Ilya Muchnik

47 papers and 1.5k indexed citations i.

About

Ilya Muchnik is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ilya Muchnik has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ilya Muchnik’s work include RNA and protein synthesis mechanisms (9 papers), Machine Learning in Bioinformatics (9 papers) and Protein Structure and Dynamics (7 papers). Ilya Muchnik is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Machine Learning in Bioinformatics (9 papers) and Protein Structure and Dynamics (7 papers). Ilya Muchnik collaborates with scholars based in United States, Russia and United Kingdom. Ilya Muchnik's co-authors include Inna Dubchak, Stephen R. Holbrook, Sung‐Hou Kim, Temple F. Smith, Roderic Guigó, P. L. Hammer, Eddy Mayoraz, Alexander Kogan, Endre Boros and Toshihide Ibaraki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Image Processing and Proteins Structure Function and Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Ilya Muchnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ilya Muchnik

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025