Elisa Alòs
Impact in
- Finance top 0.5%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
Papers in
- Finance 39
- Stochastic processes and financial applications 38
- Financial Risk and Volatility Modeling 29
- Credit Risk and Financial Regulations 4
- Financial Markets and Investment Strategies 3
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- Complex Systems and Time Series Analysis 19
- Co-authors
- David Nualart (7 shared papers)Olivier Mazet (2 shared papers)Jorge A. Leòn (8 shared papers)Josep Vives (3 shared papers)Christian‐Oliver Ewald (2 shared papers)Stefano Bonaccorsi (1 shared paper)David Nualart (1 shared paper)Dariusz Gątarek (1 shared paper)
In The Last Decade
Elisa Alòs
38 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 52
- Finance 983
- Modeling and Simulation 121
- Mathematical Physics 207
- Economics and Econometrics 422
- Applied Mathematics 152
Countries citing papers authored by Elisa Alòs
This map shows the geographic impact of Elisa Alòs'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 Elisa Alòs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisa Alòs more than expected).
Fields of papers citing papers by Elisa Alòs
This network shows the impact of papers produced by Elisa Alòs. 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 Elisa Alòs. The network helps show where Elisa Alòs may publish in the future.
Co-authors
The 25 scholars most cited alongside Elisa Alòs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 345 | |
| 2 | 2003 | 161 | |
| 3 | 2007 | 138 | |
| 4 | 2000 | 107 | |
| 5 | 2002 | 36 | |
| 6 | 2008 | 34 | |
| 7 | 2006 | 32 | |
| 8 | 2001 | 30 | |
| 9 | 2012 | 27 | |
| 10 | 1998 | 20 | |
| 11 | 1999 | 18 | |
| 12 | 1997 | 13 | |
| 13 | 2002 | 13 | |
| 14 | 2015 | 12 | |
| 15 | 2019 | 12 | |
| 16 | 2019 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2014 | 11 | |
| 19 | 2017 | 11 | |
| 20 | 2022 | 9 |
About Elisa Alòs
Elisa Alòs is a scholar working on Finance, Economics and Econometrics, Demography, Mathematical Physics and Applied Mathematics, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (38 papers), Financial Risk and Volatility Modeling (29 papers), Complex Systems and Time Series Analysis (19 papers), Insurance, Mortality, Demography, Risk Management (7 papers), Credit Risk and Financial Regulations (4 papers), Financial Markets and Investment Strategies (3 papers), Advanced Mathematical Modeling in Engineering (2 papers) and advanced mathematical theories (2 papers). The work is most often cited by research in Finance (983 citations), Modeling and Simulation (121 citations), Mathematical Physics (207 citations), Economics and Econometrics (422 citations) and Applied Mathematics (152 citations). Elisa Alòs has collaborated with scholars based in Spain, Mexico and Italy. Frequent co-authors include David Nualart, Olivier Mazet, Jorge A. Leòn, Josep Vives, Christian‐Oliver Ewald, Stefano Bonaccorsi, David Nualart, Dariusz Gątarek, Radoš Radoičić and Jim Gatheral. Their work appears in journals such as Finance and Stochastics, Quantitative Finance, Decisions in Economics and Finance, Applied Mathematical Finance and Stochastic Processes and their Applications.
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.