Javier E. Contreras‐Reyes

1.5k total citations
89 papers, 1.1k citations indexed

About

Javier E. Contreras‐Reyes is a scholar working on Statistics and Probability, Economics and Econometrics and Finance. According to data from OpenAlex, Javier E. Contreras‐Reyes has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics and Probability, 33 papers in Economics and Econometrics and 27 papers in Finance. Recurrent topics in Javier E. Contreras‐Reyes's work include Statistical Distribution Estimation and Applications (30 papers), Financial Risk and Volatility Modeling (25 papers) and Complex Systems and Time Series Analysis (22 papers). Javier E. Contreras‐Reyes is often cited by papers focused on Statistical Distribution Estimation and Applications (30 papers), Financial Risk and Volatility Modeling (25 papers) and Complex Systems and Time Series Analysis (22 papers). Javier E. Contreras‐Reyes collaborates with scholars based in Chile, Iran and India. Javier E. Contreras‐Reyes's co-authors include Reinaldo B. Arellano‐Valle, Omid Kharazmi, Mohsen Maleki, Rodrigo Wiff, Marc G. Genton, Wilfredo Palma, Mohammad Reza Mahmoudi, Darren Wraith, N. Balakrishnan and Milan Stehlík and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecological Modelling and Physica D Nonlinear Phenomena.

In The Last Decade

Javier E. Contreras‐Reyes

80 papers receiving 1.1k citations

Peers

Javier E. Contreras‐Reyes

SNP

FINAN

A. J. Lawrance United Kingdom

J. M. Angulo Spain

Tomaz J. Kozubowski United States

Mohsen Pourahmadi United States

Jan Hannig United States

R B Davies New Zealand

Howell Tong United Kingdom

Clémentine Prieur France

Masaaki Sibuya Japan

Juan Romo Spain

A. J. Lawrance United Kingdom

Javier E. Contreras‐Reyes

435 ×1.2

243 ×0.9

262 ×1.1

SNP

182 ×0.8

288 ×1.4

FINAN

Citations per year, relative to Javier E. Contreras‐Reyes Javier E. Contreras‐Reyes (= 1×) peers A. J. Lawrance

Countries citing papers authored by Javier E. Contreras‐Reyes

Since Specialization

Citations

This map shows the geographic impact of Javier E. Contreras‐Reyes'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 Javier E. Contreras‐Reyes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier E. Contreras‐Reyes more than expected).

Fields of papers citing papers by Javier E. Contreras‐Reyes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier E. Contreras‐Reyes. 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 Javier E. Contreras‐Reyes. The network helps show where Javier E. Contreras‐Reyes may publish in the future.

Co-authorship network of co-authors of Javier E. Contreras‐Reyes

This figure shows the co-authorship network connecting the top 25 collaborators of Javier E. Contreras‐Reyes. A scholar is included among the top collaborators of Javier E. Contreras‐Reyes 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 Javier E. Contreras‐Reyes. Javier E. Contreras‐Reyes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Alizadeh, Morad, et al.. (2025). Economic Peaks and Value-at-Risk Analysis: A Novel Approach Using the Laplace Distribution for House Prices. Mathematical and Computational Applications. 30(1). 4–4.

Kharazmi, Omid, et al.. (2025). Cumulative Residual Fisher Information Based on Finite and Infinite Mixture Models. Fluctuation and Noise Letters. 24(6). 1 indexed citations

Contreras‐Reyes, Javier E., et al.. (2025). Rényi entropy for multivariate controlled autoregressive moving average systems. International Journal of Systems Science. 56(12). 3059–3071.

Contreras‐Reyes, Javier E.. (2025). Jensen-distance rate for stationary time series based on cross-spectral methods. Communications in Nonlinear Science and Numerical Simulation. 149. 108926–108926.

Bevilacqua, Moreno, et al.. (2024). Bivariate Pareto–Feller Distribution Based on Appell Hypergeometric Function. Axioms. 13(10). 701–701. 1 indexed citations

Alizadeh, Morad, et al.. (2024). The Extended Gompertz Model: Applications, Mean of Order P Assessment and Statistical Threshold Risk Analysis Based on Extreme Stresses Data. IEEE Transactions on Reliability. 74(2). 2779–2791. 11 indexed citations

Contreras‐Reyes, Javier E., et al.. (2024). Analyzing the Selective Stock Price Index Using Fractionally Integrated and Heteroskedastic Models. Journal of risk and financial management. 17(9). 401–401. 2 indexed citations

Kharazmi, Omid, et al.. (2023). Fisher information and its extensions based on infinite mixture density functions. Physica A Statistical Mechanics and its Applications. 624. 128959–128959. 6 indexed citations

Contreras‐Reyes, Javier E. & Omid Kharazmi. (2023). Belief Fisher–Shannon information plane: Properties, extensions, and applications to time series analysis. Chaos Solitons & Fractals. 177. 114271–114271. 15 indexed citations

10.

Kharazmi, Omid, Javier E. Contreras‐Reyes, & N. Balakrishnan. (2023). Jensen–Fisher information and Jensen–Shannon entropy measures based on complementary discrete distributions with an application to Conway’s game of life. Physica D Nonlinear Phenomena. 453. 133822–133822. 13 indexed citations

11.

Kuschel, Katherina, et al.. (2023). Preparing Cities for Future Pandemics: Unraveling the Influence of Urban and Housing Variables on COVID-19 Incidence in Santiago de Chile. Healthcare. 11(16). 2259–2259. 4 indexed citations

12.

Contreras‐Reyes, Javier E.. (2022). Information–Theoretic Aspects of Location Parameter Estimation under Skew–Normal Settings. Entropy. 24(3). 399–399. 6 indexed citations

13.

Contreras‐Reyes, Javier E., et al.. (2022). A Threshold GARCH Model for Chilean Economic Uncertainty. Journal of risk and financial management. 16(1). 20–20. 6 indexed citations

14.

Contreras‐Reyes, Javier E., et al.. (2022). Thin plate spline model under skew-normal random errors: estimation and diagnostic analysis for spatial data. Journal of Statistical Computation and Simulation. 93(1). 25–45. 3 indexed citations

15.

Contreras‐Reyes, Javier E., et al.. (2021). The Response of Housing Construction to a Copper Price Shock in Chile (2009–2020). Economies. 9(3). 98–98. 15 indexed citations

16.

Contreras‐Reyes, Javier E., et al.. (2021). Bayesian monthly index for building activity based on mixed frequencies: the case of Chile. Journal of Economic Studies. 49(3). 541–557. 5 indexed citations

17.

Contreras‐Reyes, Javier E., et al.. (2017). Incorporating uncertainty into a length-based estimator of natural mortality in fish populations. Fishery Bulletin. 115(3). 355–364. 9 indexed citations

18.

Contreras‐Reyes, Javier E., et al.. (2016). Flexible Bayesian analysis of the von Bertalanffy growth function with the use of a log-skew-t distribution. Fishery Bulletin. 115(1). 13–26. 22 indexed citations

19.

Contreras‐Reyes, Javier E., et al.. (2011). En busca de un modelo Benchmark univariado para predecir la tasa de desempleo. Repositorio Institucional UN - Biblioteca Digital. 3 indexed citations

20.

Contreras‐Reyes, Javier E., et al.. (2011). EN BUSCA DE UN MODELO BENCHMARK UNIVARIADO PARA PREDECIR LA TASA DE DESEMPLEO DE CHILE. SSRN Electronic Journal. 30(55). 105–125. 4 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.

Explore authors with similar magnitude of impact