Tolga Çukur
- Radiology, Nuclear Medicine and Imaging top 1%
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Co-authors
- Onat DalmazMahmut YurtDwight G. NishimuraJack L. GallantAlexander G. HuthShinji NishimotoMuzaffer ÖzbeyŞaban Öztürk
- Topics
- Advanced MRI Techniques and Applications (44 papers)Medical Imaging Techniques and Applications (14 papers)Advanced Neuroimaging Techniques and Applications (14 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionCognitive Neuroscience
- Partner nations
- TürkiyeUnited StatesGermany
In The Last Decade
Tolga Çukur
95 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Radiology, Nuclear Medicine and Imaging 1.0k
- Computer Vision and Pattern Recognition 540
- Cognitive Neuroscience 398
- Artificial Intelligence 362
- Biomedical Engineering 359
Countries citing papers authored by Tolga Çukur
This map shows the geographic impact of Tolga Çukur'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 Tolga Çukur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tolga Çukur more than expected).
Fields of papers citing papers by Tolga Çukur
This network shows the impact of papers produced by Tolga Çukur. 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 Tolga Çukur. The network helps show where Tolga Çukur may publish in the future.
Co-authorship network of co-authors of Tolga Çukur
This figure shows the co-authorship network connecting the top 25 collaborators of Tolga Çukur. A scholar is included among the top collaborators of Tolga Çukur 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 Tolga Çukur. Tolga Çukur 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 | 11 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 13 | |
| 6 | 30 | |
| 7 | 7 | |
| 8 | Adaptive diffusion priors for accelerated MRI reconstructionbreakdown → | 140 |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 49 | |
| 12 | 52 | |
| 13 | 78 | |
| 14 | ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesisbreakdown → | 303 |
| 15 | 11 | |
| 16 | 21 | |
| 17 | 2 | |
| 18 | 99 | |
| 19 | 23 | |
| 20 | 23 |
About Tolga Çukur
Tolga Çukur is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Acoustics and Ultrasonics, having authored 105 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (44 papers), Medical Imaging Techniques and Applications (14 papers) and Advanced Neuroimaging Techniques and Applications (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.0k citations), Computer Vision and Pattern Recognition (540 citations) and Cognitive Neuroscience (398 citations). Tolga Çukur has collaborated with scholars based in Türkiye, United States and Germany. Frequent co-authors include Onat Dalmaz, Mahmut Yurt, Dwight G. Nishimura, Jack L. Gallant, Alexander G. Huth, Shinji Nishimoto, Muzaffer Özbey, Şaban Öztürk, Alper Güngör and Salman Ul Hassan Dar. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience and NeuroImage.
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.