Sergei Levendorskiı̌
- Finance top 0.2%
- Stochastic processes and financial applications 103
- Financial Risk and Volatility Modeling 49
- Capital Investment and Risk Analysis 32
- Credit Risk and Financial Regulations 18
- Mathematical Physics top 2%
- Spectral Theory in Mathematical Physics 10
- Demography top 1%
- Insurance, Mortality, Demography, Risk Management 14
- Economics and Econometrics top 2%
- Complex Systems and Time Series Analysis 23
- Economic theories and models 18
- Co-authors
- Svetlana BoyarchenkoMitya BoyarchenkoOle E. Barndorff–NielsenNina BoyarchenkoPeter KuchmentY. SoibelmanJustin KirkbyZhenyu Cui
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Sergei Levendorskiı̌
126 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 57
- Finance 1.9k
- Mathematical Physics 337
- Demography 290
- Management Science and Operations Research 300
- Economics and Econometrics 595
Countries citing papers authored by Sergei Levendorskiı̌
This map shows the geographic impact of Sergei Levendorskiı̌'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 Sergei Levendorskiı̌ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergei Levendorskiı̌ more than expected).
Fields of papers citing papers by Sergei Levendorskiı̌
This network shows the impact of papers produced by Sergei Levendorskiı̌. 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 Sergei Levendorskiı̌. The network helps show where Sergei Levendorskiı̌ may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Sergei Levendorskiı̌, 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 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2016 | 16 | |
| 8 | 2012 | 15 | |
| 9 | DISCOUNTING WHEN INCOME IS STOCHASTIC AND CLIMATE CHANGE POLICIES | 2010 | 1 |
| 10 | 2008 | 14 | |
| 11 | 2008 | 19 | |
| 12 | 2008 | 5 | |
| 13 | The Relative Efficiency of Numerical Methods for Pricing American Options Under LéVy Processes | 2006 | 4 |
| 14 | 2005 | 0 | |
| 15 | 2003 | 19 | |
| 16 | Search-Money-and-Barter Models of Financial Stabilization | 2000 | 1 |
| 17 | 1997 | 2 | |
| 18 | 1997 | 2 | |
| 19 | 1991 | 24 | |
| 20 | 1990 | 4 |
About Sergei Levendorskiı̌
Sergei Levendorskiı̌ is a scholar working on Finance, Mathematical Physics and Economics and Econometrics, having authored 132 papers that have together received 2.2k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (103 papers), Financial Risk and Volatility Modeling (49 papers), Capital Investment and Risk Analysis (32 papers), Complex Systems and Time Series Analysis (23 papers), Economic theories and models (18 papers), Credit Risk and Financial Regulations (18 papers), Insurance, Mortality, Demography, Risk Management (14 papers) and Spectral Theory in Mathematical Physics (10 papers). The work is most often cited by research in Finance (1.9k citations), Mathematical Physics (337 citations) and Demography (290 citations). Sergei Levendorskiı̌ has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Svetlana Boyarchenko, Mitya Boyarchenko, Ole E. Barndorff–Nielsen, Nina Boyarchenko, Peter Kuchment, Y. Soibelman, Justin Kirkby, Zhenyu Cui, Anthony Sudbery and Martijn Pistorius.
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.