Ziynet Pamuk

5 papers and 817 indexed citations i.

About

Ziynet Pamuk is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ziynet Pamuk has authored 5 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ziynet Pamuk’s work include COVID-19 diagnosis using AI (2 papers), Artificial Intelligence in Healthcare (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Ziynet Pamuk is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Artificial Intelligence in Healthcare (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Ziynet Pamuk collaborates with scholars based in Türkiye. Ziynet Pamuk's co-authors include Ali Narin and Ceren Kaya and has published in prestigious journals such as Pattern Analysis and Applications, arXiv (Cornell University) and Balkan Journal of Electrical and Computer Engineering.

In The Last Decade

Co-authorship network of co-authors of Ziynet Pamuk i

Fields of papers citing papers by Ziynet Pamuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ziynet Pamuk

Since Specialization
Citations

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