Elif Keleş

29 papers and 176 indexed citations i.

About

Elif Keleş is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Elif Keleş has authored 29 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Artificial Intelligence. Recurrent topics in Elif Keleş’s work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (4 papers) and COVID-19 diagnosis using AI (4 papers). Elif Keleş is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (4 papers) and COVID-19 diagnosis using AI (4 papers). Elif Keleş collaborates with scholars based in United States, Türkiye and Italy. Elif Keleş's co-authors include Ulaş Bağcı, Teoman Öztürk, Özlem Altıntaş Yıldırım, Cemal Yazıcı, Aliasghar Mortazi, Zheyuan Zhang, Margarita Lianeri, Vedat Çiçek, Paweł P. Jagodzińśki and Hasan Hüseyin Kazan and has published in prestigious journals such as Gastroenterology, IEEE Transactions on Medical Imaging and Cancers.

In The Last Decade

Co-authorship network of co-authors of Elif Keleş i

Fields of papers citing papers by Elif Keleş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elif Keleş

Since Specialization
Citations

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