Denis Usvyat

81 papers and 2.6k indexed citations i.

About

Denis Usvyat is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Denis Usvyat has authored 81 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Atomic and Molecular Physics, and Optics, 38 papers in Materials Chemistry and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Denis Usvyat’s work include Advanced Chemical Physics Studies (54 papers), Machine Learning in Materials Science (13 papers) and Inorganic Fluorides and Related Compounds (12 papers). Denis Usvyat is often cited by papers focused on Advanced Chemical Physics Studies (54 papers), Machine Learning in Materials Science (13 papers) and Inorganic Fluorides and Related Compounds (12 papers). Denis Usvyat collaborates with scholars based in Germany, Italy and Russia. Denis Usvyat's co-authors include Martin Schütz, Lorenzo Maschio, C. Pisani, Silvia Casassa, Bartolomeo Civalleri, Frederick R. Manby, V. P. Smirnov, Garnet Kin‐Lic Chan, Daniel Kats and Weifeng Hu and has published in prestigious journals such as Science, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Denis Usvyat i

Fields of papers citing papers by Denis Usvyat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Denis Usvyat

Since Specialization
Citations

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