Georgy Sofronov
Impact in
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- Auction Theory and Applications
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- Supply Chain and Inventory Management
Papers in
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- Auction Theory and Applications 10
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- Gene expression and cancer classification 9
- Fractal and DNA sequence analysis 6
- Genomics and Phylogenetic Studies 3
- Co-authors
- Jonathan M. Keith (7 shared papers)Dirk P. Kroese (6 shared papers)G. Evans (1 shared paper)Andrew J. Grant (1 shared paper)Gareth W. Peters (5 shared papers)Pavel V. Shevchenko (5 shared papers)Marcus Gallagher (1 shared paper)Ian Wood (1 shared paper)
In The Last Decade
Georgy Sofronov
47 papers receiving 259 citations
Peers
Comparison fields: 5 of 62
- Management Science and Operations Research 65
- Management Information Systems 32
- Statistics and Probability 28
- Signal Processing 27
- Finance 22
Countries citing papers authored by Georgy Sofronov
This map shows the geographic impact of Georgy Sofronov'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 Georgy Sofronov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgy Sofronov more than expected).
Fields of papers citing papers by Georgy Sofronov
This network shows the impact of papers produced by Georgy Sofronov. 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 Georgy Sofronov. The network helps show where Georgy Sofronov may publish in the future.
Co-authors
The 22 scholars most cited alongside Georgy Sofronov, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 29 | |
| 2 | 2008 | 24 | |
| 3 | 2010 | 19 | |
| 4 | 2008 | 19 | |
| 5 | Change-point modelling in biological sequences via the bayesian adaptive independent sampler | 2011 | 12 |
| 6 | 2006 | 11 | |
| 7 | 2020 | 11 | |
| 8 | 2012 | 11 | |
| 9 | 2007 | 10 | |
| 10 | 2012 | 10 | |
| 11 | 2011 | 9 | |
| 12 | 2007 | 9 | |
| 13 | 2012 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2013 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2014 | 5 | |
| 18 | 2012 | 5 | |
| 19 | 2013 | 5 | |
| 20 | 2006 | 4 |
About Georgy Sofronov
Georgy Sofronov is a scholar working on Management Science and Operations Research, Molecular Biology, Computer Networks and Communications, Economics and Econometrics and Artificial Intelligence, having authored 52 papers that have together received 272 indexed citations. Recurring topics across this work include Auction Theory and Applications (10 papers), Optimization and Search Problems (9 papers), Gene expression and cancer classification (9 papers), Fractal and DNA sequence analysis (6 papers), Bayesian Methods and Mixture Models (5 papers), Supply Chain and Inventory Management (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Management Science and Operations Research (65 citations), Management Information Systems (32 citations), Statistics and Probability (28 citations), Signal Processing (27 citations) and Finance (22 citations). Georgy Sofronov has collaborated with scholars based in Australia, Russia and Norway. Frequent co-authors include Jonathan M. Keith, Dirk P. Kroese, G. Evans, Andrew J. Grant, Gareth W. Peters, Pavel V. Shevchenko, Marcus Gallagher, Ian Wood, Jiwook Jang and Culum Brown. Their work appears in journals such as Statistical Papers, Journal of Applied Probability, Atmosphere, Environmental Modeling & Assessment and Annals of Operations Research.
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.