Raffaele Vacca

966 total citations
32 papers, 526 citations indexed

About

Raffaele Vacca is a scholar working on Sociology and Political Science, General Health Professions and Health. According to data from OpenAlex, Raffaele Vacca has authored 32 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 9 papers in General Health Professions and 8 papers in Health. Recurrent topics in Raffaele Vacca's work include Health disparities and outcomes (7 papers), scientometrics and bibliometrics research (6 papers) and Community Health and Development (5 papers). Raffaele Vacca is often cited by papers focused on Health disparities and outcomes (7 papers), scientometrics and bibliometrics research (6 papers) and Community Health and Development (5 papers). Raffaele Vacca collaborates with scholars based in United States, Italy and Netherlands. Raffaele Vacca's co-authors include Christopher McCarty, Miranda J. Lubbers, José Luís Molina, Giacomo Solano, Tommaso Vitale, Ilaria Capua, Başak Bilecen, Jeanne‐Marie R. Stacciarini, David R. Nelson and Michael Conlon and has published in prestigious journals such as PLoS ONE, Scientific Reports and Social Science & Medicine.

In The Last Decade

Raffaele Vacca

30 papers receiving 515 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Raffaele Vacca United States 12 248 89 76 57 46 32 526
Ryan Light United States 13 299 1.2× 60 0.7× 35 0.5× 30 0.5× 43 0.9× 26 544
Samuel Wilson Australia 11 239 1.0× 66 0.7× 24 0.3× 23 0.4× 111 2.4× 53 694
Viviana Amati Switzerland 9 117 0.5× 42 0.5× 53 0.7× 70 1.2× 7 0.2× 20 368
Bruce Hoffman United States 21 1.3k 5.2× 72 0.8× 59 0.8× 18 0.3× 23 0.5× 109 1.7k
Richard A. Wanner Canada 17 364 1.5× 87 1.0× 17 0.2× 11 0.2× 121 2.6× 43 801
Henk Roose Belgium 17 613 2.5× 25 0.3× 41 0.5× 26 0.5× 5 0.1× 55 929
Weihua An United States 11 147 0.6× 25 0.3× 23 0.3× 41 0.7× 5 0.1× 28 335
Bella Struminskaya Netherlands 10 411 1.7× 54 0.6× 53 0.7× 11 0.2× 4 0.1× 29 621
Marc Keuschnigg Germany 13 209 0.8× 39 0.4× 52 0.7× 35 0.6× 4 0.1× 29 514
Mike Battaglia United States 4 259 1.0× 55 0.6× 49 0.6× 13 0.2× 4 0.1× 4 592

Countries citing papers authored by Raffaele Vacca

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Vacca, Raffaele, Başak Bilecen, & Miranda J. Lubbers. (2025). Social networks in migration and migrant incorporation: New developments and challenges. International Migration. 63(1). 2 indexed citations
2.
Vacca, Raffaele & Federico Bianchi. (2024). Diversity, integration, and variability of intergenerational relationships in old age: New insights from personal network research. Social Science Research. 119. 102991–102991. 1 indexed citations
3.
King, Lindsey, et al.. (2023). Interorganizational collaboration in a trauma‐informed community: A network analysis of cohesion and change. Journal of Community Psychology. 52(1). 89–104.
4.
Vacca, Raffaele, et al.. (2023). Discovering new pathways toward integration between health and sustainable development goals with natural language processing and network science. Globalization and Health. 19(1). 44–44. 9 indexed citations
5.
Vacca, Raffaele, et al.. (2022). The structure of social support: a multilevel analysis of the personal networks of people with severe mental disorders. BMC Psychiatry. 22(1). 698–698. 3 indexed citations
6.
King, Lindsey, et al.. (2021). Organizational partnerships for a trauma‐informed community: A community‐wide social network study. Journal of Community Psychology. 49(7). 2658–2678. 6 indexed citations
7.
Bilecen, Başak & Raffaele Vacca. (2021). The isolation paradox: A comparative study of social support and health across migrant generations in the U.S.. Social Science & Medicine. 283. 114204–114204. 20 indexed citations
8.
Vacca, Raffaele, et al.. (2021). Natural language processing and network analysis provide novel insights on policy and scientific discourse around Sustainable Development Goals. Scientific Reports. 11(1). 22427–22427. 34 indexed citations
9.
Vacca, Raffaele, et al.. (2020). Great minds think alike, or do they often differ? Research topic overlap and the formation of scientific teams. Journal of Informetrics. 15(1). 101104–101104. 26 indexed citations
10.
Vacca, Raffaele. (2019). Structure in personal networks: Constructing and comparing typologies. Network Science. 8(2). 142–167. 31 indexed citations
11.
Vacca, Raffaele, et al.. (2019). Connecting the dots: implementing and evaluating a network intervention to foster scientific collaboration and productivity. Social Networks. 61. 181–195. 18 indexed citations
12.
Vacca, Raffaele. (2018). Multilevel models for personal networks: methods and applications. 59–97. 17 indexed citations
13.
Vacca, Raffaele, et al.. (2017). Detecting and analyzing research communities in longitudinal scientific networks. PLoS ONE. 12(8). e0182516–e0182516. 32 indexed citations
14.
Vacca, Raffaele, et al.. (2017). 2151. Journal of Clinical and Translational Science. 1(S1). 44–45. 1 indexed citations
15.
Tradigo, Giuseppe, Raffaele Vacca, Todd M. Manini, et al.. (2017). A new approach to disentangle genetic and epigenetic components on disease comorbidities: studying correlation between genotypic and phenotypic disease networks. Procedia Computer Science. 110. 453–458. 2 indexed citations
16.
Vacca, Raffaele, et al.. (2017). Identity and publication in non-university settings: academic co-authorship and collaboration. Scientometrics. 111(1). 401–416. 8 indexed citations
17.
Stacciarini, Jeanne‐Marie R., et al.. (2016). FBO Leaders’ Perceptions of the Psycho-social Contexts for Rural Latinos. Issues in Mental Health Nursing. 37(1). 19–25. 2 indexed citations
18.
Vacca, Raffaele, Christopher McCarty, Michael Conlon, & David R. Nelson. (2015). Designing a CTSA‐Based Social Network Intervention to Foster Cross‐Disciplinary Team Science. Clinical and Translational Science. 8(4). 281–289. 25 indexed citations
19.
Vacca, Raffaele. (2013). Bridging across nations. The social capital of diversity, brokerage and closure in transnational migrant networks: a study on assimilation patterns in Milan and Barcelona. BOA (University of Milano-Bicocca). 4 indexed citations
20.
Bacchetta, Gianluigi, et al.. (2007). La flora del Monte Arcuentu (Sardegna sud occidentale). Webbia. 62(2). 175–204. 1 indexed citations

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.

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