Pedro Rosa Dias

487 total citations
10 papers, 253 citations indexed

About

Pedro Rosa Dias is a scholar working on Sociology and Political Science, Health and General Health Professions. According to data from OpenAlex, Pedro Rosa Dias has authored 10 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 6 papers in Health and 5 papers in General Health Professions. Recurrent topics in Pedro Rosa Dias's work include Health disparities and outcomes (6 papers), Income, Poverty, and Inequality (4 papers) and Global Health Care Issues (4 papers). Pedro Rosa Dias is often cited by papers focused on Health disparities and outcomes (6 papers), Income, Poverty, and Inequality (4 papers) and Global Health Care Issues (4 papers). Pedro Rosa Dias collaborates with scholars based in United Kingdom, United States and Australia. Pedro Rosa Dias's 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 and has published in prestigious journals such as Journal of Health Economics, Health Economics and Empirical Economics.

In The Last Decade

Pedro Rosa Dias

9 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pedro Rosa Dias United Kingdom	8	138	105	95	71	41	10	253
Álvaro Franco Colombia	6	138 1.0×	86 0.8×	58 0.6×	51 0.7×	33 0.8×	15	277
Hirotoshi Yoshioka United States	4	88 0.6×	46 0.4×	79 0.8×	43 0.6×	83 2.0×	6	291
Rob Allison United Kingdom	6	220 1.6×	55 0.5×	83 0.9×	166 2.3×	17 0.4×	13	344
Philip Brigham United Kingdom	8	121 0.9×	67 0.6×	64 0.7×	50 0.7×	33 0.8×	11	309
Diana Contreras Suárez Australia	8	76 0.6×	51 0.5×	69 0.7×	46 0.6×	66 1.6×	21	240
Ashley Wong United States	7	164 1.2×	62 0.6×	39 0.4×	143 2.0×	13 0.3×	13	244
Wendy Hearty United Kingdom	6	177 1.3×	139 1.3×	40 0.4×	35 0.5×	11 0.3×	14	298
Kelen Gomes Ribeiro Brazil	7	157 1.1×	36 0.3×	40 0.4×	26 0.4×	65 1.6×	16	289
Charles Hokayem United States	7	78 0.6×	29 0.3×	87 0.9×	95 1.3×	15 0.4×	17	251
Laura Alfers South Africa	10	112 0.8×	26 0.2×	56 0.6×	55 0.8×	16 0.4×	24	241

Countries citing papers authored by Pedro Rosa Dias

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Pedro Rosa Dias

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Rosa Dias. A scholar is included among the top collaborators of Pedro Rosa Dias 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 Pedro Rosa Dias. Pedro Rosa Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Basu, Anirban, Andrew M. Jones, & Pedro Rosa Dias. (2017). Heterogeneity in the impact of type of schooling on adult health and lifestyle. Journal of Health Economics. 57. 1–14. 13 indexed citations

Roemer, John E. & Pedro Rosa Dias. (2016). Barefoot and footloose doctors: optimal resource allocation in developing countries with medical migration. Social Choice and Welfare. 46(2). 335–358. 2 indexed citations

Okoli, Ugo, et al.. (2015). Engaging Communities in Commodity Stock Monitoring Using Telecommunication Technology in Primary Health Care Facilities in Rural Nigeria. Health Services Research and Managerial Epidemiology. 2. 1508201783–1508201783. 3 indexed citations

Jones, Andrew M., John E. Roemer, & Pedro Rosa Dias. (2014). Equalising opportunities in health through educational policy. Social Choice and Welfare. 43(3). 521–545. 16 indexed citations

Donni, Paolo Li, Juan Gabriel Rodríguez, & Pedro Rosa Dias. (2014). Empirical definition of social types in the analysis of inequality of opportunity: a latent classes approach. Social Choice and Welfare. 44(3). 673–701. 22 indexed citations

Jones, Andrew M., Nigel Rice, Silvana Robone, & Pedro Rosa Dias. (2011). Inequality and polarisation in health systems’ responsiveness: A cross-country analysis. Journal of Health Economics. 30(4). 616–625. 38 indexed citations

Jones, Andrew M., Nigel Rice, & Pedro Rosa Dias. (2011). Long-Term Effects of School Quality on Health and Lifestyle: Evidence from Comprehensive Schooling Reforms in England. Journal of Human Capital. 5(3). 342–376. 28 indexed citations

Jones, Andrew M., Nigel Rice, & Pedro Rosa Dias. (2011). Quality of schooling and inequality of opportunity in health. Empirical Economics. 42(2). 369–394. 12 indexed citations

Dias, Pedro Rosa. (2010). Modelling opportunity in health under partial observability of circumstances. Health Economics. 19(3). 252–264. 36 indexed citations

10.

Dias, Pedro Rosa. (2009). Inequality of opportunity in health: evidence from a UK cohort study. Health Economics. 18(9). 1057–1074. 83 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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