Oleg Rytchkov
Impact in
- Finance top 5%
- Financial Markets and Investment Strategies
- Accounting top 10%
- Corporate Finance and Governance
Papers in
- Finance 13
- Financial Markets and Investment Strategies 11
- Stochastic processes and financial applications 5
- Financial Risk and Volatility Modeling 2
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- Complex Systems and Time Series Analysis 6
- Economic theories and models 5
- Housing Market and Economics 1
- Co-authors
- Igor Makarov (1 shared paper)Ivan Stetsyuk (1 shared paper)Georgy Chabakauri (1 shared paper)Elyas Elyasiani (1 shared paper)Dan Luo (1 shared paper)
- Journals
- Journal of Empirical Finance (1 paper)The Journal of Finance (1 paper)Journal of Economic Theory (1 paper)Management Science (1 paper)Journal of Financial and Quantitative Analysis (1 paper)
- Partner nations
- United StatesUnited Arab EmiratesUnited Kingdom
In The Last Decade
Oleg Rytchkov
16 papers receiving 293 citations
Peers
Comparison fields: 5 of 27
- Finance 259
- Accounting 91
- General Economics, Econometrics and Finance 63
- Economics and Econometrics 188
- Management Science and Operations Research 58
Countries citing papers authored by Oleg Rytchkov
This map shows the geographic impact of Oleg Rytchkov'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 Oleg Rytchkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oleg Rytchkov more than expected).
Fields of papers citing papers by Oleg Rytchkov
This network shows the impact of papers produced by Oleg Rytchkov. 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 Oleg Rytchkov. The network helps show where Oleg Rytchkov may publish in the future.
Co-authors
The 5 scholars most cited alongside Oleg Rytchkov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 80 | |
| 2 | 2013 | 46 | |
| 3 | 2012 | 43 | |
| 4 | 2012 | 27 | |
| 5 | 2013 | 26 | |
| 6 | 2013 | 25 | |
| 7 | 2010 | 17 | |
| 8 | 2009 | 10 | |
| 9 | 2019 | 8 | |
| 10 | 2018 | 8 | |
| 11 | 2022 | 3 | |
| 12 | 2016 | 3 | |
| 13 | 2016 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2015 | 1 | |
| 16 | 2012 | 1 | |
| 17 | 2022 | 0 |
About Oleg Rytchkov
Oleg Rytchkov is a scholar working on Finance, Economics and Econometrics, Management Science and Operations Research, General Economics, Econometrics and Finance and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 302 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (11 papers), Complex Systems and Time Series Analysis (6 papers), Stochastic processes and financial applications (5 papers), Economic theories and models (5 papers), Monetary Policy and Economic Impact (3 papers), Stock Market Forecasting Methods (3 papers), Financial Risk and Volatility Modeling (2 papers) and Housing Market and Economics (1 paper). The work is most often cited by research in Finance (259 citations), Accounting (91 citations), General Economics, Econometrics and Finance (63 citations), Economics and Econometrics (188 citations) and Management Science and Operations Research (58 citations). Oleg Rytchkov has collaborated with scholars based in United States, United Arab Emirates and United Kingdom. Frequent co-authors include Igor Makarov, Ivan Stetsyuk, Georgy Chabakauri, Elyas Elyasiani and Dan Luo. Their work appears in journals such as Journal of Empirical Finance, The Journal of Finance, Journal of Economic Theory, Management Science and Journal of Financial and Quantitative Analysis.
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.