Luis M. Castro

77 total papers · 744 total citations
43 papers, 408 citations indexed

About

Luis M. Castro is a scholar working on Statistics and Probability, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Luis M. Castro has authored 43 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 4 papers in Environmental Engineering. Recurrent topics in Luis M. Castro's work include Statistical Methods and Bayesian Inference (26 papers), Statistical Distribution Estimation and Applications (22 papers) and Bayesian Methods and Mixture Models (20 papers). Luis M. Castro is often cited by papers focused on Statistical Methods and Bayesian Inference (26 papers), Statistical Distribution Estimation and Applications (22 papers) and Bayesian Methods and Mixture Models (20 papers). Luis M. Castro collaborates with scholars based in Chile, Brazil and United States. Luis M. Castro's co-authors include Víctor H. Lachos, Reinaldo B. Arellano‐Valle, Dipak K. Dey, Héctor W. Gómez, Wan‐Lun Wang, Tsung‐I Lin, Dipankar Bandyopadhyay, Ernesto San Martı́n, Graciela González–Farías and Marc G. Genton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Biometrics.

In The Last Decade

Luis M. Castro

41 papers receiving 400 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Luis M. Castro 327 181 46 43 37 43 408
Stephen G. Walker 292 0.9× 185 1.0× 51 1.1× 36 0.8× 38 1.0× 38 447
Athanasios C. Micheas 158 0.5× 90 0.5× 52 1.1× 35 0.8× 27 0.7× 32 399
Minh‐Ngoc Tran 234 0.7× 220 1.2× 41 0.9× 22 0.5× 57 1.5× 39 404
María Virtudes Alba Fernández 275 0.8× 102 0.6× 15 0.3× 85 2.0× 42 1.1× 49 490
Ryan Martin 303 0.9× 290 1.6× 88 1.9× 73 1.7× 16 0.4× 64 470
Gerald L. Sievers 325 1.0× 40 0.2× 74 1.6× 60 1.4× 44 1.2× 22 458
B. K. Kale 292 0.9× 96 0.5× 66 1.4× 107 2.5× 22 0.6× 38 416
Ali Gannoun 316 1.0× 99 0.5× 77 1.7× 49 1.1× 110 3.0× 44 454
Xin Dang 141 0.4× 190 1.0× 69 1.5× 49 1.1× 38 1.0× 43 454
Nicola Sartori 295 0.9× 72 0.4× 34 0.7× 50 1.2× 27 0.7× 39 421

Countries citing papers authored by Luis M. Castro

Since Specialization
Citations

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

Fields of papers citing papers by Luis M. Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis M. Castro

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

All Works

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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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