Manuel Galea

1.7k total citations
88 papers, 1.3k citations indexed

About

Manuel Galea is a scholar working on Statistics and Probability, Environmental Engineering and Economics and Econometrics. According to data from OpenAlex, Manuel Galea has authored 88 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Statistics and Probability, 25 papers in Environmental Engineering and 23 papers in Economics and Econometrics. Recurrent topics in Manuel Galea's work include Advanced Statistical Methods and Models (41 papers), Statistical Methods and Bayesian Inference (31 papers) and Statistical Methods and Inference (27 papers). Manuel Galea is often cited by papers focused on Advanced Statistical Methods and Models (41 papers), Statistical Methods and Bayesian Inference (31 papers) and Statistical Methods and Inference (27 papers). Manuel Galea collaborates with scholars based in Chile, Brazil and United States. Manuel Galea's co-authors include Gilberto A. Paula, Víctor Leiva, Miguel Ángel Uribe-Opazo, Heleno Bolfarine, Michelli Barros, Felipe Osorio, Mário de Castro, Francisco José A. Cysneiros, Helton Saulo and Fernanda De Bastiani and has published in prestigious journals such as The Journal of Urology, Analytica Chimica Acta and Statistics in Medicine.

In The Last Decade

Manuel Galea

81 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
Manuel Galea Chile 20 920 209 208 200 181 88 1.3k
Francisco José A. Cysneiros Brazil 21 687 0.7× 58 0.3× 148 0.7× 239 1.2× 65 0.4× 61 1.1k
Gilberto A. Paula Brazil 26 1.6k 1.8× 82 0.4× 383 1.8× 344 1.7× 79 0.4× 92 1.9k
Aristidis K. Nikoloulopoulos United Kingdom 17 382 0.4× 116 0.6× 80 0.4× 144 0.7× 254 1.4× 29 1.1k
M.D. Jiménez–Gamero Spain 17 897 1.0× 38 0.2× 133 0.6× 262 1.3× 39 0.2× 97 1.3k
Brajendra C. Sutradhar Canada 17 707 0.8× 36 0.2× 35 0.2× 215 1.1× 199 1.1× 113 979
Siegfried Hörmann United States 18 405 0.4× 143 0.7× 51 0.2× 98 0.5× 388 2.1× 42 1.1k
John Deely New Zealand 16 341 0.4× 45 0.2× 109 0.5× 148 0.7× 95 0.5× 53 832
Sophie Dabo‐Niang France 15 286 0.3× 190 0.9× 23 0.1× 186 0.9× 114 0.6× 72 669
Jean‐François Quessy Canada 17 418 0.5× 62 0.3× 38 0.2× 119 0.6× 211 1.2× 55 1.1k
Carolina Marchant Chile 16 531 0.6× 104 0.5× 282 1.4× 125 0.6× 58 0.3× 30 827

Countries citing papers authored by Manuel Galea

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Galea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Galea

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Galea. A scholar is included among the top collaborators of Manuel Galea 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 Manuel Galea. Manuel Galea 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.
Galea, Manuel & Mário de Castro. (2023). Conditional likelihood inference in a heteroscedastic functional measurement error model. Chemometrics and Intelligent Laboratory Systems. 243. 105005–105005. 1 indexed citations
2.
Osorio, Felipe, et al.. (2023). Addressing non-normality in multivariate analysis using the t-distribution. AStA Advances in Statistical Analysis. 107(4). 785–813. 1 indexed citations
3.
Uribe-Opazo, Miguel Ángel, et al.. (2023). Spatial variability of wheat yield using the gaussian spatial linear model. Australian Journal of Crop Science. 179–189. 2 indexed citations
4.
Bastiani, Fernanda De, et al.. (2022). Selection Criterion of Working Correlation Structure for Spatially Correlated Data. The American Statistician. 77(3). 283–291. 1 indexed citations
5.
Leiva, Víctor, et al.. (2020). Birnbaum-Saunders Quantile Regression Models with Application to Spatial Data. Mathematics. 8(6). 1000–1000. 30 indexed citations
6.
Uribe-Opazo, Miguel Ángel, et al.. (2020). Influence diagnostics on a reparameterized t-Student spatial linear model. Spatial Statistics. 41. 100481–100481. 6 indexed citations
7.
Leiva, Víctor, et al.. (2020). Global and local diagnostic analytics for a geostatistical model based on a new approach to quantile regression. Stochastic Environmental Research and Risk Assessment. 34(10). 1457–1471. 18 indexed citations
8.
Leiva, Víctor, et al.. (2020). Birnbaum‐Saunders quantile regression and its diagnostics with application to economic data. Applied Stochastic Models in Business and Industry. 37(1). 53–73. 45 indexed citations
9.
Galea, Manuel & Mário de Castro. (2017). Robust inference in a linear functional model with replications using the t distribution. Journal of Multivariate Analysis. 160. 134–145. 3 indexed citations
10.
Bolfarine, Heleno, et al.. (2014). Robust linear functional mixed models. Journal of Multivariate Analysis. 134. 82–98. 5 indexed citations
11.
Galea, Manuel, et al.. (2012). Influence measures on corrected score estimators in functional heteroscedastic measurement error models. Journal of Multivariate Analysis. 114. 1–15. 16 indexed citations
12.
Paula, Gilberto A., et al.. (2012). Influence diagnostics for elliptical semiparametric mixed models. Statistical Modelling. 12(2). 165–193. 15 indexed citations
13.
Uribe-Opazo, Miguel Ángel, et al.. (2011). Influence diagnostics in Gaussian spatial linear models. Journal of Applied Statistics. 39(3). 615–630. 43 indexed citations
14.
Leiva, Víctor, et al.. (2010). Influence diagnostics on the coefficient of variation of elliptically contoured distributions. Journal of Applied Statistics. 38(3). 513–532. 10 indexed citations
15.
Galea, Manuel, et al.. (2010). The structural Sharpe model under t -distributions. Journal of Applied Statistics. 37(12). 1979–1990. 5 indexed citations
16.
Castro, Mário de, Manuel Galea, & Heleno Bolfarine. (2008). Hypothesis testing in an errors‐in‐variables model with heteroscedastic measurement errors. Statistics in Medicine. 27(25). 5217–5234. 22 indexed citations
17.
Galea, Manuel, José A. Dı́az-Garcı́a, & Filidor Vilca. (2008). Influence diagnostics in the capital asset pricing model under elliptical distributions. Journal of Applied Statistics. 35(2). 179–192. 9 indexed citations
18.
Galea, Manuel, et al.. (2007). Influential Observations in the Functional Measurement Error Model. Journal of Applied Statistics. 34(10). 1165–1183. 3 indexed citations
19.
Galea, Manuel, Heleno Bolfarine, & Filidor Vilca. (2005). Local Influence in Comparative Calibration Models Under Ellipticalt -Distributions. Biometrical Journal. 47(5). 691–706. 8 indexed citations
20.
Arellano‐Valle, Reinaldo B., et al.. (2000). Bayesian sensitivity analysis in elliptical linear regression models. Journal of Statistical Planning and Inference. 86(1). 175–199. 14 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

Breakdown of academic impact, for papers by Francisco José A. Cysneiros Breakdown of academic impact, for papers by Gilberto A. Paula Breakdown of academic impact, for papers by Aristidis K. Nikoloulopoulos Breakdown of academic impact, for papers by M.D. Jiménez–Gamero Breakdown of academic impact, for papers by Brajendra C. Sutradhar Breakdown of academic impact, for papers by Siegfried Hörmann Breakdown of academic impact, for papers by John Deely Breakdown of academic impact, for papers by Sophie Dabo‐Niang Breakdown of academic impact, for papers by Jean‐François Quessy Breakdown of academic impact, for papers by Carolina Marchant
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