Federico Bassetti
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Statistics and Probability top 5%
- Economics and Econometrics top 10%
- Finance top 10%
- Co-authors
- Giuseppe ToscaniRoberto CasarinFabrizio LeisenEugenio RegazziniFrancesco RavazzoloDaniel MatthesIrene CrimaldiAntonella Bodini
- Topics
- Bayesian Methods and Mixture Models (17 papers)Parallel Computing and Optimization Techniques (11 papers)Statistical Methods and Inference (9 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Federico Bassetti
47 papers receiving 431 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 99
- Statistical and Nonlinear Physics 80
- Statistics and Probability 77
- Economics and Econometrics 76
- Finance 62
Countries citing papers authored by Federico Bassetti
This map shows the geographic impact of Federico Bassetti'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 Federico Bassetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Bassetti more than expected).
Fields of papers citing papers by Federico Bassetti
This network shows the impact of papers produced by Federico Bassetti. 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 Federico Bassetti. The network helps show where Federico Bassetti may publish in the future.
Co-authorship network of co-authors of Federico Bassetti
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Bassetti. A scholar is included among the top collaborators of Federico Bassetti 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 Federico Bassetti. Federico Bassetti 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 | 33 | |
| 3 | 9 | |
| 4 | 20 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 32 | |
| 9 | Random Partition model and finitary Bayesian statistical inference | 0 |
| 10 | Exchangeable Random Networks | 2 |
| 11 | 2 | |
| 12 | Asymptotic distribution and robustness of minimum total variation distance estimators | 1 |
| 13 | 2 | |
| 14 | EXPLOITING TEMPORAL LOCALITY IN STENCIL BASED APPLICATIONS | 1 |
| 15 | Proceedings of the Workshop on Parallel/High-Performance Object-Oriented Scientific Computing (POOSC'99) | 1 |
| 16 | An empirical hierarchical memory model based on hardware performance counters | 3 |
| 17 | Toward Fortran 77 performance from object-oriented C++ scientific frameworks | 1 |
| 18 | 10 | |
| 19 | Temporal locality optimizations for stencil operations for parallel object-oriented scientific frameworks on cache-based architectures | 4 |
| 20 | Development and Validation of a Hierarchical Memory Model Incorporating CPU- and Memory-Operation Overlap | 5 |
About Federico Bassetti
Federico Bassetti is a scholar working on Statistics and Probability, Hardware and Architecture and Finance, having authored 52 papers that have together received 452 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (17 papers), Parallel Computing and Optimization Techniques (11 papers) and Statistical Methods and Inference (9 papers). The work is most often cited by research in Statistics and Probability (77 citations), Hardware and Architecture (53 citations) and Statistical and Nonlinear Physics (80 citations). Federico Bassetti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giuseppe Toscani, Roberto Casarin, Fabrizio Leisen, Eugenio Regazzini, Francesco Ravazzolo, Daniel Matthes, Irene Crimaldi, Antonella Bodini, O. Lubeck and Francesca Scolari. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.