Joes Staal
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Computer Vision and Pattern Recognition top 0.2%
- Ophthalmology top 0.1%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Co-authors
- Bram van GinnekenMichael D. AbràmoffMeindert NiemeijerMax A. ViergeverMarco LoogBart M. ter Haar RomenyMaria S.A. Suttorp-SchultenAlejandro F. Frangi
- Topics
- Medical Image Segmentation Techniques (7 papers)Retinal Imaging and Analysis (5 papers)Retinal Diseases and Treatments (5 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Medical ImagingMedical Image Analysis
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Joes Staal
12 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Radiology, Nuclear Medicine and Imaging 3.6k
- Computer Vision and Pattern Recognition 2.7k
- Ophthalmology 2.5k
- Artificial Intelligence 375
- Biomedical Engineering 262
Countries citing papers authored by Joes Staal
This map shows the geographic impact of Joes Staal'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 Joes Staal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joes Staal more than expected).
Fields of papers citing papers by Joes Staal
This network shows the impact of papers produced by Joes Staal. 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 Joes Staal. The network helps show where Joes Staal may publish in the future.
Co-authorship network of co-authors of Joes Staal
This figure shows the co-authorship network connecting the top 25 collaborators of Joes Staal. A scholar is included among the top collaborators of Joes Staal 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 Joes Staal. Joes Staal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 42 | |
| 3 | 7 | |
| 4 | 391 | |
| 5 | Automatic Detection of Red Lesions in Digital Color | 5 |
| 6 | Comparative study of retinal vessel segmentation methods on a new publicly available databasebreakdown → | 585 |
| 7 | Ridge-Based Vessel Segmentation in Color Images of the Retinabreakdown → | 2787 |
| 8 | 5 | |
| 9 | 20 | |
| 10 | 364 | |
| 11 | 3 | |
| 12 | 22 |
About Joes Staal
Joes Staal is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 4.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Retinal Imaging and Analysis (5 papers) and Retinal Diseases and Treatments (5 papers). The work is most often cited by research in Ophthalmology (2.5k citations), Radiology, Nuclear Medicine and Imaging (3.6k citations) and Computer Vision and Pattern Recognition (2.7k citations). Joes Staal has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Bram van Ginneken, Michael D. Abràmoff, Meindert Niemeijer, Max A. Viergever, Marco Loog, Bart M. ter Haar Romeny, Maria S.A. Suttorp-Schulten, Alejandro F. Frangi, Stiliyan Kalitzin and Alan Brett. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Medical Image Analysis.
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.