J. M. Angulo

1.6k total citations
99 papers, 1.1k citations indexed

About

J. M. Angulo is a scholar working on Environmental Engineering, Economics and Econometrics and Finance. According to data from OpenAlex, J. M. Angulo has authored 99 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Environmental Engineering, 23 papers in Economics and Econometrics and 16 papers in Finance. Recurrent topics in J. M. Angulo's work include Soil Geostatistics and Mapping (30 papers), Complex Systems and Time Series Analysis (15 papers) and Financial Risk and Volatility Modeling (14 papers). J. M. Angulo is often cited by papers focused on Soil Geostatistics and Mapping (30 papers), Complex Systems and Time Series Analysis (15 papers) and Financial Risk and Volatility Modeling (14 papers). J. M. Angulo collaborates with scholars based in Spain, Australia and United States. J. M. Angulo's co-authors include M. D. Ruiz‐Medina, Vo Anh, Francisco Alonso, María C. Bueso, Wilfried Grecksch, Federico Liberatore, Víctor Leiva, Antonio Sanhueza, Miguel Camacho‐Collados and Agostino Di Ciaccio and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and European Journal of Operational Research.

In The Last Decade

J. M. Angulo

98 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. M. Angulo Spain	18	257	234	225	203	167	99	1.1k
M. D. Ruiz‐Medina Spain	18	252 1.0×	333 1.4×	229 1.0×	211 1.0×	171 1.0×	115	1.1k
Krzysztof Podgórski Sweden	17	138 0.5×	507 2.2×	269 1.2×	64 0.3×	148 0.9×	82	1.9k
Stilian Stoev United States	18	59 0.2×	601 2.6×	392 1.7×	73 0.4×	154 0.9×	55	1.3k
H. L. Gray United States	20	62 0.2×	378 1.6×	448 2.0×	173 0.9×	235 1.4×	78	1.8k
S. Yakowitz United States	25	225 0.9×	94 0.4×	243 1.1×	70 0.3×	175 1.0×	76	1.6k
Christine Thomas‐Agnan France	16	76 0.3×	79 0.3×	319 1.4×	60 0.3×	53 0.3×	50	1.6k
Vladas Pipiras United States	20	44 0.2×	782 3.3×	463 2.1×	83 0.4×	50 0.3×	97	1.4k
Clémentine Prieur France	16	100 0.4×	251 1.1×	76 0.3×	30 0.1×	180 1.1×	61	1.1k
J.‐C. Cortés Spain	20	129 0.5×	156 0.7×	44 0.2×	577 2.8×	121 0.7×	200	1.8k
Ramón Gutiérrez Jáimez Spain	17	49 0.2×	214 0.9×	136 0.6×	56 0.3×	40 0.2×	82	794

Countries citing papers authored by J. M. Angulo

Since Specialization

Citations

This map shows the geographic impact of J. M. Angulo'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 J. M. Angulo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. M. Angulo more than expected).

Fields of papers citing papers by J. M. Angulo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Angulo. 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 J. M. Angulo. The network helps show where J. M. Angulo may publish in the future.

Co-authorship network of co-authors of J. M. Angulo

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

All Works

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20 of 20 papers shown

Angulo, J. M., et al.. (2025). Entropy-based assessment of complexity structural effects of the third dimension, case seismic nest of Los Santos (Colombia). Stochastic Environmental Research and Risk Assessment. 39(3). 911–923. 1 indexed citations

Angulo, J. M., et al.. (2024). Detection of PCV2d in Vaccinated Pigs in Colombia and Prediction of Vaccine T Cell Epitope Coverage against Circulating Strains Using EpiCC Analysis. Vaccines. 12(10). 1119–1119. 2 indexed citations

Angulo, J. M., et al.. (2023). Wavelet-Based Multiscale Intermittency Analysis: The Effect of Deformation. Entropy. 25(7). 1080–1080. 1 indexed citations

Angulo, J. M., et al.. (2021). Structural Complexity and Informational Transfer in Spatial Log-Gaussian Cox Processes. Entropy. 23(9). 1135–1135. 2 indexed citations

Angulo, J. M., et al.. (2018). An application of information theory to stochastic classical gravitational fields. Physica A Statistical Mechanics and its Applications. 499. 129–141. 1 indexed citations

Christakos, George, et al.. (2017). Space-Time Metric Determination in Environmental Modeling. Journal of Environmental Informatics. 11 indexed citations

Yu, Hwa‐Lung, et al.. (2014). An online spatiotemporal prediction model for dengue fever epidemic inKaohsiung (Taiwan). Biometrical Journal. 56(3). 428–440. 15 indexed citations

Pardo, Leandro & J. M. Angulo. (2013). 2013: The International Year of Statistics. 29(3). 149–153. 1 indexed citations

Angulo, J. M., et al.. (2013). A deformation/blurring-based spatio-temporal model. Stochastic Environmental Research and Risk Assessment. 28(4). 1061–1073. 4 indexed citations

10.

Ciaccio, Agostino Di, et al.. (2012). Advanced Statistical Methods for the Analysis of Large Data-Sets: Studies in Theoretical and Applied Statistics. Springer eBooks. 36(3). 215–25. 10 indexed citations

11.

Christakos, George, J. M. Angulo, & Hwa‐Lung Yu. (2011). Constructing space-time pdfs in Geosciences. BOLETÍN GEOLÓGICO Y MINERO. 122(4). 531–542. 1 indexed citations

12.

Angulo, J. M., et al.. (2011). Spatial threshold exceedance analysis through marked point processes. Environmetrics. 23(1). 108–118. 5 indexed citations

13.

Bueso, María C., J. M. Angulo, Francisco Alonso, & M. D. Ruiz‐Medina. (2007). Time-adaptive spatial sampling design. 40. 1 indexed citations

14.

Ruiz‐Medina, M. D. & J. M. Angulo. (2007). Functional estimation of spatiotemporal heterogeneities. Environmetrics. 18(7). 775–792. 6 indexed citations

15.

Fernández-Pascual, Rosaura, M. D. Ruiz‐Medina, & J. M. Angulo. (2005). Estimation of intrinsic processes affected by additive fractal noise. Journal of Multivariate Analysis. 97(6). 1361–1381. 6 indexed citations

16.

Ruiz‐Medina, M. D., J. M. Angulo, & Vo Anh. (2003). Fractional-order regularization and wavelet approximation to the inverse estimation problem for random fields. Journal of Multivariate Analysis. 85(1). 192–216. 20 indexed citations

17.

Ruiz‐Medina, M. D., J. M. Angulo, & Vo Anh. (2001). Scaling limit solution of a fractional Burgers equation. Stochastic Processes and their Applications. 93(2). 285–300. 21 indexed citations

18.

Bueso, María C., J. M. Angulo, Guoqi Qian, & Francisco Alonso. (1999). Spatial Sampling Design Based on Stochastic Complexity. Journal of Multivariate Analysis. 71(1). 94–110. 6 indexed citations

19.

Anh, Vo, J. M. Angulo, & M. D. Ruiz‐Medina. (1999). Possible long-range dependence in fractional random fields. Journal of Statistical Planning and Inference. 80(1-2). 95–110. 89 indexed citations

20.

Alonso, Francisco, J. M. Angulo, & María C. Bueso. (1997). Application of em-type algorithms to spatial data. Communication in Statistics- Theory and Methods. 26(3). 669–683. 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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