Monica Musio

34 papers and 395 indexed citations i.

About

Monica Musio is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Monica Musio has authored 34 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 7 papers in Economics and Econometrics. Recurrent topics in Monica Musio’s work include Advanced Statistical Methods and Models (8 papers), Statistical Methods and Bayesian Inference (8 papers) and Statistical Methods and Inference (7 papers). Monica Musio is often cited by papers focused on Advanced Statistical Methods and Models (8 papers), Statistical Methods and Bayesian Inference (8 papers) and Statistical Methods and Inference (7 papers). Monica Musio collaborates with scholars based in Italy, United Kingdom and Germany. Monica Musio's co-authors include A. P. Dawid, Nicole H. Augustin, Klaus von Wilpert, Laura Ventura, Edgar Kublin, Simon N. Wood, Martin Schumacher, Erik Sauleau, A. Buémi and Stephen E. Fienberg and has published in prestigious journals such as Journal of the American Statistical Association, Ecological Modelling and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

Co-authorship network of co-authors of Monica Musio i

Fields of papers citing papers by Monica Musio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Monica Musio

Since Specialization
Citations

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