Andrea Cerioli
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 0.5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Finance top 10%
- Co-authors
- Marco RianiAnthony C. AtkinsonDomenico PerrottaAlessio FarcomeniLucio BarabesiAldo CorbelliniMario MenegattiLuis Ángel García-Escudero
- Topics
- Advanced Statistical Methods and Models (24 papers)Statistical Methods and Inference (16 papers)Advanced Statistical Process Monitoring (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Statistical AssociationBiometrics
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Andrea Cerioli
44 papers receiving 931 citations
Peers
Comparison fields: 5 of 116
- Statistics and Probability 678
- Statistics, Probability and Uncertainty 304
- Artificial Intelligence 292
- Computer Vision and Pattern Recognition 98
- Finance 80
Countries citing papers authored by Andrea Cerioli
This map shows the geographic impact of Andrea Cerioli'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 Andrea Cerioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Cerioli more than expected).
Fields of papers citing papers by Andrea Cerioli
This network shows the impact of papers produced by Andrea Cerioli. 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 Andrea Cerioli. The network helps show where Andrea Cerioli may publish in the future.
Co-authorship network of co-authors of Andrea Cerioli
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Cerioli. A scholar is included among the top collaborators of Andrea Cerioli 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 Andrea Cerioli. Andrea Cerioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 11 | |
| 5 | 29 | |
| 6 | ESERCIZI DI STATISTICA | 1 |
| 7 | 25 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 20 | |
| 11 | 37 | |
| 12 | 19 | |
| 13 | 88 | |
| 14 | 24 | |
| 15 | Analisi multivariate per la valutazione delle politiche di e-government nei Comuni dell'Emilia Romagna | 1 |
| 16 | Data Analysis, Classification and the Forward Search: Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian ... Data Analysis, and Knowledge Organization) | 3 |
| 17 | 16 | |
| 18 | 4 | |
| 19 | 33 | |
| 20 | 26 |
About Andrea Cerioli
Andrea Cerioli is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 45 papers that have together received 971 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (24 papers), Statistical Methods and Inference (16 papers) and Advanced Statistical Process Monitoring (16 papers). The work is most often cited by research in Statistics and Probability (678 citations), Statistics, Probability and Uncertainty (304 citations) and Artificial Intelligence (292 citations). Andrea Cerioli has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Marco Riani, Anthony C. Atkinson, Domenico Perrotta, Alessio Farcomeni, Lucio Barabesi, Aldo Corbellini, Mario Menegatti, Luis Ángel García-Escudero, Agustín Mayo-Íscar and Silvia Salini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Biometrics.
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.