Yulia Arzhaeva

18 papers and 310 indexed citations i.

About

Yulia Arzhaeva is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yulia Arzhaeva has authored 18 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yulia Arzhaeva’s work include COVID-19 diagnosis using AI (5 papers), AI in cancer detection (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Yulia Arzhaeva is often cited by papers focused on COVID-19 diagnosis using AI (5 papers), AI in cancer detection (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Yulia Arzhaeva collaborates with scholars based in Australia, The Netherlands and Germany. Yulia Arzhaeva's co-authors include Bram van Ginneken, Max A. Viergever, Eva M. van Rikxoort, Stefan Klein, Ivana Išgum, Marius Staring, Josien P. W. Pluim, David M. J. Tax, Ryan Lagerstrom and Pim A. de Jong and has published in prestigious journals such as Scientific Reports, Food Chemistry and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Yulia Arzhaeva i

Fields of papers citing papers by Yulia Arzhaeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yulia Arzhaeva

Since Specialization
Citations

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