Barbara Pacini
Impact in
- Statistics and Probability top 2%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Finance top 5%
- Financial Risk and Volatility Modeling
- Financial Markets and Investment Strategies
Papers in
-
- Advanced Causal Inference Techniques 11
- Statistical Methods and Bayesian Inference 9
- Statistical Methods and Inference 8
- Co-authors
- Fabrizia Mealli (10 shared papers)Giampiero M. Gallo (3 shared papers)Giovanni Poli (3 shared papers)Giuliano Giambastiani (3 shared papers)Donald B. Rubin (2 shared papers)Paolo Frumento (2 shared papers)Marina Porcelloni (1 shared paper)Lucio Picci (1 shared paper)
- Journals
- Computational Statistics & Data Analysis (2 papers)Journal of the American Statistical Association (2 papers)Quality & Quantity (1 paper)Tetrahedron Letters (1 paper)Studies in Nonlinear Dynamics and Econometrics (1 paper)
- Partner nations
- ItalySwitzerlandSweden
In The Last Decade
Barbara Pacini
24 papers receiving 416 citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 138
- Finance 88
- Economics and Econometrics 139
- Organic Chemistry 117
- General Economics, Econometrics and Finance 28
Countries citing papers authored by Barbara Pacini
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).
Fields of papers citing papers by Barbara Pacini
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.
Co-authors
The 25 scholars most cited alongside Barbara Pacini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 88 | |
| 2 | 2006 | 72 | |
| 3 | 2012 | 61 | |
| 4 | 2013 | 51 | |
| 5 | 1998 | 42 | |
| 6 | 2001 | 20 | |
| 7 | 2003 | 19 | |
| 8 | 1993 | 17 | |
| 9 | 2014 | 14 | |
| 10 | 2008 | 12 | |
| 11 | 1998 | 11 | |
| 12 | Introduzione alla statistica | 2001 | 11 |
| 13 | 2016 | 10 | |
| 14 | 2015 | 5 | |
| 15 | 2021 | 2 | |
| 16 | Exploiting instrumental variables in causal Inference with nonignorable outcome nonresponse using principal stratification | 2008 | 2 |
| 17 | 2019 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2012 | 1 | |
| 20 | 2022 | 1 |
About Barbara Pacini
Barbara Pacini is a scholar working on Statistics and Probability, Economics and Econometrics, Organic Chemistry, Sociology and Political Science and Artificial Intelligence, having authored 26 papers that have together received 447 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (11 papers), Statistical Methods and Bayesian Inference (9 papers), Statistical Methods and Inference (8 papers), Financial Risk and Volatility Modeling (2 papers), Bayesian Modeling and Causal Inference (2 papers), Monetary Policy and Economic Impact (2 papers), Media Influence and Politics (2 papers) and Catalytic Cross-Coupling Reactions (2 papers). The work is most often cited by research in Statistics and Probability (138 citations), Finance (88 citations), Economics and Econometrics (139 citations), Organic Chemistry (117 citations) and General Economics, Econometrics and Finance (28 citations). Barbara Pacini has collaborated with scholars based in Italy, Switzerland and Sweden. Frequent co-authors include Fabrizia Mealli, Giampiero M. Gallo, Giovanni Poli, Giuliano Giambastiani, Donald B. Rubin, Paolo Frumento, Marina Porcelloni, Lucio Picci, Alessandra Mattei and Stefania Colarusso. Their work appears in journals such as Computational Statistics & Data Analysis, Journal of the American Statistical Association, Quality & Quantity, Tetrahedron Letters and Studies in Nonlinear Dynamics and Econometrics.
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.