Maxim Rabinovich

About

Maxim Rabinovich is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Maxim Rabinovich has authored 8 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 1 paper in Molecular Biology. Recurrent topics in Maxim Rabinovich’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Markov Chains and Monte Carlo Methods (2 papers). Maxim Rabinovich is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Markov Chains and Monte Carlo Methods (2 papers). Maxim Rabinovich collaborates with scholars based in United States and United Kingdom. Maxim Rabinovich's co-authors include Dan Klein, Mitchell Stern, David M. Blei, Michael I. Jordan, Elaine Angelino, Aaditya Ramdas, Martin J. Wainwright, Joseph P. Dexter, Ajay Kannan and Nilesh Tripuraneni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bayesian Analysis and Statistica Sinica.

In The Last Decade

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

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Fields of papers citing papers by Maxim Rabinovich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maxim Rabinovich

Since Specialization

Citations

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