Marco Di Marzio

34 papers and 366 indexed citations i.

About

Marco Di Marzio is a scholar working on Statistics and Probability, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Marco Di Marzio has authored 34 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 8 papers in Environmental Engineering. Recurrent topics in Marco Di Marzio’s work include Statistical Methods and Inference (17 papers), Bayesian Methods and Mixture Models (13 papers) and Soil Geostatistics and Mapping (8 papers). Marco Di Marzio is often cited by papers focused on Statistical Methods and Inference (17 papers), Bayesian Methods and Mixture Models (13 papers) and Soil Geostatistics and Mapping (8 papers). Marco Di Marzio collaborates with scholars based in Italy and United Kingdom. Marco Di Marzio's co-authors include Charles Taylor, Gian Mario Tiboni, Maria Cristina Budani, Luca A. Ramenghi, Eligio Pizzigallo, Giuseppe Sabatino, Kanti V. Mardia, Lucio Barabesi and Andrea Cerioli and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Marco Di Marzio i

Fields of papers citing papers by Marco Di Marzio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Di Marzio. 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 Marco Di Marzio. The network helps show where Marco Di Marzio may publish in the future.

Countries citing papers authored by Marco Di Marzio

Since Specialization
Citations

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