Mário de Castro
- Statistics and Probability top 0.2%
- Statistical Methods and Bayesian Inference 27
- Statistical Distribution Estimation and Applications 26
- Statistical Methods and Inference 22
- Advanced Statistical Methods and Models 19
- Statistical Methods in Clinical Trials 11
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- Advanced Statistical Process Monitoring 4
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- Optimal Experimental Design Methods 10
- Finance top 5%
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- Bayesian Methods and Mixture Models 12
- Co-authors
- Gauss M. CordeiroJosemar RodriguesVicente G. CanchoN. BalakrishnanHeleno BolfarineManuel GaleaFrancisco LouzadaJorge L. Bazán
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- Journal of Statistical Computation and Simulation (6 papers)Computational Statistics & Data Analysis (4 papers)Statistical Papers (4 papers)
- Partner nations
- BrazilChileUnited States
In The Last Decade
Mário de Castro
64 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Statistics and Probability 1.4k
- Statistics, Probability and Uncertainty 590
- Management Science and Operations Research 233
- Finance 169
- Safety, Risk, Reliability and Quality 109
Countries citing papers authored by Mário de Castro
This map shows the geographic impact of Mário de 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 Mário de Castro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mário de Castro more than expected).
Fields of papers citing papers by Mário de Castro
This network shows the impact of papers produced by Mário de 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 Mário de Castro. The network helps show where Mário de Castro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mário de Castro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 0 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 12 | |
| 6 | 2020 | 21 | |
| 7 | 2020 | 0 | |
| 8 | 2017 | 3 | |
| 9 | 2016 | 25 | |
| 10 | 2014 | 2 | |
| 11 | 2011 | 60 | |
| 12 | 2010 | 50 | |
| 13 | 2010 | 13 | |
| 14 | 2010 | 5 | |
| 15 | 2010 | 14 | |
| 16 | 2009 | 39 | |
| 17 | Untitled. [Letter to the Editor] | 2008 | 5 |
| 18 | 2008 | 22 | |
| 19 | 2007 | 2 | |
| 20 | 2007 | 7 |
About Mário de Castro
Mário de Castro is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (27 papers), Statistical Distribution Estimation and Applications (26 papers), Statistical Methods and Inference (22 papers), Advanced Statistical Methods and Models (19 papers), Bayesian Methods and Mixture Models (12 papers), Statistical Methods in Clinical Trials (11 papers), Optimal Experimental Design Methods (10 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Statistics and Probability (1.4k citations), Statistics, Probability and Uncertainty (590 citations) and Management Science and Operations Research (233 citations). Mário de Castro has collaborated with scholars based in Brazil, Chile and United States. Frequent co-authors include Gauss M. Cordeiro, Josemar Rodrigues, Vicente G. Cancho, N. Balakrishnan, Heleno Bolfarine, Manuel Galea, Francisco Louzada, Jorge L. Bazán, Odemir Martinez Bruno and João B. Florindo. Their work appears in journals such as Journal of Statistical Computation and Simulation, Computational Statistics & Data Analysis, Statistical Papers, Chemometrics and Intelligent Laboratory Systems and Biometrics.
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.