Maxim Krikun

15 papers and 884 indexed citations i.

About

Maxim Krikun is a scholar working on Mathematical Physics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Maxim Krikun has authored 15 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mathematical Physics, 4 papers in Artificial Intelligence and 3 papers in Statistics and Probability. Recurrent topics in Maxim Krikun’s work include Stochastic processes and statistical mechanics (5 papers), Markov Chains and Monte Carlo Methods (3 papers) and Topic Modeling (3 papers). Maxim Krikun is often cited by papers focused on Stochastic processes and statistical mechanics (5 papers), Markov Chains and Monte Carlo Methods (3 papers) and Topic Modeling (3 papers). Maxim Krikun collaborates with scholars based in France, United States and Russia. Maxim Krikun's co-authors include Macduff Hughes, Yonghui Wu, Mike Schuster, Zhifeng Chen, Greg S. Corrado, Fernanda Viégas, Martin Wattenberg, Quoc V. Le, Melvin Johnson and Nikhil Thorat and has published in prestigious journals such as Systematic Biology, Journal of Statistical Physics and Journal of Mathematical Biology.

In The Last Decade

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

Fields of papers citing papers by Maxim Krikun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maxim Krikun

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025