Mattias Villani

72 papers and 1.9k indexed citations i.

About

Mattias Villani is a scholar working on Statistics and Probability, Artificial Intelligence and General Economics, Econometrics and Finance. According to data from OpenAlex, Mattias Villani has authored 72 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistics and Probability, 26 papers in Artificial Intelligence and 20 papers in General Economics, Econometrics and Finance. Recurrent topics in Mattias Villani’s work include Statistical Methods and Inference (22 papers), Bayesian Methods and Mixture Models (21 papers) and Monetary Policy and Economic Impact (20 papers). Mattias Villani is often cited by papers focused on Statistical Methods and Inference (22 papers), Bayesian Methods and Mixture Models (21 papers) and Monetary Policy and Economic Impact (20 papers). Mattias Villani collaborates with scholars based in Sweden, Australia and United Kingdom. Mattias Villani's co-authors include Jesper Lindé, Malin Adolfson, Stefan Laséen, Robert Kohn, Paolo Giordani, Matias Quiroz, Anders Eklund, Minh‐Ngoc Tran, Jukka Corander and Stephen M. LaConte and has published in prestigious journals such as Journal of the American Statistical Association, NeuroImage and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Mattias Villani i

Fields of papers citing papers by Mattias Villani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mattias Villani

Since Specialization
Citations

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