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
-
- Urban, Neighborhood, and Segregation Studies 10
-
- Housing Market and Economics 4
- Co-authors
- Antonio Punzo (13 shared papers)Antonello Maruotti (1 shared paper)Brian E. McGuire (1 shared paper)Paul D. McNicholas (1 shared paper)Salvatore Ingrassia (1 shared paper)Salvatore Strozza (4 shared papers)Federico Benassi (3 shared papers)Luca Bagnato (2 shared papers)
- Journals
- Journal of Statistical Software (5 papers)Quality & Quantity (1 paper)Lifetime Data Analysis (1 paper)Genus (1 paper)Sociological Methods & Research (1 paper)
- Partner nations
- ItalyUnited KingdomCanada
In The Last Decade
Angelo Mazza
22 papers receiving 292 citations
Peers
Comparison fields: 5 of 81
- Statistics and Probability 91
- Urban Studies 25
- Finance 30
- Management Science and Operations Research 37
- Artificial Intelligence 93
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-authors
The 25 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 39 | |
| 2 | 2014 | 36 | |
| 3 | 2017 | 30 | |
| 4 | 2018 | 30 | |
| 5 | 2016 | 20 | |
| 6 | 2018 | 20 | |
| 7 | 2014 | 17 | |
| 8 | 2021 | 12 | |
| 9 | 2014 | 12 | |
| 10 | Postpartum urinary stress incontinence: analysis of the associated risk factors and neurophysiological tests. | 2007 | 11 |
| 11 | 2017 | 10 | |
| 12 | 2002 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2015 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2014 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 3 | |
| 20 | 2020 | 2 |
About Angelo Mazza
Angelo Mazza is a scholar working on Sociology and Political Science, Economics and Econometrics, Statistics and Probability, Artificial Intelligence and Urban Studies, having authored 27 papers that have together received 296 indexed citations. Recurring topics across this work include Urban, Neighborhood, and Segregation Studies (10 papers), Bayesian Methods and Mixture Models (5 papers), Statistical Methods and Inference (4 papers), Housing Market and Economics (4 papers), Insurance, Mortality, Demography, Risk Management (3 papers), Urbanization and City Planning (3 papers), Statistical Methods and Bayesian Inference (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 (25 citations), Finance (30 citations), Management Science and Operations Research (37 citations) and Artificial Intelligence (93 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, Federico Benassi, Luca Bagnato, Giuseppe Gabrielli and Piero Manfredi. Their work appears in journals such as Journal of Statistical Software, Quality & Quantity, Lifetime Data Analysis, Genus and Sociological Methods & Research.
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.