Fabio Rapallo
- Statistics and Probability top 5%
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Algebra and Number Theory
- Health, Toxicology and Mutagenesis
- Co-authors
- Ruriko YoshidaA. ViarengoFrancesco DonderoMauro de Freitas RebeloEnrico CarliniHamadi BoussettaAlessandro NegriMohamed Bannı
- Topics
- Commutative Algebra and Its Applications (7 papers)Polynomial and algebraic computation (5 papers)Bayesian Modeling and Causal Inference (4 papers)
- Partner nations
- ItalyUnited KingdomAustralia
In The Last Decade
Fabio Rapallo
34 papers receiving 204 citations
Peers
Comparison fields: 5 of 95
- Statistics and Probability 58
- Computational Theory and Mathematics 54
- Artificial Intelligence 37
- Algebra and Number Theory 36
- Health, Toxicology and Mutagenesis 26
Countries citing papers authored by Fabio Rapallo
This map shows the geographic impact of Fabio Rapallo'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 Fabio Rapallo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Rapallo more than expected).
Fields of papers citing papers by Fabio Rapallo
This network shows the impact of papers produced by Fabio Rapallo. 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 Fabio Rapallo. The network helps show where Fabio Rapallo may publish in the future.
Co-authorship network of co-authors of Fabio Rapallo
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Rapallo. A scholar is included among the top collaborators of Fabio Rapallo 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 Fabio Rapallo. Fabio Rapallo 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 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | Aberration of three-level factorial designs and the Gini index | 1 |
| 13 | 2 | |
| 14 | 20 | |
| 15 | 9 | |
| 16 | 10 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | Markov chains on the reference set of contingency tables with upper bounds | 5 |
| 20 | 21 |
About Fabio Rapallo
Fabio Rapallo is a scholar working on Computational Mathematics, Algebra and Number Theory and Statistics and Probability, having authored 39 papers that have together received 217 indexed citations. Recurring topics across this work include Commutative Algebra and Its Applications (7 papers), Polynomial and algebraic computation (5 papers) and Bayesian Modeling and Causal Inference (4 papers). The work is most often cited by research in Computational Mathematics (17 citations), Algebra and Number Theory (36 citations) and Statistics and Probability (58 citations). Fabio Rapallo has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Ruriko Yoshida, A. Viarengo, Francesco Dondero, Mauro de Freitas Rebelo, Enrico Carlini, Hamadi Boussetta, Alessandro Negri, Mohamed Bannı, Enrico Scalas and Valentina Savo. Their work appears in journals such as PLoS ONE, Nutrients and Physica A Statistical Mechanics and its 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.