Pedro Rosa Dias
- Health top 10%
- Health disparities and outcomes 6
- General Health Professions top 10%
- Global Health Care Issues 4
- Employment and Welfare Studies 2
- Finance top 10%
- Economics and Econometrics top 10%
- Healthcare Policy and Management 1
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- Income, Poverty, and Inequality 4
- Intergenerational and Educational Inequality Studies 3
- Urban, Neighborhood, and Segregation Studies 2
- Migration and Labor Dynamics 1
- Co-authors
- Andrew M. JonesNigel RiceSilvana RobonePaolo Li DonniJuan Gabriel RodríguezJohn E. RoemerAnirban BasuEmily Crawford
- Journals
- Social Choice and Welfare (3 papers)Journal of Health Economics (2 papers)Health Economics (2 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Pedro Rosa Dias
9 papers receiving 242 citations
Peers
Comparison fields: 5 of 46
- Health 105
- General Health Professions 138
- Finance 41
- Economics and Econometrics 71
- Sociology and Political Science 95
Countries citing papers authored by Pedro Rosa Dias
This map shows the geographic impact of Pedro Rosa Dias'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 Pedro Rosa Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Rosa Dias more than expected).
Fields of papers citing papers by Pedro Rosa Dias
This network shows the impact of papers produced by Pedro Rosa Dias. 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 Pedro Rosa Dias. The network helps show where Pedro Rosa Dias may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Pedro Rosa Dias, 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 | 2017 | 13 | |
| 2 | 2016 | 2 | |
| 3 | 2015 | 3 | |
| 4 | 2014 | 16 | |
| 5 | 2014 | 22 | |
| 6 | 2011 | 38 | |
| 7 | 2011 | 28 | |
| 8 | 2011 | 12 | |
| 9 | 2010 | 36 | |
| 10 | 2009 | 83 |
About Pedro Rosa Dias
Pedro Rosa Dias is a scholar working on Health, General Health Professions, Sociology and Political Science, Emergency Medical Services and Political Science and International Relations, having authored 10 papers that have together received 253 indexed citations. Recurring topics across this work include Health disparities and outcomes (6 papers), Income, Poverty, and Inequality (4 papers), Global Health Care Issues (4 papers), Intergenerational and Educational Inequality Studies (3 papers), Urban, Neighborhood, and Segregation Studies (2 papers), Employment and Welfare Studies (2 papers), Healthcare Policy and Management (1 paper) and Migration and Labor Dynamics (1 paper). The work is most often cited by research in Health (105 citations), General Health Professions (138 citations), Finance (41 citations), Economics and Econometrics (71 citations) and Sociology and Political Science (95 citations). Pedro Rosa Dias has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Andrew M. Jones, Nigel Rice, Silvana Robone, Paolo Li Donni, Juan Gabriel Rodríguez, John E. Roemer, Anirban Basu, Emily Crawford and Ugo Okoli. Their work appears in journals such as Social Choice and Welfare, Journal of Health Economics, Health Economics, Empirical Economics and Journal of Human Capital.
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.