Maxim Panov

About

Maxim Panov is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maxim Panov has authored 20 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Statistical and Nonlinear Physics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maxim Panov’s work include Complex Network Analysis Techniques (5 papers), Machine Learning and Algorithms (3 papers) and Statistical Methods and Inference (3 papers). Maxim Panov is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Machine Learning and Algorithms (3 papers) and Statistical Methods and Inference (3 papers). Maxim Panov collaborates with scholars based in Russia, United Arab Emirates and Germany. Maxim Panov's co-authors include Yury Yanovich, Evgeny Burnaev, Alexey Zaytsev, Mikhail Belyaev, Dmitry Yarotsky, Vladimir Spokoiny, Dmitry Vetrov, Pavel Prikhodko, Nikolai V. Brilliantov and Maxim V. Fedorov and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and International Journal of Hydrogen Energy.

In The Last Decade

Co-authorship network of co-authors of Maxim Panov i

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Fields of papers citing papers by Maxim Panov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maxim Panov

Since Specialization

Citations

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