Antonietta Mira

87 papers and 2.5k indexed citations i.

About

Antonietta Mira is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Antonietta Mira has authored 87 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistics and Probability, 36 papers in Artificial Intelligence and 16 papers in Economics and Econometrics. Recurrent topics in Antonietta Mira’s work include Bayesian Methods and Mixture Models (28 papers), Markov Chains and Monte Carlo Methods (26 papers) and Statistical Methods and Inference (17 papers). Antonietta Mira is often cited by papers focused on Bayesian Methods and Mixture Models (28 papers), Markov Chains and Monte Carlo Methods (26 papers) and Statistical Methods and Inference (17 papers). Antonietta Mira collaborates with scholars based in Switzerland, Italy and United States. Antonietta Mira's co-authors include Eero Saksman, Heikki Haario, Marko Laine, Luke Tierney, Christian P. Robert, Jean‐Marie Cornuet, Jean‐Michel Marin, Stefano Peluso, Alessandro Lomi and Francesco Bartolucci and has published in prestigious journals such as The Journal of Chemical Physics, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Antonietta Mira i

Fields of papers citing papers by Antonietta Mira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Antonietta Mira

Since Specialization
Citations

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