Andrey Kolobov

20 papers and 276 indexed citations i.

About

Andrey Kolobov is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Andrey Kolobov has authored 20 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 4 papers in Management Science and Operations Research. Recurrent topics in Andrey Kolobov’s work include Bayesian Modeling and Causal Inference (6 papers), AI-based Problem Solving and Planning (6 papers) and Reinforcement Learning in Robotics (4 papers). Andrey Kolobov is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), AI-based Problem Solving and Planning (6 papers) and Reinforcement Learning in Robotics (4 papers). Andrey Kolobov collaborates with scholars based in United States, United Kingdom and Australia. Andrey Kolobov's co-authors include Stuart Russell, Bhaskara Marthi, David Sontag, Brian Milch, Daniel S. Weld, Mausam Mausam, Daniel S. Weld, Jan Van Haaren, Jesse Davis and Peng Dai and has published in prestigious journals such as Nature Communications, Artificial Intelligence and AI Magazine.

In The Last Decade

Co-authorship network of co-authors of Andrey Kolobov i

Fields of papers citing papers by Andrey Kolobov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrey Kolobov

Since Specialization
Citations

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