Víctor Pérez‐Abreu
- Finance top 2%
- Mathematical Physics top 5%
- Statistics and Probability top 2%
- Applied Mathematics top 5%
- Artificial Intelligence
- Co-authors
- Ole E. Barndorff–NielsenChristian HoudréConstantin TudorMiguel NakamuraPeter ImkellerJosep VivesG. KallianpurДонатас Сургайлис
- Topics
- Stochastic processes and financial applications (20 papers)Random Matrices and Applications (15 papers)Advanced Banach Space Theory (10 papers)
- Journals
- The American StatisticianJournal of Functional AnalysisProceedings of the American Mathematical Society
- Partner nations
- MexicoUnited StatesRomania
In The Last Decade
Víctor Pérez‐Abreu
51 papers receiving 453 citations
Peers
Comparison fields: 5 of 58
- Finance 267
- Mathematical Physics 228
- Statistics and Probability 214
- Applied Mathematics 115
- Artificial Intelligence 70
Countries citing papers authored by Víctor Pérez‐Abreu
This map shows the geographic impact of Víctor Pérez‐Abreu'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 Víctor Pérez‐Abreu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Víctor Pérez‐Abreu more than expected).
Fields of papers citing papers by Víctor Pérez‐Abreu
This network shows the impact of papers produced by Víctor Pérez‐Abreu. 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 Víctor Pérez‐Abreu. The network helps show where Víctor Pérez‐Abreu may publish in the future.
Co-authorship network of co-authors of Víctor Pérez‐Abreu
This figure shows the co-authorship network connecting the top 25 collaborators of Víctor Pérez‐Abreu. A scholar is included among the top collaborators of Víctor Pérez‐Abreu 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 Víctor Pérez‐Abreu. Víctor Pérez‐Abreu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 14 | |
| 4 | 15 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | MÚLTIPLE STOCHASTIC FRACTIONAL INTEGRALS: A TRANSFER PRINCIPLE FOR MÚLTIPLE STOCHASTIC FRACTIONAL INTEGRALS | 22 |
| 10 | 1 | |
| 11 | 29 | |
| 12 | 27 | |
| 13 | 60 | |
| 14 | Chaos Expansions: A Review | 2 |
| 15 | 17 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | Decompositions of Semimartingales on Duals of Countably Nuclear Spaces | 1 |
About Víctor Pérez‐Abreu
Víctor Pérez‐Abreu is a scholar working on Statistics and Probability, Mathematical Physics and Finance, having authored 52 papers that have together received 517 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (20 papers), Random Matrices and Applications (15 papers) and Advanced Banach Space Theory (10 papers). The work is most often cited by research in Finance (267 citations), Statistics and Probability (214 citations) and Mathematical Physics (228 citations). Víctor Pérez‐Abreu has collaborated with scholars based in Mexico, United States and Romania. Frequent co-authors include Ole E. Barndorff–Nielsen, Christian Houdré, Constantin Tudor, Miguel Nakamura, Peter Imkeller, Josep Vives, G. Kallianpur, Донатас Сургайлис, Robert Stelzer and Juan Carlos Pardo. Their work appears in journals such as The American Statistician, Journal of Functional Analysis and Proceedings of the American Mathematical Society.
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.