Marco Scutari

54 papers and 2.2k indexed citations i.

About

Marco Scutari is a scholar working on Artificial Intelligence, Statistics and Probability and Pharmacology. According to data from OpenAlex, Marco Scutari has authored 54 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 11 papers in Statistics and Probability and 8 papers in Pharmacology. Recurrent topics in Marco Scutari’s work include Bayesian Modeling and Causal Inference (20 papers), Bayesian Methods and Mixture Models (8 papers) and Musculoskeletal pain and rehabilitation (8 papers). Marco Scutari is often cited by papers focused on Bayesian Modeling and Causal Inference (20 papers), Bayesian Methods and Mixture Models (8 papers) and Musculoskeletal pain and rehabilitation (8 papers). Marco Scutari collaborates with scholars based in Switzerland, United Kingdom and Italy. Marco Scutari's co-authors include Radhakrishnan Nagarajan, Sophie Lèbre, Jean‐Baptiste Denis, Ian Mackay, David J. Balding, José Manuel Gutiérrez, Giovanni Briganti, Claudia Vitolo, Allan Tucker and Richard J. McNally and has published in prestigious journals such as PLoS ONE, Genetics and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Marco Scutari i

Fields of papers citing papers by Marco Scutari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Scutari

Since Specialization
Citations

This map shows the geographic impact of Marco Scutari'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 Scutari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Scutari 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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2025