Angelo Capodici
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Healthcare professionals’ stress and burnout 2
- Health 4
- Vaccine Coverage and Hesitancy 4
- Co-authors
- Francesco Sanmarchi (10 shared papers)Davide Golinelli (7 shared papers)Davide Gori (14 shared papers)Jacopo Lenzi (9 shared papers)Francesco Esposito (3 shared papers)Chiara Reno (2 shared papers)Dino Gibertoni (1 shared paper)Tina Hernandez‐Boussard (4 shared papers)
- Journals
- Vaccines (4 papers)European Journal of Public Health (2 papers)Frontiers in Public Health (2 papers)PLoS ONE (2 papers)Journal of Nephrology (1 paper)
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Angelo Capodici
25 papers receiving 305 citations
Peers
Comparison fields: 5 of 96
- Modeling and Simulation 37
- Health Informatics 9
- Health Information Management 28
- Health 50
- Applied Microbiology and Biotechnology 6
Countries citing papers authored by Angelo Capodici
This map shows the geographic impact of Angelo Capodici'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 Capodici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Capodici more than expected).
Fields of papers citing papers by Angelo Capodici
This network shows the impact of papers produced by Angelo Capodici. 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 Capodici. The network helps show where Angelo Capodici may publish in the future.
Co-authors
The 25 scholars most cited alongside Angelo Capodici, 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 | 2021 | 75 | |
| 2 | 2023 | 51 | |
| 3 | 2023 | 35 | |
| 4 | 2024 | 19 | |
| 5 | 2022 | 18 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 2 |
About Angelo Capodici
Angelo Capodici is a scholar working on General Health Professions, Health, Epidemiology, Public Health, Environmental and Occupational Health and Economics and Econometrics, having authored 27 papers that have together received 312 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 and healthcare impacts (3 papers), COVID-19 epidemiological studies (3 papers), Healthcare professionals’ stress and burnout (2 papers), Nutritional Studies and Diet (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Modeling and Simulation (37 citations), Health Informatics (9 citations), Health Information Management (28 citations), Health (50 citations) and Applied Microbiology and Biotechnology (6 citations). Angelo Capodici has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Francesco Sanmarchi, Davide Golinelli, Davide Gori, Jacopo Lenzi, Francesco Esposito, Chiara Reno, Dino Gibertoni, Tina Hernandez‐Boussard, Marco Montalti and Maria Pia Fantini. Their work appears in journals such as Vaccines, European Journal of Public Health, Frontiers in Public Health, PLoS ONE and Journal of Nephrology.
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.