Vadim Shchemelinin

7 papers and 275 indexed citations i.

About

Vadim Shchemelinin is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vadim Shchemelinin has authored 7 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Vadim Shchemelinin’s work include Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (5 papers) and Music and Audio Processing (4 papers). Vadim Shchemelinin is often cited by papers focused on Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (5 papers) and Music and Audio Processing (4 papers). Vadim Shchemelinin collaborates with scholars based in Russia and Italy. Vadim Shchemelinin's co-authors include Sergey Novoselov, Galina Lavrentyeva, Oleg Kudashev, Alexander Kozlov, Alexandr Kozlov and Alexander Kozlov and has published in prestigious journals such as arXiv (Cornell University), Scientific and technical journal of information technologies mechanics and optics and Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of Vadim Shchemelinin i

Fields of papers citing papers by Vadim Shchemelinin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vadim Shchemelinin

Since Specialization
Citations

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