Nora Muler
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Demography top 5%
- Insurance, Mortality, Demography, Risk Management
Papers in
- Finance 12
- Stochastic processes and financial applications 10
- Financial Risk and Volatility Modeling 3
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- Probability and Risk Models 10
- Co-authors
- Luis Caffarelli (1 shared paper)Vı́ctor J. Yohai (3 shared papers)Esther Frostig (1 shared paper)Virginia R. Young (1 shared paper)Hansjörg Albrecher (2 shared papers)
- Journals
- Insurance Mathematics and Economics (2 papers)Computational Statistics & Data Analysis (1 paper)Archive for Rational Mechanics and Analysis (1 paper)Indiana University Mathematics Journal (1 paper)Mathematical Finance (1 paper)
- Partner nations
- ArgentinaSwitzerlandUnited States
In The Last Decade
Nora Muler
16 papers receiving 348 citations
Peers
Comparison fields: 5 of 58
- Finance 159
- Demography 127
- Management Science and Operations Research 129
- Statistics and Probability 42
- Economics and Econometrics 134
Countries citing papers authored by Nora Muler
This map shows the geographic impact of Nora Muler'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 Nora Muler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nora Muler more than expected).
Fields of papers citing papers by Nora Muler
This network shows the impact of papers produced by Nora Muler. 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 Nora Muler. The network helps show where Nora Muler may publish in the future.
Co-authors
The 5 scholars most cited alongside Nora Muler, 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 | 1995 | 109 | |
| 2 | 2007 | 88 | |
| 3 | 2008 | 40 | |
| 4 | 2010 | 31 | |
| 5 | 2014 | 28 | |
| 6 | 2012 | 22 | |
| 7 | 2013 | 20 | |
| 8 | 2012 | 17 | |
| 9 | 2005 | 8 | |
| 10 | 2015 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2017 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2002 | 2 | |
| 16 | 1996 | 1 | |
| 17 | 2025 | 0 |
About Nora Muler
Nora Muler is a scholar working on Finance, Management Science and Operations Research, Demography, General Economics, Econometrics and Finance and Computational Theory and Mathematics, having authored 17 papers that have together received 381 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (10 papers), Probability and Risk Models (10 papers), Insurance, Mortality, Demography, Risk Management (9 papers), Financial Risk and Volatility Modeling (3 papers), Monetary Policy and Economic Impact (2 papers), Advanced Mathematical Modeling in Engineering (2 papers), Advanced Queuing Theory Analysis (1 paper) and Probabilistic and Robust Engineering Design (1 paper). The work is most often cited by research in Finance (159 citations), Demography (127 citations), Management Science and Operations Research (129 citations), Statistics and Probability (42 citations) and Economics and Econometrics (134 citations). Nora Muler has collaborated with scholars based in Argentina, Switzerland and United States. Frequent co-authors include Luis Caffarelli, Vı́ctor J. Yohai, Esther Frostig, Virginia R. Young and Hansjörg Albrecher. Their work appears in journals such as Insurance Mathematics and Economics, Computational Statistics & Data Analysis, Archive for Rational Mechanics and Analysis, Indiana University Mathematics Journal and Mathematical Finance.
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.