Evgin Göçeri
About
In The Last Decade
Evgin Göçeri
51 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 713
- Artificial Intelligence 663
- Radiology, Nuclear Medicine and Imaging 628
- Oncology 282
- Biomedical Engineering 250
Countries citing papers authored by Evgin Göçeri
This map shows the geographic impact of Evgin Göçeri'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 Evgin Göçeri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evgin Göçeri more than expected).
Fields of papers citing papers by Evgin Göçeri
This network shows the impact of papers produced by Evgin Göçeri. 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 Evgin Göçeri. The network helps show where Evgin Göçeri may publish in the future.
Co-authorship network of co-authors of Evgin Göçeri
This figure shows the co-authorship network connecting the top 25 collaborators of Evgin Göçeri. A scholar is included among the top collaborators of Evgin Göçeri 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 Evgin Göçeri. Evgin Göçeri 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 | 42 | |
| 4 | 39 | |
| 5 | 21 | |
| 6 | 31 | |
| 7 | Polyp Segmentation Using a Hybrid Vision Transformer and a Hybrid Loss Function breakdown → | 51 |
| 8 | 50 | |
| 9 | 49 | |
| 10 | Medical image data augmentation: techniques, comparisons and interpretations breakdown → | 204 |
| 11 | 96 | |
| 12 | 21 | |
| 13 | 72 | |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 7 | |
| 17 | 37 | |
| 18 | 57 | |
| 19 | 3 | |
| 20 | 30 |
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.