M.A. Sánchez-Granero
- Economics and Econometrics top 2%
- Finance top 2%
- Surgery
- Mathematical Physics top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Juan Evangelista Trinidad SegoviaM. Fernández–MartínezJosé Garcı́a PérezJosé Pedro Ramos-RequenaJuan L. G. GuiraoF. J. de las NievesAntonio M. PuertasSalvador Romaguera
- Topics
- Complex Systems and Time Series Analysis (37 papers)Mathematical Dynamics and Fractals (21 papers)Financial Risk and Volatility Modeling (19 papers)
- Partner nations
- SpainColombiaUnited States
In The Last Decade
M.A. Sánchez-Granero
76 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 136
- Economics and Econometrics 557
- Finance 323
- Surgery 182
- Mathematical Physics 177
- Statistical and Nonlinear Physics 153
Countries citing papers authored by M.A. Sánchez-Granero
This map shows the geographic impact of M.A. Sánchez-Granero'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 M.A. Sánchez-Granero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Sánchez-Granero more than expected).
Fields of papers citing papers by M.A. Sánchez-Granero
This network shows the impact of papers produced by M.A. Sánchez-Granero. 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 M.A. Sánchez-Granero. The network helps show where M.A. Sánchez-Granero may publish in the future.
Co-authorship network of co-authors of M.A. Sánchez-Granero
This figure shows the co-authorship network connecting the top 25 collaborators of M.A. Sánchez-Granero. A scholar is included among the top collaborators of M.A. Sánchez-Granero 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 M.A. Sánchez-Granero. M.A. Sánchez-Granero 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 | 5 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 37 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 19 | |
| 10 | 4 | |
| 11 | Evaluating the performance of the skewed distributions to forecast Value at Risk in the Global Financial Crisis | 0 |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 34 | |
| 15 | 10 | |
| 16 | 134 | |
| 17 | 11 | |
| 18 | Un análisis comparativo de las teorías clásicas para la formación de carteras de inversión | 2 |
| 19 | Selección de una cartera de cultivos: El principio "Primero, la seguridad", de Roy | 2 |
| 20 | 43 |
About M.A. Sánchez-Granero
M.A. Sánchez-Granero is a scholar working on Mathematical Physics, Finance and Geometry and Topology, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (37 papers), Mathematical Dynamics and Fractals (21 papers) and Financial Risk and Volatility Modeling (19 papers). The work is most often cited by research in Finance (323 citations), Economics and Econometrics (557 citations) and Mathematical Physics (177 citations). M.A. Sánchez-Granero has collaborated with scholars based in Spain, Colombia and United States. Frequent co-authors include Juan Evangelista Trinidad Segovia, M. Fernández–Martínez, José Garcı́a Pérez, José Pedro Ramos-Requena, Juan L. G. Guirao, F. J. de las Nieves, Antonio M. Puertas, Salvador Romaguera, Àlex Pifarré and M. López-Brea. Their work appears in journals such as Physical Review Letters, Journal of Clinical Oncology and PLoS ONE.
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.