Ilya Muchnik
Impact in
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- Computational Drug Discovery Methods
- Rough Sets and Fuzzy Logic
- Molecular Biology top 10%
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- vaccines and immunoinformatics approaches
Papers in
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- Machine Learning in Bioinformatics 13
- RNA and protein synthesis mechanisms 11
- Genomics and Phylogenetic Studies 9
- Protein Structure and Dynamics 8
- Bioinformatics and Genomic Networks 6
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- Neural Networks and Applications 4
- Co-authors
- Inna Dubchak (7 shared papers)Stephen R. Holbrook (1 shared paper)Sung‐Hou Kim (5 shared papers)Temple F. Smith (5 shared papers)P. L. Hammer (2 shared papers)Roderic Guigó (1 shared paper)Eddy Mayoraz (2 shared papers)Toshihide Ibaraki (1 shared paper)
- Journals
- Applied Mathematics Letters (3 papers)Discrete Applied Mathematics (2 papers)Proteins Structure Function and Bioinformatics (2 papers)Veterinary Record (2 papers)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Ilya Muchnik
66 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 137
- Computational Theory and Mathematics 341
- Molecular Biology 1.1k
- Microbiology 70
- Artificial Intelligence 318
- Animal Science and Zoology 87
Countries citing papers authored by Ilya Muchnik
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).
Fields of papers citing papers by Ilya Muchnik
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.
Co-authors
The 25 scholars most cited alongside Ilya Muchnik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 469 | |
| 2 | 2000 | 251 | |
| 3 | 1999 | 195 | |
| 4 | 1996 | 139 | |
| 5 | 1999 | 124 | |
| 6 | 1995 | 60 | |
| 7 | 2017 | 52 | |
| 8 | Protein folding class predictor for SCOP: approach based on global descriptors. | 1997 | 35 |
| 9 | 1992 | 34 | |
| 10 | 2006 | 31 | |
| 11 | 2012 | 29 | |
| 12 | 2010 | 29 | |
| 13 | 1999 | 19 | |
| 14 | 2020 | 19 | |
| 15 | 1994 | 18 | |
| 16 | 2011 | 18 | |
| 17 | 2005 | 18 | |
| 18 | 2019 | 17 | |
| 19 | 2018 | 13 | |
| 20 | 2007 | 11 |
About Ilya Muchnik
Ilya Muchnik is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Management Science and Operations Research, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (13 papers), RNA and protein synthesis mechanisms (11 papers), Genomics and Phylogenetic Studies (9 papers), Protein Structure and Dynamics (8 papers), Bioinformatics and Genomic Networks (6 papers), Face and Expression Recognition (5 papers), Animal Nutrition and Physiology (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (341 citations), Molecular Biology (1.1k citations), Microbiology (70 citations), Artificial Intelligence (318 citations) and Animal Science and Zoology (87 citations). Ilya Muchnik has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Inna Dubchak, Stephen R. Holbrook, Sung‐Hou Kim, Temple F. Smith, P. L. Hammer, Roderic Guigó, Eddy Mayoraz, Toshihide Ibaraki, Alexander Kogan and Endre Boros. Their work appears in journals such as Applied Mathematics Letters, Discrete Applied Mathematics, Proteins Structure Function and Bioinformatics, Veterinary Record and IEEE Transactions on Image Processing.
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.