Ulaş Bağcı

203 papers and 3.8k indexed citations i.

About

Ulaş Bağcı is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ulaş Bağcı has authored 203 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Radiology, Nuclear Medicine and Imaging, 61 papers in Computer Vision and Pattern Recognition and 49 papers in Artificial Intelligence. Recurrent topics in Ulaş Bağcı’s work include Radiomics and Machine Learning in Medical Imaging (63 papers), AI in cancer detection (38 papers) and Medical Image Segmentation Techniques (34 papers). Ulaş Bağcı is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (63 papers), AI in cancer detection (38 papers) and Medical Image Segmentation Techniques (34 papers). Ulaş Bağcı collaborates with scholars based in United States, Türkiye and United Kingdom. Ulaş Bağcı's co-authors include Daniel J. Mollura, Ziyue Xu, Jayaram K. Udupa, Brent Foster, Sarfaraz Hussein, Xinjian Chen, Awais Mansoor, Jianhua Yao, Georgios Z. Papadakis and Michael B. Wallace and has published in prestigious journals such as Gastroenterology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Co-authorship network of co-authors of Ulaş Bağcı i

Fields of papers citing papers by Ulaş Bağcı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ulaş Bağcı

Since Specialization
Citations

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