Bruno Betrò
- Artificial Intelligence
- Statistics and Probability top 5%
- Computational Theory and Mathematics top 10%
- Management Science and Operations Research
- Numerical Analysis top 10%
- Co-authors
- Fabio SchoenFabrizio RuggeriFrancesco ArchettiR. RotondiAntonella BodiniCarlo VercellisM. Grazia SperanzaAlessandra Guglielmi
- Topics
- Bayesian Methods and Mixture Models (6 papers)Advanced Statistical Methods and Models (4 papers)Advanced Statistical Process Monitoring (4 papers)
In The Last Decade
Bruno Betrò
21 papers receiving 178 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 84
- Statistics and Probability 70
- Computational Theory and Mathematics 52
- Management Science and Operations Research 38
- Numerical Analysis 33
Countries citing papers authored by Bruno Betrò
This map shows the geographic impact of Bruno Betrò'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 Bruno Betrò with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Betrò more than expected).
Fields of papers citing papers by Bruno Betrò
This network shows the impact of papers produced by Bruno Betrò. 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 Bruno Betrò. The network helps show where Bruno Betrò may publish in the future.
Co-authorship network of co-authors of Bruno Betrò
This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Betrò. A scholar is included among the top collaborators of Bruno Betrò 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 Bruno Betrò. Bruno Betrò is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 20 | |
| 4 | 2 | |
| 5 | Robust Bayesian analysis for the Power Law process | 1 |
| 6 | 21 | |
| 7 | 2 | |
| 8 | 16 | |
| 9 | 25 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | Monte Carlo methods in numerical integration and optimization | 5 |
| 13 | 3 | |
| 14 | A STOCHASTIC ENVIRONMENT FOR THE ADAPTIVE CONTROL OF SINGLE INTERSECTION | 5 |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 11 | |
| 19 | 18 | |
| 20 | A Theoretical Framework for Global Optimization via Random Sampling | 12 |
About Bruno Betrò
Bruno Betrò is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Computer Graphics and Computer-Aided Design, having authored 22 papers that have together received 202 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (4 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Statistics and Probability (70 citations), Numerical Analysis (33 citations) and Statistics, Probability and Uncertainty (33 citations). Bruno Betrò has collaborated with scholars based in Italy and Poland. Frequent co-authors include Fabio Schoen, Fabrizio Ruggeri, Francesco Archetti, R. Rotondi, Antonella Bodini, Carlo Vercellis, M. Grazia Speranza, Alessandra Guglielmi, Michele Stucchi and M. Di Natale. Their work appears in journals such as European Journal of Operational Research, Mathematical Programming and Computers & Mathematics with Applications.
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.