Vladimir Pervouchine

5 papers and 78 indexed citations i.

About

Vladimir Pervouchine is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Vladimir Pervouchine has authored 5 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Sociology and Political Science. Recurrent topics in Vladimir Pervouchine’s work include Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers) and Handwritten Text Recognition Techniques (2 papers). Vladimir Pervouchine is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers) and Handwritten Text Recognition Techniques (2 papers). Vladimir Pervouchine collaborates with scholars based in Singapore and United States. Vladimir Pervouchine's co-authors include Graham Leedham, Min Zhang, Haizhou Li, A. Kumaran, Xiangyu Duan and Ming Liu and has published in prestigious journals such as Pattern Recognition, Meeting of the Association for Computational Linguistics and International Conference on Computational Linguistics.

In The Last Decade

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

Fields of papers citing papers by Vladimir Pervouchine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vladimir Pervouchine

Since Specialization
Citations

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