İlkay Öksüz
- Radiology, Nuclear Medicine and Imaging top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Umut UğurluOktay TaşAndrew P. KingJulia A. SchnabelJames R. CloughVeronika A. ZimmerNick ByrneBram Ruijsink
- Topics
- Radiomics and Machine Learning in Medical Imaging (11 papers)Cardiac Imaging and Diagnostics (8 papers)Advanced MRI Techniques and Applications (8 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceScientific Reports
- Partner nations
- TürkiyeUnited KingdomUnited States
In The Last Decade
İlkay Öksüz
44 papers receiving 721 citations
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 274
- Electrical and Electronic Engineering 219
- Computer Vision and Pattern Recognition 131
- Artificial Intelligence 124
- Biomedical Engineering 101
Countries citing papers authored by İlkay Öksüz
This map shows the geographic impact of İlkay Öksüz'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 İlkay Öksüz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites İlkay Öksüz more than expected).
Fields of papers citing papers by İlkay Öksüz
This network shows the impact of papers produced by İlkay Öksüz. 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 İlkay Öksüz. The network helps show where İlkay Öksüz may publish in the future.
Co-authorship network of co-authors of İlkay Öksüz
This figure shows the co-authorship network connecting the top 25 collaborators of İlkay Öksüz. A scholar is included among the top collaborators of İlkay Öksüz 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 İlkay Öksüz. İlkay Öksüz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 0 | |
| 11 | Explainable Image Quality Analysis of Chest X-Rays | 3 |
| 12 | 35 | |
| 13 | 11 | |
| 14 | 35 | |
| 15 | Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology | 1 |
| 16 | Artefact detection in video endoscopy using retinanet and focal loss function | 2 |
| 17 | 104 | |
| 18 | 23 | |
| 19 | 178 | |
| 20 | 3 |
About İlkay Öksüz
İlkay Öksüz is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 743 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Cardiac Imaging and Diagnostics (8 papers) and Advanced MRI Techniques and Applications (8 papers). The work is most often cited by research in Health Informatics (39 citations), Radiology, Nuclear Medicine and Imaging (274 citations) and Computer Vision and Pattern Recognition (131 citations). İlkay Öksüz has collaborated with scholars based in Türkiye, United Kingdom and United States. Frequent co-authors include Umut Uğurlu, Oktay Taş, Andrew P. King, Julia A. Schnabel, James R. Clough, Veronika A. Zimmer, Nick Byrne, Bram Ruijsink, Esther Puyol‐Antón and Wenjia Bai. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.