Utku Köse

105 papers and 1.2k indexed citations i.

About

Utku Köse is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Utku Köse has authored 105 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Utku Köse’s work include COVID-19 diagnosis using AI (7 papers), Artificial Intelligence in Healthcare (6 papers) and Online and Blended Learning (6 papers). Utku Köse is often cited by papers focused on COVID-19 diagnosis using AI (7 papers), Artificial Intelligence in Healthcare (6 papers) and Online and Blended Learning (6 papers). Utku Köse collaborates with scholars based in Türkiye, India and Mexico. Utku Köse's co-authors include Ömer Deperlioğlu, D. Jude Hemanth, José Antonio Marmolejo-Saucedo, Ahmet Arslan, Deepak Gupta, Jafar A. Alzubi, Suyash Bhardwaj, Ashish Khanna, Pandian Vasant and Mohammad A. Hassonah and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Energies.

In The Last Decade

Co-authorship network of co-authors of Utku Köse i

Fields of papers citing papers by Utku Köse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Utku Köse

Since Specialization
Citations

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