Maria Grazia Pittau

37 papers and 1.4k indexed citations i.

About

Maria Grazia Pittau is a scholar working on Sociology and Political Science, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Maria Grazia Pittau has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Sociology and Political Science, 16 papers in Economics and Econometrics and 6 papers in Artificial Intelligence. Recurrent topics in Maria Grazia Pittau’s work include Income, Poverty, and Inequality (19 papers), Economic Growth and Productivity (7 papers) and Bayesian Methods and Mixture Models (5 papers). Maria Grazia Pittau is often cited by papers focused on Income, Poverty, and Inequality (19 papers), Economic Growth and Productivity (7 papers) and Bayesian Methods and Mixture Models (5 papers). Maria Grazia Pittau collaborates with scholars based in Italy, Canada and United States. Maria Grazia Pittau's co-authors include Andrew Gelman, Aleks Jakulin, Yu‐Sung Su, Roberto Zelli, Riccardo Massari, Gordon Anderson, Paul A. Johnson, Nicholas T. Longford, Alessio Farcomeni and Giulia Di Stefano and has published in prestigious journals such as Journal of Econometrics, Journal of the Royal Statistical Society Series C (Applied Statistics) and Social Indicators Research.

In The Last Decade

Co-authorship network of co-authors of Maria Grazia Pittau i

Fields of papers citing papers by Maria Grazia Pittau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Grazia Pittau. 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 Maria Grazia Pittau. The network helps show where Maria Grazia Pittau may publish in the future.

Countries citing papers authored by Maria Grazia Pittau

Since Specialization
Citations

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