Dmitry Bagaev

About

Dmitry Bagaev is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Dmitry Bagaev has authored 7 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Dmitry Bagaev’s work include Gaussian Processes and Bayesian Inference (4 papers), Bayesian Modeling and Causal Inference (3 papers) and Neural Networks and Applications (1 paper). Dmitry Bagaev is often cited by papers focused on Gaussian Processes and Bayesian Inference (4 papers), Bayesian Modeling and Causal Inference (3 papers) and Neural Networks and Applications (1 paper). Dmitry Bagaev collaborates with scholars based in The Netherlands, Australia and Russia. Dmitry Bagaev's co-authors include Cristina Rius, Jerome Samir, Meriem Attaf, Mikhail Shugay, Garry Dolton, Fabio Luciani, Nina Babel, Andrew Godkin, Andrew K. Sewell and Alexander Greenshields‐Watson and has published in prestigious journals such as Nucleic Acids Research, Entropy and Scientific Programming.

In The Last Decade

Co-authorship network of co-authors of Dmitry Bagaev i

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Fields of papers citing papers by Dmitry Bagaev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dmitry Bagaev

Since Specialization

Citations

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