Gladys D. C. Barriga
- Statistics and Probability top 2%
- Statistical Distribution Estimation and Applications 17
- Statistical Methods and Inference 13
- Statistical Methods and Bayesian Inference 10
- Advanced Statistical Methods and Models 4
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- Probabilistic and Robust Engineering Design 4
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- Reliability and Maintenance Optimization 4
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- Bayesian Methods and Mixture Models 13
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- Optimal Experimental Design Methods 3
- Co-authors
- Francisco LouzadaVicente G. CanchoEdwin M. M. OrtegaGauss M. CordeiroAdriano K. SuzukiDipak K. DeyDaniel JugendElizabeth M. Hashimoto
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintySafety, Risk, Reliability and Quality
- Journals
- Computational Statistics & Data Analysis (2 papers)The Journal of Development Studies (1 paper)International Journal of Quality & Reliability Management (1 paper)
- Partner nations
- BrazilUnited StatesMoldova
In The Last Decade
Gladys D. C. Barriga
30 papers receiving 323 citations
Peers
Comparison fields: 5 of 77
- Statistics and Probability 253
- Statistics, Probability and Uncertainty 130
- Safety, Risk, Reliability and Quality 59
- Medical Laboratory Technology 7
- Radiological and Ultrasound Technology 23
Countries citing papers authored by Gladys D. C. Barriga
This map shows the geographic impact of Gladys D. C. Barriga'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 Gladys D. C. Barriga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gladys D. C. Barriga more than expected).
Fields of papers citing papers by Gladys D. C. Barriga
This network shows the impact of papers produced by Gladys D. C. Barriga. 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 Gladys D. C. Barriga. The network helps show where Gladys D. C. Barriga may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Gladys D. C. Barriga, 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 | 2021 | 2 | |
| 2 | 2021 | 0 | |
| 3 | 2021 | 9 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 8 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 3 | |
| 8 | 2019 | 5 | |
| 9 | 2017 | 3 | |
| 10 | 2016 | 2 | |
| 11 | 2015 | 4 | |
| 12 | 2015 | 16 | |
| 13 | 2014 | 33 | |
| 14 | 2011 | 22 | |
| 15 | The FGM bivariate lifetime copula model: a bayesian approach | 2011 | 3 |
| 16 | 2011 | 7 | |
| 17 | 2011 | 27 | |
| 18 | 2008 | 9 | |
| 19 | 2008 | 1 | |
| 20 | 2003 | 1 |
About Gladys D. C. Barriga
Gladys D. C. Barriga is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 32 papers that have together received 344 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (17 papers), Bayesian Methods and Mixture Models (13 papers), Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (10 papers), Probabilistic and Robust Engineering Design (4 papers), Advanced Statistical Methods and Models (4 papers), Reliability and Maintenance Optimization (4 papers) and Optimal Experimental Design Methods (3 papers). The work is most often cited by research in Statistics and Probability (253 citations), Statistics, Probability and Uncertainty (130 citations) and Safety, Risk, Reliability and Quality (59 citations). Gladys D. C. Barriga has collaborated with scholars based in Brazil, United States and Moldova. Frequent co-authors include Francisco Louzada, Vicente G. Cancho, Edwin M. M. Ortega, Gauss M. Cordeiro, Adriano K. Suzuki, Dipak K. Dey, Daniel Jugend, Elizabeth M. Hashimoto, Linda Lee Ho and Enzo Barbério Mariano. Their work appears in journals such as Computational Statistics & Data Analysis, The Journal of Development Studies and International Journal of Quality & Reliability Management.
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.