Ilya Makarov

48 papers and 324 indexed citations i.

About

Ilya Makarov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Ilya Makarov has authored 48 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Ilya Makarov’s work include Advanced Graph Neural Networks (10 papers), Complex Network Analysis Techniques (8 papers) and Advanced Vision and Imaging (8 papers). Ilya Makarov is often cited by papers focused on Advanced Graph Neural Networks (10 papers), Complex Network Analysis Techniques (8 papers) and Advanced Vision and Imaging (8 papers). Ilya Makarov collaborates with scholars based in Russia, Slovenia and United States. Ilya Makarov's co-authors include A. Savchenko, Leonid Zhukov, Olga Gerasimova, Lovro Šubelj, Sergey Nikolenko, Yuanchao Liu, Haoliang Wang, Alexander Sboev, Jiawei Han and Dmitry I. Ignatov and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Ilya Makarov i

Fields of papers citing papers by Ilya Makarov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ilya Makarov

Since Specialization
Citations

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