Silvia Barcellos

52 total papers · 1.3k total citations
28 papers, 784 citations indexed

About

Silvia Barcellos is a scholar working on Economics and Econometrics, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Silvia Barcellos has authored 28 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Economics and Econometrics, 11 papers in Sociology and Political Science and 7 papers in General Health Professions. Recurrent topics in Silvia Barcellos's work include Financial Literacy, Pension, Retirement Analysis (7 papers), Healthcare Policy and Management (4 papers) and Demographic Trends and Gender Preferences (4 papers). Silvia Barcellos is often cited by papers focused on Financial Literacy, Pension, Retirement Analysis (7 papers), Healthcare Policy and Management (4 papers) and Demographic Trends and Gender Preferences (4 papers). Silvia Barcellos collaborates with scholars based in United States, Poland and Singapore. Silvia Barcellos's co-authors include Leandro Carvalho, Adriana Lleras‐Muney, Mireille Jacobson, Ruth V. Small, Ping Zhang, Patrick Turley, Gisela M. von Dran, Dana P. Goldman, James P. Smith and Katherine Grace Carman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Medical Care.

In The Last Decade

Silvia Barcellos

28 papers receiving 726 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Silvia Barcellos	216	214	189	160	122	28	784
Brian Duncan	182 0.8×	522 2.4×	103 0.5×	92 0.6×	28 0.2×	36	840
Julián Cristia	94 0.4×	101 0.5×	100 0.5×	108 0.7×	30 0.2×	37	651
Kitae Sohn	144 0.7×	194 0.9×	106 0.6×	126 0.8×	153 1.3×	61	886
Cynthia K. Sanders	126 0.6×	226 1.1×	229 1.2×	102 0.6×	28 0.2×	19	787
Louise Marie Roth	96 0.4×	340 1.6×	112 0.6×	315 2.0×	72 0.6×	38	795
Gaute Torsvik	278 1.3×	313 1.5×	101 0.5×	51 0.3×	90 0.7×	53	855
David Simon	114 0.5×	190 0.9×	259 1.4×	170 1.1×	68 0.6×	31	741
Joanna Lahey	349 1.6×	315 1.5×	234 1.2×	149 0.9×	37 0.3×	48	865
Ana Lúcia Kassouf	164 0.8×	256 1.2×	163 0.9×	92 0.6×	39 0.3×	60	844
Claire Crawford	103 0.5×	276 1.3×	67 0.4×	66 0.4×	29 0.2×	34	714

Countries citing papers authored by Silvia Barcellos

Since Specialization

Citations

This map shows the geographic impact of Silvia Barcellos'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 Silvia Barcellos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Barcellos more than expected).

Fields of papers citing papers by Silvia Barcellos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Barcellos. 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 Silvia Barcellos. The network helps show where Silvia Barcellos may publish in the future.

Co-authorship network of co-authors of Silvia Barcellos

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

All Works

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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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