Ramil Kuleev

About

Ramil Kuleev is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ramil Kuleev has authored 11 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Artificial Intelligence and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ramil Kuleev’s work include Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (4 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Ramil Kuleev is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (4 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Ramil Kuleev collaborates with scholars based in Russia, Denmark and Slovenia. Ramil Kuleev's co-authors include Bulat Ibragimov, Maksym Kholiavchenko, Yixuan Yuan, Tomaž Vrtovec, Muhammad Ahmad, Jianping Li, Rashad Elhabob, Muhammad Umar Aftab and Manuel Mazzara and has published in prestigious journals such as Computer Communications, Computers & Electrical Engineering and International Journal of Computer Assisted Radiology and Surgery.

In The Last Decade

Co-authorship network of co-authors of Ramil Kuleev i

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Fields of papers citing papers by Ramil Kuleev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ramil Kuleev

Since Specialization

Citations

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