Mehmet Ufuk Dalmış

About

Mehmet Ufuk Dalmış is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mehmet Ufuk Dalmış has authored 10 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Artificial Intelligence and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mehmet Ufuk Dalmış’s work include MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (4 papers). Mehmet Ufuk Dalmış is often cited by papers focused on MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (4 papers). Mehmet Ufuk Dalmış collaborates with scholars based in The Netherlands, United States and Slovenia. Mehmet Ufuk Dalmış's co-authors include Ritse M. Mann, Albert Gubern‐Mérida, Suzan Vreemann, Nico Karssemeijer, Nico Karssemeijer, Geert Litjens, Katharina Holland, Arnaud A. A. Setio, Peter Bult and Jonas Teuwen and has published in prestigious journals such as Radiology, Medical Physics and European Radiology.

In The Last Decade

Co-authorship network of co-authors of Mehmet Ufuk Dalmış i

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Fields of papers citing papers by Mehmet Ufuk Dalmış

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mehmet Ufuk Dalmış. 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 Mehmet Ufuk Dalmış. The network helps show where Mehmet Ufuk Dalmış may publish in the future.

Countries citing papers authored by Mehmet Ufuk Dalmış

Since Specialization

Citations

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