Lorena Barberia

1.5k total citations · 1 hit paper
50 papers, 652 citations indexed

About

Lorena Barberia is a scholar working on Sociology and Political Science, Modeling and Simulation and Health. According to data from OpenAlex, Lorena Barberia has authored 50 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sociology and Political Science, 15 papers in Modeling and Simulation and 9 papers in Health. Recurrent topics in Lorena Barberia's work include COVID-19 epidemiological studies (15 papers), Vaccine Coverage and Hesitancy (8 papers) and COVID-19 Pandemic Impacts (7 papers). Lorena Barberia is often cited by papers focused on COVID-19 epidemiological studies (15 papers), Vaccine Coverage and Hesitancy (8 papers) and COVID-19 Pandemic Impacts (7 papers). Lorena Barberia collaborates with scholars based in Brazil, United States and United Kingdom. Lorena Barberia's co-authors include Eduardo J. Gómez, Susan Eckstein, George Avelino, Márcia C. Castro, Ana Freitas Ribeiro, Sun Kim, Burton H. Singer, Karina Braga Ribeiro, Beatriz Rache and Susie Gurzenda and has published in prestigious journals such as Science, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Lorena Barberia

43 papers receiving 613 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Spatiotemporal pattern of COVID-19 spread in Brazil

2021 201 citations Márcia C. Castro, Sun Kim et al. Science profile →

Peers

Lorena Barberia

SPS

EE

MS

HEALT

ID

Cindy Cheng United States

Joan Barceló United States

Ben Oppenheim United States

Siddharth Chandra United States

Elize Massard da Fonseca Brazil

Luke Taylor Australia

Jennifer Gaskell United Kingdom

Vincenzo Alfano Italy

Benjamin S. Morse United States

André Peralta‐Santos Portugal

Cindy Cheng United States

Lorena Barberia

166 ×0.8

SPS

147 ×0.9

EE

153 ×1.0

MS

42 ×0.4

HEALT

46 ×0.5

ID

Citations per year, relative to Lorena Barberia Lorena Barberia (= 1×) peers Cindy Cheng

Countries citing papers authored by Lorena Barberia

Since Specialization

Citations

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

Fields of papers citing papers by Lorena Barberia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorena Barberia

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

All Works

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20 of 20 papers shown

1.

Boing, Alexandra Crispim, et al.. (2024). Spatial clusters and social inequities in COVID-19 vaccine coverage among children in Brazil. Ciência & Saúde Coletiva. 29(8). e03952023–e03952023. 1 indexed citations

2.

Quiroga, Rodrigo, et al.. (2024). The impact of COVID-19 childhood and adolescent vaccination on mortality in Argentina. Vaccine. 42(22). 126037–126037.

3.

Martins‐Filho, Paulo Ricardo, et al.. (2023). Relationship between primary vaccination coverage and booster coverage against COVID-19, socio-economic indicators, and healthcare structure in Brazil. Public Health. 220. 108–111. 1 indexed citations

4.

Barberia, Lorena, et al.. (2023). An assessment of the public health surveillance strategy based on molecular testing during three major pandemic waves of COVID-19 in Brazil. SHILAP Revista de lepidopterología. 3(8). e0002164–e0002164. 1 indexed citations

5.

Ribeiro, Ana Freitas, et al.. (2023). Early response to COVID-19 in Brazil: The impact of a targeted approach to suspected cases and on epidemiological surveillance efforts. IJID Regions. 7. 242–251. 3 indexed citations

6.

Barberia, Lorena, et al.. (2022). Government inaction on COVID-19 vaccines contributes to the persistence of childism in Brazil. The Lancet Regional Health - Americas. 13. 100346–100346. 6 indexed citations

7.

Scheffer, Mário, Vera Paiva, Lorena Barberia, & Giuliano Russo. (2022). Monkeypox in Brazil between stigma, politics, and structural shortcomings: have we not been here before?. The Lancet Regional Health - Americas. 17. 100394–100394. 17 indexed citations

8.

Barberia, Lorena, et al.. (2022). Evaluation of the effectiveness of surveillance policies to control the COVID-19 pandemic in São Paulo, Brazil. Global Health Research and Policy. 7(1). 27–27. 5 indexed citations

9.

Barberia, Lorena, et al.. (2022). The Relationship between Ideology and COVID-19 Deaths: What We Know and What We Still Need to Know. SHILAP Revista de lepidopterología. 16(3). 3 indexed citations

10.

Marquitti, Flávia Maria Darcie, Renato Mendes Coutinho, Marcelo Eduardo Borges, et al.. (2021). Brazil in the face of new SARS-CoV-2 variants: emergencies and challenges in public health. Revista Brasileira de Epidemiologia. 24. e210022–e210022. 8 indexed citations

11.

Barberia, Lorena, et al.. (2021). The effect of state-level social distancing policy stringency on mobility in the states of Brazil. Revista de Administração Pública. 55(1). 27–49. 17 indexed citations

12.

Barberia, Lorena, Leonardo Soares Bastos, & Tatiane Moraes de Sousa. (2021). School reopening and COVID-19 in Brazil. The Lancet Regional Health - Americas. 5. 100149–100149. 7 indexed citations

13.

Barberia, Lorena, Thomas Plümper, & Guy D. Whitten. (2021). The political science of Covid‐19: An introduction. Social Science Quarterly. 102(5). 2045–2054. 13 indexed citations

14.

Castro, Márcia C., Sun Kim, Lorena Barberia, et al.. (2021). Spatiotemporal pattern of COVID-19 spread in Brazil. Science. 372(6544). 821–826. 201 indexed citations breakdown →

15.

Barberia, Lorena, et al.. (2021). Should I stay or should I go? Embracing causal heterogeneity in the study of pandemic policy and citizen behavior. Social Science Quarterly. 102(5). 2055–2069. 3 indexed citations

16.

Barberia, Lorena, et al.. (2021). The auxílio emergencial and stringent social distancing policies in Brazil: the impact on mobility and non-work travel outside the home. 10(2). 93–135. 2 indexed citations

17.

Barberia, Lorena, et al.. (2018). Economic Voting in Brazil’s Gubernatorial Elections, 1994–2014. Publius The Journal of Federalism. 49(2). 250–270. 1 indexed citations

18.

Barberia, Lorena, et al.. (2014). Inovação no ensino de métodos quantitativos em Ciência Política: Aplicação de modelo baseado em atividades. SHILAP Revista de lepidopterología. 2 indexed citations

19.

Barberia, Lorena, et al.. (2014). Novas perspectivas sobre o ‘calcanhar metodológico’: o ensino de métodos de pesquisa em ciência política no Brasil. 5 indexed citations

20.

Barberia, Lorena, Simon Johnson, & Daniel E. Kaufmann. (1997). Social Networks in Transition. Deep Blue (University of Michigan). 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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