Şaban Öztürk

55 papers and 1.2k indexed citations i.

About

Şaban Öztürk is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Şaban Öztürk has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Şaban Öztürk’s work include AI in cancer detection (16 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Image Retrieval and Classification Techniques (9 papers). Şaban Öztürk is often cited by papers focused on AI in cancer detection (16 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Image Retrieval and Classification Techniques (9 papers). Şaban Öztürk collaborates with scholars based in Türkiye, Saudi Arabia and India. Şaban Öztürk's co-authors include Bayram Akdemïr, Umut Özkaya, Tolga Çukur, Kemal Polat, Majid Nour, Mücahid Barstuğan, Hatem F. Sindi, Muhyaddin Rawa, Muzaffer Özbey and Salman Ul Hassan Dar and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Şaban Öztürk i

Fields of papers citing papers by Şaban Öztürk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Şaban Öztürk

Since Specialization
Citations

This map shows the geographic impact of Şaban Öztürk'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 Şaban Öztürk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Şaban Öztürk 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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2025