M. D. Ugarte

3.4k total citations
126 papers, 2.3k citations indexed

About

M. D. Ugarte is a scholar working on Economics and Econometrics, Statistics and Probability and Epidemiology. According to data from OpenAlex, M. D. Ugarte has authored 126 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Economics and Econometrics, 37 papers in Statistics and Probability and 21 papers in Epidemiology. Recurrent topics in M. D. Ugarte's work include Spatial and Panel Data Analysis (33 papers), Statistical Methods and Bayesian Inference (25 papers) and Statistical Methods and Inference (23 papers). M. D. Ugarte is often cited by papers focused on Spatial and Panel Data Analysis (33 papers), Statistical Methods and Bayesian Inference (25 papers) and Statistical Methods and Inference (23 papers). M. D. Ugarte collaborates with scholars based in Spain, United Kingdom and United States. M. D. Ugarte's co-authors include Ana F. Militino, T. Goicoa, Aritz Adín, Jaione Etxeberria, C. B. Dean, Itziar A. Montalbán, Berta Ibáñez, Mehdi Moradi, Paloma Moncaleán and María Luisa Sanz de Acedo Lizárraga and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

M. D. Ugarte

122 papers receiving 2.2k citations

Peers

M. D. Ugarte

EPIDE

Uwe Ligges Germany

John Hinde Ireland

Jon Wakefield United States

Bertram Price United States

Thomas Augustin Germany

Gerhard Tutz Germany

Daniel Wartenberg United States

Thomas W. Yee New Zealand

Anders Brix United Kingdom

P. McCullagh United Kingdom

Uwe Ligges Germany

M. D. Ugarte

219 ×0.3

430 ×0.9

139 ×0.5

EPIDE

215 ×0.8

74 ×0.3

Citations per year, relative to M. D. Ugarte M. D. Ugarte (= 1×) peers Uwe Ligges

Countries citing papers authored by M. D. Ugarte

Since Specialization

Citations

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

Fields of papers citing papers by M. D. Ugarte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. D. Ugarte

This figure shows the co-authorship network connecting the top 25 collaborators of M. D. Ugarte. A scholar is included among the top collaborators of M. D. Ugarte 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. D. Ugarte. M. D. Ugarte 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

Gelfand, Alan E., et al.. (2025). On prior smoothing with discrete spatial data in the context of disease mapping. Statistical Methods in Medical Research. 34(10). 2091–2107.

Goicoa, T., et al.. (2024). A fast approach for analyzing spatio-temporal patterns in ischemic heart disease mortality across US counties (1999–2021). Spatial and Spatio-temporal Epidemiology. 52. 100700–100700.

Militino, Ana F., et al.. (2024). Logistic regression versus XGBoost for detecting burned areas using satellite images. Environmental and Ecological Statistics. 31(1). 57–77. 9 indexed citations

Etxeberria, Jaione, et al.. (2023). Predicting cancer incidence in regions without population-based cancer registries using mortality. Journal of the Royal Statistical Society Series A (Statistics in Society). 186(4). 874–889.

Montesino, M., et al.. (2023). Unpaired spatio-temporal fusion of image patches (USTFIP) from cloud covered images. Remote Sensing of Environment. 295. 113709–113709. 4 indexed citations

Adín, Aritz, et al.. (2023). High-dimensional order-free multivariate spatial disease mapping. Statistics and Computing. 33(5). 6 indexed citations

Goicoa, T., et al.. (2022). Evaluating recent methods to overcome spatial confounding. Revista Matemática Complutense. 36(2). 333–360. 15 indexed citations

Rueda, Cristina, et al.. (2022). A unique cardiac electrocardiographic 3D model. Toward interpretable AI diagnosis. iScience. 25(12). 105617–105617. 5 indexed citations

Moradi, Mehdi, M. Montesino, M. D. Ugarte, & Ana F. Militino. (2021). Locally adaptive change-point detection (LACPD) with applications to environmental changes. Stochastic Environmental Research and Risk Assessment. 36(1). 251–269. 1 indexed citations

10.

Militino, Ana F., et al.. (2020). Using RGISTools to Estimate Water Levels in Reservoirs and Lakes. Remote Sensing. 12(12). 1934–1934. 6 indexed citations

11.

Montalbán, Itziar A., Emilia Dell’Aversana, Luisa D’Amelia, et al.. (2019). Effect of Thermal Stress on Tissue Ultrastructure and Metabolite Profiles During Initiation of Radiata Pine Somatic Embryogenesis. Frontiers in Plant Science. 9. 2004–2004. 30 indexed citations

12.

Adín, Aritz, Daniel Martínez-Bello, Antonio López‐Quílez, & M. D. Ugarte. (2018). Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia. PLoS ONE. 13(9). e0203382–e0203382. 13 indexed citations

13.

Moncaleán, Paloma, Ondřej Novák, Miroslav Strnad, et al.. (2018). Temperature and Water Availability During Maturation Affect the Cytokinins and Auxins Profile of Radiata Pine Somatic Embryos. Frontiers in Plant Science. 9. 1898–1898. 20 indexed citations

14.

Etxeberria, Jaione, T. Goicoa, Gonzalo López‐Abente, Andrea Riebler, & M. D. Ugarte. (2017). Spatial gender-age-period-cohort analysis of pancreatic cancer mortality in Spain (1990–2013). PLoS ONE. 12(2). e0169751–e0169751. 20 indexed citations

15.

Ugarte, M. D., et al.. (2011). An Explanatory Model of the Relations Between Cognitive and Motivational Variables and Academic Goals. Revista de Psicodidáctica. 16(1). 19–38. 20 indexed citations

16.

Ugarte, M. D., et al.. (2009). Estimating unemployment in very small areas. QRU Quaderns de Recerca en Urbanisme. 33(1). 49–70. 6 indexed citations

17.

Militino, Ana F., M. D. Ugarte, & T. Goicoa. (2007). A BLUP Synthetic Versus an EBLUP Estimator: An Empirical Study of a Small Area Estimation Problem. Journal of Applied Statistics. 34(2). 153–165. 11 indexed citations

18.

Ugarte, M. D., et al.. (2005). A cohort study to estimate occupational mortality risks in Navarra. European Journal of Public Health. 15(3). 305–312. 2 indexed citations

19.

Lizárraga, María Luisa Sanz de Acedo, et al.. (2003). Desarrollo y validación de un Cuestionario de Metas para Adolescentes. Psicothema. 15(3). 493–499. 14 indexed citations

20.

Militino, Ana F., M. D. Ugarte, & C. B. Dean. (2001). The use of mixture models for identifying high risks in disease mapping. Statistics in Medicine. 20(13). 2035–2049. 28 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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