Vladimir Nelyub

36 papers and 151 indexed citations i.

About

Vladimir Nelyub is a scholar working on Mechanical Engineering, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Vladimir Nelyub has authored 36 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanical Engineering, 7 papers in Materials Chemistry and 7 papers in Computational Theory and Mathematics. Recurrent topics in Vladimir Nelyub’s work include Machine Learning in Materials Science (6 papers), Computational Drug Discovery Methods (5 papers) and Additive Manufacturing Materials and Processes (4 papers). Vladimir Nelyub is often cited by papers focused on Machine Learning in Materials Science (6 papers), Computational Drug Discovery Methods (5 papers) and Additive Manufacturing Materials and Processes (4 papers). Vladimir Nelyub collaborates with scholars based in Russia. Vladimir Nelyub's co-authors include А. С. Бородулин, В С Тынченко, G. V. Malysheva, Andrei Gantimurov, В В Кукарцев, Sergei Kurashkin, Alexey B. Pnev, Ruslan Sergienko, Eugene Semenkin and Yadviga Tynchenko and has published in prestigious journals such as International Journal of Molecular Sciences, Sensors and Sustainability.

In The Last Decade

Co-authorship network of co-authors of Vladimir Nelyub i

Fields of papers citing papers by Vladimir Nelyub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vladimir Nelyub

Since Specialization
Citations

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