Jorge Mateu

5.2k total citations
264 papers, 3.4k citations indexed

About

Jorge Mateu is a scholar working on Environmental Engineering, Economics and Econometrics and Applied Mathematics. According to data from OpenAlex, Jorge Mateu has authored 264 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Environmental Engineering, 90 papers in Economics and Econometrics and 88 papers in Applied Mathematics. Recurrent topics in Jorge Mateu's work include Soil Geostatistics and Mapping (98 papers), Point processes and geometric inequalities (82 papers) and Spatial and Panel Data Analysis (81 papers). Jorge Mateu is often cited by papers focused on Soil Geostatistics and Mapping (98 papers), Point processes and geometric inequalities (82 papers) and Spatial and Panel Data Analysis (81 papers). Jorge Mateu collaborates with scholars based in Spain, Italy and Colombia. Jorge Mateu's co-authors include Ramón Giraldo, Emilio Porcu, Pedro Delicado, Juan Pablo Paz, C. Comas, Peter J. Diggle, Francisco Montes, Pablo Gregori, Helen E. Clough and Moreno Bevilacqua and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of the American Statistical Association.

In The Last Decade

Jorge Mateu

247 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Mateu Spain 31 1.1k 823 652 540 505 264 3.4k
Rasmus Waagepetersen Denmark 23 502 0.4× 749 0.9× 1.3k 2.0× 316 0.6× 530 1.0× 89 3.3k
Jesper Möller Denmark 32 747 0.7× 862 1.0× 2.3k 3.5× 326 0.6× 1.1k 2.2× 160 5.2k
Janine Illian United Kingdom 19 407 0.4× 342 0.4× 308 0.5× 723 1.3× 210 0.4× 33 2.6k
Montserrat Fuentes United States 28 1.0k 0.9× 661 0.8× 110 0.2× 532 1.0× 411 0.8× 83 2.9k
Emilio Porcu Chile 23 1.1k 1.0× 359 0.4× 286 0.4× 298 0.6× 372 0.7× 151 1.9k
Martin Schlather Germany 25 689 0.6× 504 0.6× 172 0.3× 671 1.2× 245 0.5× 87 2.7k
G. Matheron France 17 2.9k 2.6× 407 0.5× 618 0.9× 643 1.2× 1.4k 2.8× 44 8.5k
Douglas Nychka United States 40 1.3k 1.2× 1.3k 1.6× 205 0.3× 2.3k 4.3× 808 1.6× 118 6.7k
Finn Lindgren United Kingdom 23 1.6k 1.4× 1.0k 1.2× 140 0.2× 1.2k 2.3× 877 1.7× 67 5.6k
Frederic Paik Schoenberg United States 27 176 0.2× 334 0.4× 729 1.1× 327 0.6× 410 0.8× 103 2.5k

Countries citing papers authored by Jorge Mateu

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Mateu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Mateu. 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 Jorge Mateu. The network helps show where Jorge Mateu may publish in the future.

Co-authorship network of co-authors of Jorge Mateu

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Mateu. A scholar is included among the top collaborators of Jorge Mateu 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 Jorge Mateu. Jorge Mateu 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.
Slater, Justin, Patrick Brown, Jeffrey S. Rosenthal, & Jorge Mateu. (2025). Leveraging cellphone-derived mobility networks to assess Covid-19 travel risk. The Annals of Applied Statistics. 19(1).
2.
Schuhmacher, Dominic, et al.. (2024). ANOVA for Metric Spaces, with Applications to Spatial Data. Statistical Science. 39(2).
3.
Osei, Frank, et al.. (2024). Multivariate Poisson cokriging: A geostatistical model for health count data. Statistical Methods in Medical Research. 33(9). 1637–1659.
4.
Eckardt, Matthias, Jorge Mateu, & Mehdi Moradi. (2024). Function‐Valued Marked Spatial Point Processes on Linear Networks: Application to Urban Cycling Profiles. Stat. 13(4).
5.
6.
Mateu, Jorge, et al.. (2023). Neuronorm: An R Package to Standardize Multiple Structural MRI. SSRN Electronic Journal.
7.
Moradi, Mehdi, et al.. (2023). Hierarchical Spatio-Temporal Change-Point Detection. The American Statistician. 77(4). 390–400. 6 indexed citations
8.
Wikle, Christopher K., Jorge Mateu, & Andrew Zammit‐Mangion. (2023). Deep learning and spatial statistics. Spatial Statistics. 57. 100774–100774. 3 indexed citations
9.
Milà, Carles, Jorge Mateu, Edzer Pebesma, & Hanna Meyer. (2022). Nearest neighbour distance matching Leave‐One‐Out Cross‐Validation for map validation. Methods in Ecology and Evolution. 13(6). 1304–1316. 41 indexed citations
10.
Giraldo, Ramón, et al.. (2022). A spatial randomness test based on the box-counting dimension. AStA Advances in Statistical Analysis. 106(3). 499–524. 5 indexed citations
11.
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
12.
Eckardt, Matthias & Jorge Mateu. (2020). Partial and Semi‐Partial Statistics of Spatial Associations for Multivariate Areal Data. Geographical Analysis. 53(4). 818–835. 13 indexed citations
13.
Mateu, Jorge, et al.. (2018). Non-linear spatial modeling of rat sightings in relation to urban multi-source foci. Journal of Infection and Public Health. 11(5). 667–676. 10 indexed citations
14.
Eckardt, Matthias & Jorge Mateu. (2018). Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach. International Statistical Review. 87(1). 44–67. 3 indexed citations
15.
Bevilacqua, Moreno, Carlo Gaetan, Jorge Mateu, & Emilio Porcu. (2012). Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach. Journal of the American Statistical Association. 107(497). 268–280. 101 indexed citations
16.
Comas, C., Jorge Mateu, & Pedro Delicado. (2011). On tree intensity estimation for forest inventories: Some statistical issues. Biometrical Journal. 53(6). 994–1010. 4 indexed citations
17.
Mateu, Jorge. (2011). Spatially correlated functional data. Aisberg (University of Bergamo). 1–4. 1 indexed citations
18.
Giraldo, Ramón, Pedro Delicado, & Jorge Mateu. (2011). Geostatistics with infinite dimensional data: a generalization of cokriging and multivariable spatial prediction. 9(1). 16–21. 2 indexed citations
19.
Comas, C. & Jorge Mateu. (2007). On soft and hard particle motions for stochastic marked point processes. Journal of Statistical Computation and Simulation. 77(12). 1091–1121. 3 indexed citations
20.
Mateu, Jorge & Gil Lorenzo Valentín. (2002). Detección de rasgos en imágenes binarias mediante procesos puntuales espaciales marcados. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 26(1). 61–85. 1 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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