İmam Şamil Yetik

88 total papers · 1.1k total citations
66 papers, 785 citations indexed

About

İmam Şamil Yetik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, İmam Şamil Yetik has authored 66 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in İmam Şamil Yetik's work include Medical Image Segmentation Techniques (19 papers), AI in cancer detection (10 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). İmam Şamil Yetik is often cited by papers focused on Medical Image Segmentation Techniques (19 papers), AI in cancer detection (10 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). İmam Şamil Yetik collaborates with scholars based in United States, Türkiye and Canada. İmam Şamil Yetik's co-authors include Arye Nehorai, Masoom A. Haider, Deanna L. Langer, Miles N. Wernick, Yusuf Artan, Theodorus van der Kwast, Andrew Evans, Yongyi Yang, 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

İmam Şamil Yetik

56 papers receiving 750 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
İmam Şamil Yetik 372 259 210 203 118 66 785
Thomas Bülow 405 1.1× 118 0.5× 93 0.4× 48 0.2× 67 0.6× 31 764
Moumen El-Melegy 326 0.9× 159 0.6× 72 0.3× 183 0.9× 90 0.8× 71 657
Shiv Dutt Joshi 389 1.0× 136 0.5× 33 0.2× 141 0.7× 92 0.8× 66 882
Imants Svalbe 255 0.7× 260 1.0× 157 0.7× 41 0.2× 57 0.5× 63 748
Brian A. Telfer 165 0.4× 167 0.6× 55 0.3× 242 1.2× 132 1.1× 62 789
Marcello Salmeri 406 1.1× 218 0.8× 75 0.4× 483 2.4× 61 0.5× 74 807
Keith Brown 202 0.5× 42 0.2× 33 0.2× 142 0.7× 66 0.6× 86 889
Lin Qi 457 1.2× 37 0.1× 30 0.1× 162 0.8× 111 0.9× 116 813
Mohammad S. Alam 269 0.7× 238 0.9× 171 0.8× 142 0.7× 146 1.2× 64 880
Yi Xu 463 1.2× 99 0.4× 24 0.1× 172 0.8× 56 0.5× 43 752

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of İmam Şamil Yetik. A scholar is included among the top collaborators of İmam Şamil Yetik 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 İmam Şamil Yetik. İmam Şamil Yetik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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