Raffaele Vacca
- Sociology and Political Science top 5%
- General Health Professions
- Health top 10%
- Statistical and Nonlinear Physics top 10%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Miranda J. LubbersChristopher McCartyJosé Luís MolinaGiacomo SolanoTommaso VitaleIlaria CapuaBaşak BilecenJeanne‐Marie R. Stacciarini
- Topics
- Health disparities and outcomes (7 papers)scientometrics and bibliometrics research (6 papers)Community Health and Development (5 papers)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Raffaele Vacca
30 papers receiving 515 citations
Peers
Comparison fields: 5 of 115
- Sociology and Political Science 248
- General Health Professions 89
- Health 76
- Statistical and Nonlinear Physics 57
- Statistics, Probability and Uncertainty 46
Countries citing papers authored by Raffaele Vacca
This map shows the geographic impact of Raffaele Vacca'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 Raffaele Vacca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raffaele Vacca more than expected).
Fields of papers citing papers by Raffaele Vacca
This network shows the impact of papers produced by Raffaele Vacca. 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 Raffaele Vacca. The network helps show where Raffaele Vacca may publish in the future.
Co-authorship network of co-authors of Raffaele Vacca
This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Vacca. A scholar is included among the top collaborators of Raffaele Vacca 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 Raffaele Vacca. Raffaele Vacca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 34 | |
| 9 | 20 | |
| 10 | 26 | |
| 11 | 31 | |
| 12 | 18 | |
| 13 | 17 | |
| 14 | 32 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 25 | |
| 19 | Bridging across nations. The social capital of diversity, brokerage and closure in transnational migrant networks: a study on assimilation patterns in Milan and Barcelona | 4 |
| 20 | 1 |
About Raffaele Vacca
Raffaele Vacca is a scholar working on Health, Statistics, Probability and Uncertainty and Demography, having authored 32 papers that have together received 526 indexed citations. Recurring topics across this work include Health disparities and outcomes (7 papers), scientometrics and bibliometrics research (6 papers) and Community Health and Development (5 papers). The work is most often cited by research in Health (76 citations), Statistics, Probability and Uncertainty (46 citations) and Sociology and Political Science (248 citations). Raffaele Vacca has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Miranda J. Lubbers, Christopher McCarty, José Luís Molina, Giacomo Solano, Tommaso Vitale, Ilaria Capua, Başak Bilecen, Jeanne‐Marie R. Stacciarini, Michael Conlon and David R. Nelson. Their work appears in journals such as PLoS ONE, Scientific Reports and Social Science & Medicine.
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.