Sonia Migliorati
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference 6
- Survey Sampling and Estimation Techniques 5
- Statistical Distribution Estimation and Applications 3
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- Environmental Toxicology and Ecotoxicology 4
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- Pesticide and Herbicide Environmental Studies 3
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- Bayesian Methods and Mixture Models 15
- Geochemistry and Geologic Mapping 7
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- Hydrocarbon exploration and reservoir analysis 3
- Co-authors
- Gianna Serafina MontiMarco VighiAndrea OngaroSara VillaIvan HoloubekSerenella SalaGian Carlo BlangiardoAndreu Rico
- Journals
- SHILAP Revista de lepidopterología (3 papers)Statistics in Medicine (3 papers)Environmental Toxicology and Chemistry (2 papers)
In The Last Decade
Sonia Migliorati
26 papers receiving 258 citations
Peers
Comparison fields: 5 of 91
- Statistics and Probability 56
- Health, Toxicology and Mutagenesis 87
- Pollution 52
- Chemical Health and Safety 2
- Environmental Chemistry 29
Countries citing papers authored by Sonia Migliorati
This map shows the geographic impact of Sonia Migliorati'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 Sonia Migliorati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Migliorati more than expected).
Fields of papers citing papers by Sonia Migliorati
This network shows the impact of papers produced by Sonia Migliorati. 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 Sonia Migliorati. The network helps show where Sonia Migliorati may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Sonia Migliorati, 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 | 2025 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 6 | |
| 5 | 2020 | 6 | |
| 6 | 2019 | 11 | |
| 7 | 2017 | 29 | |
| 8 | 2017 | 6 | |
| 9 | 2016 | 11 | |
| 10 | 2014 | 1 | |
| 11 | 2012 | 39 | |
| 12 | 2012 | 16 | |
| 13 | 2012 | 23 | |
| 14 | 2008 | 46 | |
| 15 | E-M algorithm: an application to a mixture model for compositional data | 2008 | 5 |
| 16 | 2007 | 2 | |
| 17 | 2007 | 3 | |
| 18 | 2007 | 0 | |
| 19 | Center sampling: from applicative issues to methodological aspects | 2004 | 6 |
| 20 | Uniformly most powerful tests for two-sided hypotheses | 2002 | 2 |
About Sonia Migliorati
Sonia Migliorati is a scholar working on Statistics and Probability, Artificial Intelligence and Health, Toxicology and Mutagenesis, having authored 28 papers that have together received 264 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (15 papers), Geochemistry and Geologic Mapping (7 papers), Statistical Methods and Bayesian Inference (6 papers), Survey Sampling and Estimation Techniques (5 papers), Environmental Toxicology and Ecotoxicology (4 papers), Pesticide and Herbicide Environmental Studies (3 papers), Statistical Distribution Estimation and Applications (3 papers) and Hydrocarbon exploration and reservoir analysis (3 papers). The work is most often cited by research in Statistics and Probability (56 citations), Health, Toxicology and Mutagenesis (87 citations) and Pollution (52 citations). Sonia Migliorati has collaborated with scholars based in Italy, Spain and Czechia. Frequent co-authors include Gianna Serafina Monti, Marco Vighi, Andrea Ongaro, Sara Villa, Ivan Holoubek, Serenella Sala, Gian Carlo Blangiardo, Andreu Rico, Enrico Ripamonti and Paolo Parenti. Their work appears in journals such as SHILAP Revista de lepidopterología, Statistics in Medicine and Environmental Toxicology and Chemistry.
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.