Orçun Göksel
- Biomedical Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Surgery
- Mechanics of Materials top 5%
- Co-authors
- Septimiu E. SalcudeanGábor SzékelySergio J. SanabriaValery VishnevskiyTobias GassChristine TannerMarga B. RomingerSimon DiMaio
- Topics
- Ultrasound Imaging and Elastography (43 papers)Medical Image Segmentation Techniques (28 papers)Photoacoustic and Ultrasonic Imaging (20 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionBiomedical Engineering
- Partner nations
- SwitzerlandCanadaSweden
In The Last Decade
Orçun Göksel
127 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 127
- Biomedical Engineering 841
- Radiology, Nuclear Medicine and Imaging 795
- Computer Vision and Pattern Recognition 426
- Surgery 247
- Mechanics of Materials 217
Countries citing papers authored by Orçun Göksel
This map shows the geographic impact of Orçun Göksel'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 Orçun Göksel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Orçun Göksel more than expected).
Fields of papers citing papers by Orçun Göksel
This network shows the impact of papers produced by Orçun Göksel. 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 Orçun Göksel. The network helps show where Orçun Göksel may publish in the future.
Co-authorship network of co-authors of Orçun Göksel
This figure shows the co-authorship network connecting the top 25 collaborators of Orçun Göksel. A scholar is included among the top collaborators of Orçun Göksel 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 Orçun Göksel. Orçun Göksel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 17 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology. | 3 |
| 11 | 3 | |
| 12 | 16 | |
| 13 | 11 | |
| 14 | 15 | |
| 15 | 108 | |
| 16 | 72 | |
| 17 | 22 | |
| 18 | 44 | |
| 19 | 17 | |
| 20 | 38 |
About Orçun Göksel
Orçun Göksel is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 129 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (43 papers), Medical Image Segmentation Techniques (28 papers) and Photoacoustic and Ultrasonic Imaging (20 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (795 citations), Computer Vision and Pattern Recognition (426 citations) and Biomedical Engineering (841 citations). Orçun Göksel has collaborated with scholars based in Switzerland, Canada and Sweden. Frequent co-authors include Septimiu E. Salcudean, Gábor Székely, Sergio J. Sanabria, Valery Vishnevskiy, Tobias Gass, Christine Tanner, Marga B. Rominger, Simon DiMaio, Ehsan Dehghan and Richard Rau. Their work appears in journals such as Nature Communications, NeuroImage and IEEE Transactions on Image Processing.
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.