Dmitry Davydov
Impact in
- Finance top 2%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Capital Investment and Risk Analysis
- Credit Risk and Financial Regulations
- Financial Markets and Investment Strategies
- Demography top 10%
- Insurance, Mortality, Demography, Risk Management
Papers in
- Finance 3
- Stochastic processes and financial applications 3
- Financial Markets and Investment Strategies 1
- Capital Investment and Risk Analysis 1
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- Sociopolitical Dynamics in Russia 2
- Co-authors
- Vadim Linetsky (3 shared papers)A. I. Gusev (1 shared paper)А. А. Валеева (1 shared paper)Jussi Keppo (1 shared paper)Lones Smith (1 shared paper)
- Journals
- The Journal of Computational Finance (1 paper)Management Science (1 paper)Operations Research (1 paper)Journal of Alloys and Compounds (1 paper)Voprosy filosofii (1 paper)
- Partner nations
- United StatesRussiaSwitzerland
In The Last Decade
Dmitry Davydov
11 papers receiving 405 citations
Peers
Comparison fields: 5 of 53
- Finance 386
- Demography 68
- Mathematical Physics 39
- Economics and Econometrics 115
- Numerical Analysis 18
Countries citing papers authored by Dmitry Davydov
This map shows the geographic impact of Dmitry Davydov'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 Dmitry Davydov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Davydov more than expected).
Fields of papers citing papers by Dmitry Davydov
This network shows the impact of papers produced by Dmitry Davydov. 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 Dmitry Davydov. The network helps show where Dmitry Davydov may publish in the future.
Co-authors
The 5 scholars most cited alongside Dmitry Davydov, 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 | 2001 | 265 | |
| 2 | 2003 | 109 | |
| 3 | 2001 | 39 | |
| 4 | 2010 | 12 | |
| 5 | 2008 | 3 | |
| 6 | 2020 | 2 | |
| 7 | 2020 | 1 | |
| 8 | 2016 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2015 | 1 | |
| 11 | 2014 | 1 | |
| 12 | 2019 | 0 |
About Dmitry Davydov
Dmitry Davydov is a scholar working on Finance, Sociology and Political Science, Political Science and International Relations, Mathematical Physics and Cognitive Neuroscience, having authored 12 papers that have together received 435 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (3 papers), Sociopolitical Dynamics in Russia (2 papers), Gender, Feminism, and Media (1 paper), Metallurgical and Alloy Processes (1 paper), Financial Markets and Investment Strategies (1 paper), Capital Investment and Risk Analysis (1 paper), Stochastic processes and statistical mechanics (1 paper) and Monetary Policy and Economic Impact (1 paper). The work is most often cited by research in Finance (386 citations), Demography (68 citations), Mathematical Physics (39 citations), Economics and Econometrics (115 citations) and Numerical Analysis (18 citations). Dmitry Davydov has collaborated with scholars based in United States, Russia and Switzerland. Frequent co-authors include Vadim Linetsky, A. I. Gusev, А. А. Валеева, Jussi Keppo and Lones Smith. Their work appears in journals such as The Journal of Computational Finance, Management Science, Operations Research, Journal of Alloys and Compounds and Voprosy filosofii.
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.