İmam Şamil Yetik

45 papers and 587 indexed citations i.

About

İmam Şamil Yetik is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, İmam Şamil Yetik has authored 45 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 13 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Signal Processing. Recurrent topics in İmam Şamil Yetik’s work include Medical Image Segmentation Techniques (12 papers), AI in cancer detection (7 papers) and Mathematical Analysis and Transform Methods (6 papers). İmam Şamil Yetik is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), AI in cancer detection (7 papers) and Mathematical Analysis and Transform Methods (6 papers). İmam Şamil Yetik collaborates with scholars based in United States, Türkiye and Argentina. İmam Şamil Yetik's co-authors include Arye Nehorai, Masoom A. Haider, Deanna L. Langer, Miles N. Wernick, Yongyi Yang, Andrew Evans, Yusuf Artan, Theodorus van der Kwast, Haldun M. Özaktaş and Xin Liu and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of İmam Şamil Yetik i

Fields of papers citing papers by İmam Şamil Yetik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by İmam Şamil Yetik. 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 İmam Şamil Yetik. The network helps show where İmam Şamil Yetik may publish in the future.

Countries citing papers authored by İmam Şamil Yetik

Since Specialization
Citations

This map shows the geographic impact of İmam Şamil Yetik'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 İmam Şamil Yetik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites İmam Şamil Yetik more than expected).

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.

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