Barbara Pacini

About

Barbara Pacini is a scholar working on Statistics and Probability, Economics and Econometrics and Organic Chemistry. According to data from OpenAlex, Barbara Pacini has authored 19 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 5 papers in Economics and Econometrics and 3 papers in Organic Chemistry. Recurrent topics in Barbara Pacini’s work include Advanced Causal Inference Techniques (9 papers), Statistical Methods and Bayesian Inference (8 papers) and Statistical Methods and Inference (7 papers). Barbara Pacini is often cited by papers focused on Advanced Causal Inference Techniques (9 papers), Statistical Methods and Bayesian Inference (8 papers) and Statistical Methods and Inference (7 papers). Barbara Pacini collaborates with scholars based in Italy, Sweden and United States. Barbara Pacini's co-authors include Fabrizia Mealli, Giampiero M. Gallo, Giuliano Giambastiani, Giovanni Poli, Donald B. Rubin, Paolo Frumento, Marina Porcelloni, Steven Thomas, Marcello Di Filippo and Victor G. Matassa and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Journal of Medicinal Chemistry.

In The Last Decade

Co-authorship network of co-authors of Barbara Pacini i

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Fields of papers citing papers by Barbara Pacini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Barbara Pacini

Since Specialization

Citations

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