Valeria Chernina

About

Valeria Chernina is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Health Informatics. According to data from OpenAlex, Valeria Chernina has authored 20 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Health Informatics. Recurrent topics in Valeria Chernina’s work include COVID-19 diagnosis using AI (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Valeria Chernina is often cited by papers focused on COVID-19 diagnosis using AI (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Valeria Chernina collaborates with scholars based in Russia, Czechia and Austria. Valeria Chernina's co-authors include Victor А. Gombolevskiy, С. П. Морозов, Ivan A. Blokhin, Pavel Gelezhe, Nikolay Pavlov, Anna Andreychenko, Anvar Kurmukov, О. А. Мокиенко, Geertruida H. de Bock and Donghoon Yu and has published in prestigious journals such as Medical Image Analysis, Lung Cancer and Computer Methods and Programs in Biomedicine.

In The Last Decade

Co-authorship network of co-authors of Valeria Chernina i

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Fields of papers citing papers by Valeria Chernina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Valeria Chernina

Since Specialization

Citations

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