Pavel Dvurechensky

46 papers and 305 indexed citations i.

About

Pavel Dvurechensky is a scholar working on Computational Mechanics, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Pavel Dvurechensky has authored 46 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computational Mechanics, 31 papers in Artificial Intelligence and 18 papers in Computational Theory and Mathematics. Recurrent topics in Pavel Dvurechensky’s work include Sparse and Compressive Sensing Techniques (32 papers), Stochastic Gradient Optimization Techniques (29 papers) and Advanced Optimization Algorithms Research (16 papers). Pavel Dvurechensky is often cited by papers focused on Sparse and Compressive Sensing Techniques (32 papers), Stochastic Gradient Optimization Techniques (29 papers) and Advanced Optimization Algorithms Research (16 papers). Pavel Dvurechensky collaborates with scholars based in Russia, Germany and United States. Pavel Dvurechensky's co-authors include Alexander Gasnikov, Darina Dvinskikh, Eduard Gorbunov, César A. Uribe, Alexander Tyurin, Yurii Nesterov, Mathias Staudigl, Shimrit Shtern, Yu. E. Nesterov and Angelia Nedić and has published in prestigious journals such as European Journal of Operational Research, Mathematical Programming and SIAM Journal on Optimization.

In The Last Decade

Co-authorship network of co-authors of Pavel Dvurechensky i

Fields of papers citing papers by Pavel Dvurechensky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pavel Dvurechensky

Since Specialization
Citations

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