Cristina Sotto
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference 11
- Statistical Methods and Inference 5
- Statistical Methods in Clinical Trials 5
- Survey Sampling and Estimation Techniques 2
- Advanced Statistical Methods and Models 1
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- Optimal Experimental Design Methods 2
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- Probabilistic and Robust Engineering Design 1
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- Bayesian Methods and Mixture Models 2
- Co-authors
- Geert MolenberghsCaroline BeunckensMichael G. KenwardGeert VerbekeChristof WolfAnnouschka LaenenHelena GeysTony Vangeneugden
- Journals
- Journal of the Royal Statistical Society Series B (Statistical Methodology) (1 paper)Public Opinion Quarterly (1 paper)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)
- Partner nations
- BelgiumPhilippinesUnited Kingdom
In The Last Decade
Cristina Sotto
11 papers receiving 294 citations
Peers
Comparison fields: 5 of 73
- Statistics and Probability 225
- Management Science and Operations Research 33
- Health 22
- Statistics, Probability and Uncertainty 18
- Neuropsychology and Physiological Psychology 3
Countries citing papers authored by Cristina Sotto
This map shows the geographic impact of Cristina Sotto'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 Cristina Sotto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Sotto more than expected).
Fields of papers citing papers by Cristina Sotto
This network shows the impact of papers produced by Cristina Sotto. 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 Cristina Sotto. The network helps show where Cristina Sotto may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Cristina Sotto, 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 | 2015 | 6 | |
| 2 | 2011 | 7 | |
| 3 | 2011 | 25 | |
| 4 | Marginal correlation in longitudinal binary data based on generalized linear mixed models | 2010 | 1 |
| 5 | 2010 | 6 | |
| 6 | 2010 | 4 | |
| 7 | 2009 | 6 | |
| 8 | EVERY MISSING NOT AT RANDOM MODEL HAS GOT A MISSING AT RANDOM COUNTERPART WITH EQUAL FIT | 2008 | 45 |
| 9 | 2008 | 1 | |
| 10 | 2008 | 151 | |
| 11 | 2007 | 60 |
About Cristina Sotto
Cristina Sotto is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 11 papers that have together received 312 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (11 papers), Statistical Methods and Inference (5 papers), Statistical Methods in Clinical Trials (5 papers), Bayesian Methods and Mixture Models (2 papers), Optimal Experimental Design Methods (2 papers), Survey Sampling and Estimation Techniques (2 papers), Probabilistic and Robust Engineering Design (1 paper) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Statistics and Probability (225 citations), Management Science and Operations Research (33 citations) and Health (22 citations). Cristina Sotto has collaborated with scholars based in Belgium, Philippines and United Kingdom. Frequent co-authors include Geert Molenberghs, Caroline Beunckens, Michael G. Kenward, Geert Verbeke, Christof Wolf, Annouschka Laenen, Helena Geys, Tony Vangeneugden, José Cortiñas Abrahantes and Ivy Jansen. Their work appears in journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), Public Opinion Quarterly and Journal of the Royal Statistical Society Series C (Applied Statistics).
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.