Sema Candemir

32 papers and 1.8k indexed citations i.

About

Sema Candemir is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sema Candemir has authored 32 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sema Candemir’s work include COVID-19 diagnosis using AI (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and AI in cancer detection (11 papers). Sema Candemir is often cited by papers focused on COVID-19 diagnosis using AI (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and AI in cancer detection (11 papers). Sema Candemir collaborates with scholars based in United States, Germany and Kenya. Sema Candemir's co-authors include Sameer Antani, George R. Thoma, Stefan Jaeger, Yì Wáng, Pu-Xuan Lu, Zhiyun Xue, Alexandros Karargyris, Sivaramakrishnan Rajaraman, Kannappan Palaniappan and Les Folio and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Access and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Sema Candemir i

Fields of papers citing papers by Sema Candemir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sema Candemir

Since Specialization
Citations

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