Aleksandrs Belovs

About

Aleksandrs Belovs is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Aleksandrs Belovs has authored 21 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 14 papers in Computational Theory and Mathematics and 4 papers in Computer Networks and Communications. Recurrent topics in Aleksandrs Belovs’s work include Quantum Computing Algorithms and Architecture (14 papers), Machine Learning and Algorithms (12 papers) and Combinatorial Optimization and Complexity Theory (8 papers). Aleksandrs Belovs is often cited by papers focused on Quantum Computing Algorithms and Architecture (14 papers), Machine Learning and Algorithms (12 papers) and Combinatorial Optimization and Complexity Theory (8 papers). Aleksandrs Belovs collaborates with scholars based in Latvia, United States and Canada. Aleksandrs Belovs's co-authors include Eric Blais, Robert Špalek, Andris Ambainis, Troy Lee, Miklós Sántha, Scott Aaronson, Luca Trevisan, Abuzer Yakaryılmaz, Aran Nayebi and Ashley Montanaro and has published in prestigious journals such as Journal of the ACM, SIAM Journal on Computing and Quantum Information and Computation.

In The Last Decade

Co-authorship network of co-authors of Aleksandrs Belovs i

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Fields of papers citing papers by Aleksandrs Belovs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aleksandrs Belovs

Since Specialization

Citations

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