Hüseyin Tek

13 papers and 443 indexed citations i.

About

Hüseyin Tek is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Hüseyin Tek has authored 13 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Hüseyin Tek’s work include Medical Image Segmentation Techniques (7 papers), Image Retrieval and Classification Techniques (3 papers) and Image and Object Detection Techniques (2 papers). Hüseyin Tek is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Image Retrieval and Classification Techniques (3 papers) and Image and Object Detection Techniques (2 papers). Hüseyin Tek collaborates with scholars based in United States and Germany. Hüseyin Tek's co-authors include Benjamin B. Kimia, Mehmet Gulsun, Jacky C. P. Chan, Joseph J. Crisco, Thomas Sebastian, Gareth Funka-Lea, Yefeng Zheng, Til Aach, Andrew F. Laine and Noah Lee and has published in prestigious journals such as International Journal of Computer Vision, Medical Image Analysis and Computer Vision and Image Understanding.

In The Last Decade

Co-authorship network of co-authors of Hüseyin Tek i

Fields of papers citing papers by Hüseyin Tek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hüseyin Tek. 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 Hüseyin Tek. The network helps show where Hüseyin Tek may publish in the future.

Countries citing papers authored by Hüseyin Tek

Since Specialization
Citations

This map shows the geographic impact of Hüseyin Tek'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 Hüseyin Tek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hüseyin Tek 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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