Svetlana Boyarchenko
- Finance top 0.5%
- Stochastic processes and financial applications 56
- Capital Investment and Risk Analysis 29
- Financial Risk and Volatility Modeling 23
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- Auction Theory and Applications 7
- Demography top 2%
- Insurance, Mortality, Demography, Risk Management 9
- Economics and Econometrics top 2%
- Economic theories and models 22
- Complex Systems and Time Series Analysis 13
- Climate Change Policy and Economics 8
- Mathematical Physics top 5%
- Journals
- American Economic Review (1 paper)SIAM Journal on Control and Optimization (2 papers)Games and Economic Behavior (2 papers)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Svetlana Boyarchenko
78 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 57
- Finance 1.2k
- Management Science and Operations Research 214
- Demography 189
- Economics and Econometrics 441
- Mathematical Physics 140
Countries citing papers authored by Svetlana Boyarchenko
This map shows the geographic impact of Svetlana Boyarchenko'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 Svetlana Boyarchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Svetlana Boyarchenko more than expected).
Fields of papers citing papers by Svetlana Boyarchenko
This network shows the impact of papers produced by Svetlana Boyarchenko. 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 Svetlana Boyarchenko. The network helps show where Svetlana Boyarchenko may publish in the future.
Co-authorship network
The 5 scholars most cited alongside Svetlana Boyarchenko, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 3 | |
| 8 | 2019 | 1 | |
| 9 | 2018 | 4 | |
| 10 | 2017 | 1 | |
| 11 | 2015 | 0 | |
| 12 | 2012 | 15 | |
| 13 | DISCOUNTING WHEN INCOME IS STOCHASTIC AND CLIMATE CHANGE POLICIES | 2010 | 1 |
| 14 | 2010 | 41 | |
| 15 | 2008 | 5 | |
| 16 | 2006 | 8 | |
| 17 | 2005 | 0 | |
| 18 | 2003 | 1 | |
| 19 | Search-Money-and-Barter Models of Financial Stabilization | 2000 | 1 |
| 20 | 1997 | 2 |
About Svetlana Boyarchenko
Svetlana Boyarchenko is a scholar working on Finance, Economics and Econometrics and Management Science and Operations Research, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (56 papers), Capital Investment and Risk Analysis (29 papers), Financial Risk and Volatility Modeling (23 papers), Economic theories and models (22 papers), Complex Systems and Time Series Analysis (13 papers), Insurance, Mortality, Demography, Risk Management (9 papers), Climate Change Policy and Economics (8 papers) and Auction Theory and Applications (7 papers). The work is most often cited by research in Finance (1.2k citations), Management Science and Operations Research (214 citations) and Demography (189 citations). Svetlana Boyarchenko has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Sergei Levendorskiı̌, Mitya Boyarchenko, Serge Levendorskiǐ, Justin Kirkby and Zhenyu Cui. Their work appears in journals such as American Economic Review, SIAM Journal on Control and Optimization and Games and Economic Behavior.
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.