Razvan Sufana
Impact in
- Finance top 2%
- Financial Risk and Volatility Modeling
- Stochastic processes and financial applications
- Financial Markets and Investment Strategies
- Credit Risk and Financial Regulations
-
- Monetary Policy and Economic Impact
Papers in
- Finance 6
- Financial Risk and Volatility Modeling 5
- Stochastic processes and financial applications 4
- Credit Risk and Financial Regulations 4
-
- Insurance and Financial Risk Management 2
- Market Dynamics and Volatility 1
- Complex Systems and Time Series Analysis 1
- Co-authors
- Christian Gouriéroux (6 shared papers)Joann Jasiak (1 shared paper)Alain Monfort (1 shared paper)
- Journals
- Journal of Economic Dynamics and Control (1 paper)Journal of Business and Economic Statistics (1 paper)Journal of International Money and Finance (1 paper)Journal of Econometrics (1 paper)SSRN Electronic Journal (3 papers)
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Razvan Sufana
7 papers receiving 380 citations
Peers
Comparison fields: 5 of 30
- Finance 359
- General Economics, Econometrics and Finance 71
- Economics and Econometrics 155
- Demography 62
- Statistics and Probability 38
Countries citing papers authored by Razvan Sufana
This map shows the geographic impact of Razvan Sufana'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 Razvan Sufana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Razvan Sufana more than expected).
Fields of papers citing papers by Razvan Sufana
This network shows the impact of papers produced by Razvan Sufana. 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 Razvan Sufana. The network helps show where Razvan Sufana may publish in the future.
Co-authors
The 3 scholars most cited alongside Razvan Sufana, 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 | 2009 | 179 | |
| 2 | 2003 | 72 | |
| 3 | 2010 | 68 | |
| 4 | 2004 | 38 | |
| 5 | 2011 | 23 | |
| 6 | 2010 | 17 | |
| 7 | A Classification of Two-Factor Affine Diffusion Term Structure Models | 2008 | 1 |
About Razvan Sufana
Razvan Sufana is a scholar working on Finance, Economics and Econometrics, General Economics, Econometrics and Finance, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 7 papers that have together received 398 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (5 papers), Stochastic processes and financial applications (4 papers), Credit Risk and Financial Regulations (4 papers), Insurance and Financial Risk Management (2 papers), Market Dynamics and Volatility (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), Complex Systems and Time Series Analysis (1 paper) and Monetary Policy and Economic Impact (1 paper). The work is most often cited by research in Finance (359 citations), General Economics, Econometrics and Finance (71 citations), Economics and Econometrics (155 citations), Demography (62 citations) and Statistics and Probability (38 citations). Razvan Sufana has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Christian Gouriéroux, Joann Jasiak and Alain Monfort. Their work appears in journals such as Journal of Economic Dynamics and Control, Journal of Business and Economic Statistics, Journal of International Money and Finance, Journal of Econometrics and SSRN Electronic Journal.
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.