Gilberto A. Paula
- Statistics and Probability top 0.1%
- Statistics, Probability and Uncertainty top 0.5%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Finance top 5%
- Co-authors
- Víctor LeivaManuel GaleaMichelli BarrosEdwin M. M. OrtegaFrancisco José A. CysneirosHeleno BolfarineGauss M. CordeiroVicente G. Cancho
- Topics
- Advanced Statistical Methods and Models (48 papers)Statistical Methods and Bayesian Inference (47 papers)Statistical Distribution Estimation and Applications (42 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- PLoS ONEBiometricsBiometrika
- Partner nations
- BrazilChileUnited States
In The Last Decade
Gilberto A. Paula
88 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 105
- Statistics and Probability 1.6k
- Statistics, Probability and Uncertainty 383
- Artificial Intelligence 344
- Management Science and Operations Research 214
- Finance 164
Countries citing papers authored by Gilberto A. Paula
This map shows the geographic impact of Gilberto A. Paula'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 Gilberto A. Paula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilberto A. Paula more than expected).
Fields of papers citing papers by Gilberto A. Paula
This network shows the impact of papers produced by Gilberto A. Paula. 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 Gilberto A. Paula. The network helps show where Gilberto A. Paula may publish in the future.
Co-authorship network of co-authors of Gilberto A. Paula
This figure shows the co-authorship network connecting the top 25 collaborators of Gilberto A. Paula. A scholar is included among the top collaborators of Gilberto A. Paula 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 Gilberto A. Paula. Gilberto A. Paula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 15 | |
| 8 | 3 | |
| 9 | 21 | |
| 10 | 6 | |
| 11 | 24 | |
| 12 | 75 | |
| 13 | 59 | |
| 14 | 24 | |
| 15 | 14 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 40 | |
| 19 | 8 | |
| 20 | 23 |
About Gilberto A. Paula
Gilberto A. Paula is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (48 papers), Statistical Methods and Bayesian Inference (47 papers) and Statistical Distribution Estimation and Applications (42 papers). The work is most often cited by research in Statistics and Probability (1.6k citations), Statistics, Probability and Uncertainty (383 citations) and Management Science and Operations Research (214 citations). Gilberto A. Paula has collaborated with scholars based in Brazil, Chile and United States. Frequent co-authors include Víctor Leiva, Manuel Galea, Michelli Barros, Edwin M. M. Ortega, Francisco José A. Cysneiros, Heleno Bolfarine, Gauss M. Cordeiro, Vicente G. Cancho, Antonio Sanhueza and Felipe Osorio. Their work appears in journals such as PLoS ONE, Biometrics and Biometrika.
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.