Çiğdem Gündüz-Demir

35 papers and 748 indexed citations i.

About

Çiğdem Gündüz-Demir is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Çiğdem Gündüz-Demir has authored 35 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Çiğdem Gündüz-Demir’s work include AI in cancer detection (20 papers), Medical Image Segmentation Techniques (12 papers) and Image Retrieval and Classification Techniques (9 papers). Çiğdem Gündüz-Demir is often cited by papers focused on AI in cancer detection (20 papers), Medical Image Segmentation Techniques (12 papers) and Image Retrieval and Classification Techniques (9 papers). Çiğdem Gündüz-Demir collaborates with scholars based in Türkiye, United States and Iran. Çiğdem Gündüz-Demir's co-authors include Cenk Sökmensüer, Akif Burak Tosun, Salim Arslan, Melih Kandemir, Emel Özyürek, Rengül Çetin-Atalay, Can Koyuncu, Tülin Erşahin, İrem Durmaz and Ellen Liebenberg and has published in prestigious journals such as PLoS ONE, Scientific Reports and Spine.

In The Last Decade

Co-authorship network of co-authors of Çiğdem Gündüz-Demir i

Fields of papers citing papers by Çiğdem Gündüz-Demir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Çiğdem Gündüz-Demir. 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 Çiğdem Gündüz-Demir. The network helps show where Çiğdem Gündüz-Demir may publish in the future.

Countries citing papers authored by Çiğdem Gündüz-Demir

Since Specialization
Citations

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