Alexander Novikov

12 papers and 286 indexed citations i.

About

Alexander Novikov is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computational Mathematics. According to data from OpenAlex, Alexander Novikov has authored 12 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 4 papers in Computational Mathematics. Recurrent topics in Alexander Novikov’s work include Tensor decomposition and applications (4 papers), Reinforcement Learning in Robotics (3 papers) and Evolutionary Algorithms and Applications (2 papers). Alexander Novikov is often cited by papers focused on Tensor decomposition and applications (4 papers), Reinforcement Learning in Robotics (3 papers) and Evolutionary Algorithms and Applications (2 papers). Alexander Novikov collaborates with scholars based in Russia, United States and United Kingdom. Alexander Novikov's co-authors include Pushmeet Kohli, Francisco J. R. Ruiz, Mohammadamin Barekatain, Matej Balog, Bernardino Romera‐Paredes, Aja Huang, Thomas Hubert, David Silver, Julian Schrittwieser and Demis Hassabis and has published in prestigious journals such as Nature, Nature Machine Intelligence and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Alexander Novikov i

Fields of papers citing papers by Alexander Novikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alexander Novikov

Since Specialization
Citations

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