Vladimir Uspensky

11 papers and 178 indexed citations i.

About

Vladimir Uspensky is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Vladimir Uspensky has authored 11 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 4 papers in Statistics and Probability and 2 papers in Artificial Intelligence. Recurrent topics in Vladimir Uspensky’s work include Computability, Logic, AI Algorithms (8 papers), Benford’s Law and Fraud Detection (4 papers) and Cellular Automata and Applications (2 papers). Vladimir Uspensky is often cited by papers focused on Computability, Logic, AI Algorithms (8 papers), Benford’s Law and Fraud Detection (4 papers) and Cellular Automata and Applications (2 papers). Vladimir Uspensky collaborates with scholars based in Russia, France and United States. Vladimir Uspensky's co-authors include Alexander Shen, A. L. Semenov, Nikolay Vereshchagin, Christoph M. Hoffmann, Bruno Durand and Vladimir Kanovei and has published in prestigious journals such as Mathematics of Computation, Theoretical Computer Science and Lecture notes in computer science.

In The Last Decade

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

Fields of papers citing papers by Vladimir Uspensky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vladimir Uspensky

Since Specialization
Citations

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