M.A. Sánchez-Granero

1.9k total citations
85 papers, 1.3k citations indexed

About

M.A. Sánchez-Granero is a scholar working on Economics and Econometrics, Mathematical Physics and Finance. According to data from OpenAlex, M.A. Sánchez-Granero has authored 85 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Economics and Econometrics, 31 papers in Mathematical Physics and 29 papers in Finance. Recurrent topics in M.A. Sánchez-Granero's work include Complex Systems and Time Series Analysis (37 papers), Mathematical Dynamics and Fractals (21 papers) and Financial Risk and Volatility Modeling (19 papers). M.A. Sánchez-Granero is often cited by papers focused on Complex Systems and Time Series Analysis (37 papers), Mathematical Dynamics and Fractals (21 papers) and Financial Risk and Volatility Modeling (19 papers). M.A. Sánchez-Granero collaborates with scholars based in Spain, Colombia and Ecuador. M.A. Sánchez-Granero's co-authors include Juan Evangelista Trinidad Segovia, M. Fernández–Martínez, José Garcı́a Pérez, José Pedro Ramos-Requena, Juan L. G. Guirao, Antonio M. Puertas, F. J. de las Nieves, Salvador Romaguera, Pablo Maroto and Eliana C. Martinez and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

M.A. Sánchez-Granero

76 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M.A. Sánchez-Granero Spain 20 557 323 182 177 153 85 1.3k
Gabriel Lang United States 21 270 0.5× 363 1.1× 274 1.5× 87 0.5× 32 0.2× 76 1.7k
Gerhard Winkler Austria 25 308 0.6× 352 1.1× 32 0.2× 93 0.5× 69 0.5× 107 2.6k
Akihiro Sato Japan 15 270 0.5× 101 0.3× 248 1.4× 14 0.1× 190 1.2× 101 1.2k
Piercesare Secchi Italy 22 174 0.3× 43 0.1× 46 0.3× 84 0.5× 46 0.3× 98 1.4k
J. Hüsler Switzerland 16 197 0.4× 624 1.9× 162 0.9× 226 1.3× 38 0.2× 62 1.6k
Tobias Rydèn Sweden 20 93 0.2× 185 0.6× 200 1.1× 45 0.3× 50 0.3× 55 1.9k
L. Mark Berliner United States 24 352 0.6× 56 0.2× 113 0.6× 19 0.1× 163 1.1× 89 2.6k
Michael Sørensen Denmark 30 391 0.7× 1.4k 4.3× 9 0.0× 217 1.2× 116 0.8× 68 2.7k
Jim E. Griffin United Kingdom 32 429 0.8× 448 1.4× 50 0.3× 52 0.3× 25 0.2× 138 3.5k
Dennis D. Cox United States 30 139 0.2× 97 0.3× 635 3.5× 106 0.6× 39 0.3× 99 3.0k

Countries citing papers authored by M.A. Sánchez-Granero

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Segovia, Juan Evangelista Trinidad, et al.. (2025). Dynamic heterogeneities in stock markets. Physica A Statistical Mechanics and its Applications. 669. 130567–130567.
2.
Segovia, Juan Evangelista Trinidad, et al.. (2024). Multifractality approach of a generalized Shannon index in financial time series. PLoS ONE. 19(6). e0303252–e0303252. 1 indexed citations
3.
Segovia, Juan Evangelista Trinidad, et al.. (2023). Market Beta is not dead: An approach from Random Matrix Theory. Finance research letters. 55. 103816–103816. 5 indexed citations
4.
Puertas, Antonio M., et al.. (2022). A new look at financial markets efficiency from linear response theory. Finance research letters. 51. 103455–103455. 6 indexed citations
5.
Ramos-Requena, José Pedro, Juan Evangelista Trinidad Segovia, & M.A. Sánchez-Granero. (2020). An Alternative Approach to Measure Co-Movement between Two Time Series. Mathematics. 8(2). 261–261. 11 indexed citations
6.
Fernández–Martínez, M., Juan L. G. Guirao, & M.A. Sánchez-Granero. (2019). Calculating Hausdorff Dimension in Higher Dimensional Spaces. Symmetry. 11(4). 564–564. 9 indexed citations
7.
Fernández–Martínez, M., et al.. (2019). Some comments on Bitcoin market (in)efficiency. PLoS ONE. 14(7). e0219243–e0219243. 37 indexed citations
8.
Sánchez-Granero, M.A., et al.. (2019). The distribution function of a probability measure on the Dedekind-MacNeille completion. Topology and its Applications. 275. 107010–107010. 2 indexed citations
9.
Sánchez-Granero, M.A., et al.. (2019). Testing the efficient market hypothesis in Latin American stock markets. Physica A Statistical Mechanics and its Applications. 540. 123082–123082. 37 indexed citations
10.
Sánchez-Granero, M.A., et al.. (2019). The Distribution Function of a Probability Measure on a Linearly Ordered Topological Space. Mathematics. 7(9). 864–864. 3 indexed citations
11.
Puertas, Antonio M., et al.. (2017). Diffusive and Arrestedlike Dynamics in Currency Exchange Markets. Physical Review Letters. 118(6). 68301–68301. 10 indexed citations
12.
Sánchez-Granero, M.A., et al.. (2015). The Effect of the Underlying Distribution in Hurst Exponent Estimation. PLoS ONE. 10(5). e0127824–e0127824. 27 indexed citations
13.
Muela, Sonia Benito, et al.. (2013). Evaluating the performance of the skewed distributions to forecast Value at Risk in the Global Financial Crisis. RePEc: Research Papers in Economics. 1–21.
14.
Fernández–Martínez, M., M.A. Sánchez-Granero, & Juan Evangelista Trinidad Segovia. (2012). Fractal dimension for fractal structures: Applications to the domain of words. Applied Mathematics and Computation. 219(3). 1193–1199. 16 indexed citations
15.
Rodrı́guez-López, Jesús & M.A. Sánchez-Granero. (2010). Some properties of bornological convergences. Topology and its Applications. 158(1). 101–117. 3 indexed citations
16.
Künzi, Hans-Peter A., Salvador Romaguera, & M.A. Sánchez-Granero. (2009). The bicompletion of the Hausdorff quasi-uniformity. Topology and its Applications. 156(10). 1850–1862. 2 indexed citations
17.
Palacios, Rosario, I. Alonso, Ana B. Hidalgo, et al.. (2008). Peripheral Arterial Disease in HIV Patients Older than 50 Years of Age. AIDS Research and Human Retroviruses. 24(8). 1043–1046. 34 indexed citations
18.
Aparicio, Jorge, J.R. Germà, Xavier García del Muro, et al.. (2005). Risk-Adapted Management for Patients With Clinical Stage I Seminoma: The Second Spanish Germ Cell Cancer Cooperative Group Study. Journal of Clinical Oncology. 23(34). 8717–8723. 134 indexed citations
19.
Rambaud, Salvador Cruz, Juan Evangelista Trinidad Segovia, M.A. Sánchez-Granero, & José Garcı́a Pérez. (1999). Un análisis comparativo de las teorías clásicas para la formación de carteras de inversión. Actualidad financiera. 4(6). 41–50. 2 indexed citations
20.
Pérez, José Garcı́a, et al.. (1997). Selección de una cartera de cultivos: El principio "Primero, la seguridad", de Roy. 12(123). 425–444. 2 indexed citations

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.

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