Pietro Muliere
- Statistics and Probability top 1%
- Artificial Intelligence top 5%
- Economics and Econometrics top 10%
- Finance top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Marco ScarsiniLuca TardellaStephen G. WalkerChiara GigliaranoGiovanni ParmigianiPiercesare SecchiM MezzettiSatya R. Chakravarty
- Topics
- Bayesian Methods and Mixture Models (22 papers)Statistical Methods and Inference (19 papers)Stochastic processes and financial applications (8 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Pietro Muliere
53 papers receiving 592 citations
Peers
Comparison fields: 5 of 99
- Statistics and Probability 316
- Artificial Intelligence 274
- Economics and Econometrics 126
- Finance 116
- Management Science and Operations Research 102
Countries citing papers authored by Pietro Muliere
This map shows the geographic impact of Pietro Muliere'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 Pietro Muliere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pietro Muliere more than expected).
Fields of papers citing papers by Pietro Muliere
This network shows the impact of papers produced by Pietro Muliere. 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 Pietro Muliere. The network helps show where Pietro Muliere may publish in the future.
Co-authorship network of co-authors of Pietro Muliere
This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Muliere. A scholar is included among the top collaborators of Pietro Muliere based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pietro Muliere. Pietro Muliere is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 25 | |
| 5 | 4 | |
| 6 | A Note on Stochastic Dominance and Inequality Measures | 1 |
| 7 | A note on some sequential problems for the equilibrium value of a Vasicek process | 1 |
| 8 | 3 | |
| 9 | 18 | |
| 10 | 9 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | Inverse stochastic orders and generalized Gini functionals | 3 |
| 14 | Welfare indicators: a review and new perspectives. 2. Measurement of poverty | 17 |
| 15 | 6 | |
| 16 | Characterization of Probability Distributions via Binary Associative Operation | 6 |
| 17 | 16 | |
| 18 | Welfare indicators: A review and new perspectives. 1. Measurement of inequality | 14 |
| 19 | 43 | |
| 20 | 7 |
About Pietro Muliere
Pietro Muliere is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty, having authored 55 papers that have together received 635 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (22 papers), Statistical Methods and Inference (19 papers) and Stochastic processes and financial applications (8 papers). The work is most often cited by research in Statistics and Probability (316 citations), General Decision Sciences (38 citations) and Finance (116 citations). Pietro Muliere has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Marco Scarsini, Luca Tardella, Stephen G. Walker, Chiara Gigliarano, Giovanni Parmigiani, Piercesare Secchi, M Mezzetti, Satya R. Chakravarty, Paolo Giudici and Sonia Petrone. Their work appears in journals such as The Annals of Statistics, Journal of Economic Theory and Economics Letters.
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.