Angelo Mazza
Impact in
- Statistics and Probability top 5%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Urban Studies top 10%
Papers in
-
- Statistical Methods and Inference 4
- Statistical Methods and Bayesian Inference 3
- Advanced Statistical Methods and Models 3
- Co-authors
- Antonio PunzoAntonello MaruottiBrian E. McGuirePaul D. McNicholasSalvatore IngrassiaSalvatore StrozzaLuca BagnatoGiuseppe Gabrielli
- Journals
- Journal of Statistical Software (5 papers)Quality & Quantity (1 paper)Genus (1 paper)Sociological Methods & Research (1 paper)Statistical Papers (1 paper)
- Partner nations
- ItalyUnited KingdomCanada
In The Last Decade
Angelo Mazza
22 papers receiving 271 citations
Peers
Comparison fields: 5 of 83
- Statistics and Probability 91
- Urban Studies 20
- Management Science and Operations Research 37
- Artificial Intelligence 92
- Finance 25
Countries citing papers authored by Angelo Mazza
This map shows the geographic impact of Angelo Mazza'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 Angelo Mazza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Mazza more than expected).
Fields of papers citing papers by Angelo Mazza
This network shows the impact of papers produced by Angelo Mazza. 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 Angelo Mazza. The network helps show where Angelo Mazza may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Angelo Mazza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 10 | |
| 6 | Trasformazioni urbane e distribuzione spaziale degli immigrati stranieri a Messina | 2020 | 0 |
| 7 | 2018 | 20 | |
| 8 | 2018 | 27 | |
| 9 | 2017 | 7 | |
| 10 | 2017 | 29 | |
| 11 | 2016 | 6 | |
| 12 | 2015 | 8 | |
| 13 | 2014 | 6 | |
| 14 | 2014 | 16 | |
| 15 | 2014 | 35 | |
| 16 | SDD: An R package for Serial Dependence Diagrams | 2013 | 2 |
| 17 | BETA KERNEL GRADUATION OF MORTALITY DATA IN R. AN APPLICATION TO THE ENNA PROVINCE | 2012 | 0 |
| 18 | [A ten-year risk evaluation study in Catania hospital operating rooms]. | 2005 | 1 |
| 19 | Pinacoteca nazionale di Bologna : catalogo generale | 2004 | 1 |
| 20 | 2002 | 9 |
About Angelo Mazza
Angelo Mazza is a scholar working on Statistics and Probability, Urban Studies, Demography, Finance and Conservation, having authored 26 papers that have together received 281 indexed citations. Recurring topics across this work include Urban, Neighborhood, and Segregation Studies (9 papers), Bayesian Methods and Mixture Models (5 papers), Statistical Methods and Inference (4 papers), Statistical Methods and Bayesian Inference (3 papers), Insurance, Mortality, Demography, Risk Management (3 papers), Housing Market and Economics (3 papers), Advanced Statistical Methods and Models (3 papers) and Financial Risk and Volatility Modeling (3 papers). The work is most often cited by research in Statistics and Probability (91 citations), Urban Studies (20 citations), Management Science and Operations Research (37 citations), Artificial Intelligence (92 citations) and Finance (25 citations). Angelo Mazza has collaborated with scholars based in Italy, United Kingdom and Canada. Frequent co-authors include Antonio Punzo, Antonello Maruotti, Brian E. McGuire, Paul D. McNicholas, Salvatore Ingrassia, Salvatore Strozza, Luca Bagnato, Giuseppe Gabrielli, Federico Benassi and Alberto d’Onofrio. Their work appears in journals such as Journal of Statistical Software, Quality & Quantity, Genus, Sociological Methods & Research and Statistical Papers.
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.