Rosa Arboretti

64 papers and 1.0k indexed citations i.

About

Rosa Arboretti is a scholar working on Statistics and Probability, Management Science and Operations Research and Food Science. According to data from OpenAlex, Rosa Arboretti has authored 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistics and Probability, 19 papers in Management Science and Operations Research and 7 papers in Food Science. Recurrent topics in Rosa Arboretti’s work include Statistical Methods in Clinical Trials (25 papers), Optimal Experimental Design Methods (18 papers) and Advanced Statistical Methods and Models (15 papers). Rosa Arboretti is often cited by papers focused on Statistical Methods in Clinical Trials (25 papers), Optimal Experimental Design Methods (18 papers) and Advanced Statistical Methods and Models (15 papers). Rosa Arboretti collaborates with scholars based in Italy, Austria and United States. Rosa Arboretti's co-authors include Luigi Salmaso, Stefano Bonnini, Daniele Manfredini, Livio Corain, Luca Guarda‐Nardini, Andria D’Orazio, Licia Iacoviello, Concetta Amore, Maria Benedetta Donati and Cornelis Kluft and has published in prestigious journals such as New England Journal of Medicine, Atmospheric Environment and Food Quality and Preference.

In The Last Decade

Co-authorship network of co-authors of Rosa Arboretti i

Fields of papers citing papers by Rosa Arboretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa Arboretti. 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 Rosa Arboretti. The network helps show where Rosa Arboretti may publish in the future.

Countries citing papers authored by Rosa Arboretti

Since Specialization
Citations

This map shows the geographic impact of Rosa Arboretti'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 Rosa Arboretti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Arboretti more than expected).

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.

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