Intelligence 54
Countries citing papers authored by Olivier Pauly
This map shows the geographic impact of Olivier Pauly'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 Olivier Pauly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Pauly more than expected).
Fields of papers citing papers by Olivier Pauly
This network shows the impact of papers produced by Olivier Pauly. 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 Olivier Pauly. The network helps show where Olivier Pauly may publish in the future.
Co-authorship network of co-authors of Olivier Pauly
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Pauly. A scholar is included among the top collaborators of Olivier Pauly 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 Olivier Pauly. Olivier Pauly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | 18 | |
| 3 | 33 | |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 23 | |
| 9 | 24 | |
| 10 | Random Forests for Medical Applications | 11 |
| 11 | 11 | |
| 12 | 73 | |
| 13 | 4 | |
| 14 | ImageCLEF 2010 Working Notes on the Modality Classification Subtask. | 1 |
| 15 | 30 | |
| 16 | 30 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 7 |
About Olivier Pauly
Olivier Pauly is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering, having authored 20 papers that have together received 360 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Advanced Image and Video Retrieval Techniques (4 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (179 citations), Health Informatics (5 citations) and Radiology, Nuclear Medicine and Imaging (72 citations). Olivier Pauly has collaborated with scholars based in Germany, Türkiye and Iran. Frequent co-authors include Nassir Navab, Diana Mateus, Martin Bokeloh, Stefan Hinterstoißer, Ben Glocker, Antonio Criminisi, Stephan G. Nekolla, Annika Plate, Seyed‐Ahmad Ahmadi and Axel Möller. Their work appears in journals such as Ultrasound in Medicine & Biology, Lecture notes in computer science and Computerized Medical Imaging and Graphics.
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.