José E. Figueroa‐López
- Finance top 2%
- Economics and Econometrics top 10%
- Management Science and Operations Research top 10%
- Demography top 10%
- Statistics and Probability top 10%
- Co-authors
- Agostino CapponiChristian HoudréMartin FordeCecilia ManciniAndrea PascucciKiseop LeeMichael LevineCheng Ouyang
- Topics
- Stochastic processes and financial applications (30 papers)Financial Risk and Volatility Modeling (22 papers)Statistical Methods and Inference (6 papers)
- Partner nations
- United StatesItalyIreland
In The Last Decade
José E. Figueroa‐López
30 papers receiving 301 citations
Peers
Comparison fields: 5 of 37
- Finance 275
- Economics and Econometrics 81
- Management Science and Operations Research 70
- Demography 56
- Statistics and Probability 33
Countries citing papers authored by José E. Figueroa‐López
This map shows the geographic impact of José E. Figueroa‐López'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 José E. Figueroa‐López with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José E. Figueroa‐López more than expected).
Fields of papers citing papers by José E. Figueroa‐López
This network shows the impact of papers produced by José E. Figueroa‐López. 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 José E. Figueroa‐López. The network helps show where José E. Figueroa‐López may publish in the future.
Co-authorship network of co-authors of José E. Figueroa‐López
This figure shows the co-authorship network connecting the top 25 collaborators of José E. Figueroa‐López. A scholar is included among the top collaborators of José E. Figueroa‐López based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with José E. Figueroa‐López. José E. Figueroa‐López is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 26 | |
| 14 | 9 | |
| 15 | Pricing and Portfolio Optimization Analysis in Defaultable Regime-Switching Markets | 0 |
| 16 | 2 | |
| 17 | 31 | |
| 18 | 22 | |
| 19 | 1 | |
| 20 | 26 |
About José E. Figueroa‐López
José E. Figueroa‐López is a scholar working on Finance, Statistics and Probability and Management Science and Operations Research, having authored 33 papers that have together received 313 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (30 papers), Financial Risk and Volatility Modeling (22 papers) and Statistical Methods and Inference (6 papers). The work is most often cited by research in Finance (275 citations), Management Science and Operations Research (70 citations) and Demography (56 citations). José E. Figueroa‐López has collaborated with scholars based in United States, Italy and Ireland. Frequent co-authors include Agostino Capponi, Christian Houdré, Martin Forde, Cecilia Mancini, Andrea Pascucci, Kiseop Lee, Michael Levine, Cheng Ouyang, Yi Zhang and Chu‐Yi Yu. Their work appears in journals such as Journal of Econometrics, Econometric Theory and Advances in Applied Probability.
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.