Rüdiger Bock
- Radiology, Nuclear Medicine and Imaging top 2%
- Ophthalmology top 1%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Joachim HorneggerGeorg MichelsonAttila BudaiAnatol MaierJörg MeierLászló G. NyúlMarkus A. MayerR. P. Tornow
- Topics
- Retinal Imaging and Analysis (3 papers)Retinal Diseases and Treatments (3 papers)Glaucoma and retinal disorders (3 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- American Journal of OphthalmologyInvestigative Ophthalmology & Visual ScienceBritish Journal of Ophthalmology
- Partner nations
- GermanyHungaryUnited States
In The Last Decade
Rüdiger Bock
7 papers receiving 785 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Radiology, Nuclear Medicine and Imaging 770
- Ophthalmology 603
- Computer Vision and Pattern Recognition 436
- Biomedical Engineering 55
- Artificial Intelligence 44
Countries citing papers authored by Rüdiger Bock
This map shows the geographic impact of Rüdiger Bock'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 Rüdiger Bock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rüdiger Bock more than expected).
Fields of papers citing papers by Rüdiger Bock
This network shows the impact of papers produced by Rüdiger Bock. 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 Rüdiger Bock. The network helps show where Rüdiger Bock may publish in the future.
Co-authorship network of co-authors of Rüdiger Bock
This figure shows the co-authorship network connecting the top 25 collaborators of Rüdiger Bock. A scholar is included among the top collaborators of Rüdiger Bock 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 Rüdiger Bock. Rüdiger Bock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Robust Vessel Segmentation in Fundus Imagesbreakdown → | 424 |
| 2 | 72 | |
| 3 | 271 | |
| 4 | Automatic Nerve Fiber Layer Segmentation and Geometry Correction on Spectral Domain OCT Images Using Fuzzy C-Means Clustering | 16 |
| 5 | 13 | |
| 6 | 25 | |
| 7 | 31 | |
| 8 | 1 |
About Rüdiger Bock
Rüdiger Bock is a scholar working on Ophthalmology, Toxicology and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 853 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (3 papers), Retinal Diseases and Treatments (3 papers) and Glaucoma and retinal disorders (3 papers). The work is most often cited by research in Ophthalmology (603 citations), Radiology, Nuclear Medicine and Imaging (770 citations) and Computer Vision and Pattern Recognition (436 citations). Rüdiger Bock has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Joachim Hornegger, Georg Michelson, Attila Budai, Anatol Maier, Jörg Meier, László G. Nyúl, Markus A. Mayer and R. P. Tornow. Their work appears in journals such as American Journal of Ophthalmology, Investigative Ophthalmology & Visual Science and British Journal of Ophthalmology.
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.