Samila Sena

453 total citations
11 papers, 190 citations indexed

About

Samila Sena is a scholar working on Management Science and Operations Research, Epidemiology and General Health Professions. According to data from OpenAlex, Samila Sena has authored 11 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Science and Operations Research, 4 papers in Epidemiology and 2 papers in General Health Professions. Recurrent topics in Samila Sena's work include Data Quality and Management (6 papers), Data-Driven Disease Surveillance (3 papers) and Child Nutrition and Water Access (2 papers). Samila Sena is often cited by papers focused on Data Quality and Management (6 papers), Data-Driven Disease Surveillance (3 papers) and Child Nutrition and Water Access (2 papers). Samila Sena collaborates with scholars based in Brazil, United Kingdom and Spain. Samila Sena's co-authors include Maurício L. Barreto, Rosemeire Leovigildo Fiaccone, Maria Yury Ichihara, Marcos Barreto, Leila Denise Alves Ferreira Amorim, Júlia Moreira Pescarini, Enny S. Paixão, George Barbosa, M. Sanni Ali and Dandara de Oliveira Ramos and has published in prestigious journals such as PLoS Medicine, The Lancet Infectious Diseases and The Lancet Global Health.

In The Last Decade

Samila Sena

11 papers receiving 188 citations

Peers

Samila Sena

PPCH

GHP

EPIDE

HEALT

Tomohiko Sugishita Japan

Getanew Aschalew Tesfa Ethiopia

Mohammedjud Hassen Ahmed Ethiopia

Chitalu Miriam Chama‐Chiliba Zambia

Avi Kenny United States

Prafulla Kumar Swain India

Ahmar Hashmi Thailand

Emanuel P. Lyimo Tanzania

Wondwossen Terefe Ethiopia

Sylvia Deganus Ghana

Tomohiko Sugishita Japan

Samila Sena

140 ×1.8

PPCH

79 ×1.4

GHP

58 ×1.3

31 ×1.0

EPIDE

17 ×0.5

HEALT

Citations per year, relative to Samila Sena Samila Sena (= 1×) peers Tomohiko Sugishita

Countries citing papers authored by Samila Sena

Since Specialization

Citations

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

Fields of papers citing papers by Samila Sena

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samila Sena

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

All Works

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11 of 11 papers shown

Teixeira, Camila Silveira Silva, Maria Yury Ichihara, Davide Rasella, et al.. (2023). Incidence and risk factors of tuberculosis among 420 854 household contacts of patients with tuberculosis in the 100 Million Brazilian Cohort (2004–18): a cohort study. The Lancet Infectious Diseases. 24(1). 46–56. 17 indexed citations

Góes, Emanuelle Freitas, Júlia Moreira Pescarini, Dandara de Oliveira Ramos, et al.. (2022). Ethnoracial inequalities and child mortality in Brazil: a nationwide longitudinal study of 19 million newborn babies. The Lancet Global Health. 10(10). e1453–e1462. 27 indexed citations

Ramos, Dandara de Oliveira, Maria Yury Ichihara, Rosemeire Leovigildo Fiaccone, et al.. (2021). Conditional cash transfer program and child mortality: A cross-sectional analysis nested within the 100 Million Brazilian Cohort. PLoS Medicine. 18(9). e1003509–e1003509. 29 indexed citations

Ichihara, Maria Yury, Samila Sena, George Barbosa, et al.. (2020). Examining the quality of record linkage process using nationwide Brazilian administrative databases to build a large birth cohort. BMC Medical Informatics and Decision Making. 20(1). 173–173. 23 indexed citations

Barbosa, George, M. Sanni Ali, Samila Sena, et al.. (2020). CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability. BMC Medical Informatics and Decision Making. 20(1). 289–289. 50 indexed citations

Ferreira, Paulo H., et al.. (2019). Bivariate Copula-based Linear Mixed-effects Models: An Application to Longitudinal Child Growth Data. TEMA (São Carlos). 20(1). 37–37. 2 indexed citations

Sena, Samila, Rosemeire Leovigildo Fiaccone, Leila Denise Alves Ferreira Amorim, et al.. (2018). On the Accuracy and Scalability of Probabilistic Data Linkage Over the Brazilian 114 Million Cohort. IEEE Journal of Biomedical and Health Informatics. 22(2). 346–353. 32 indexed citations

Barreto, Marcos, et al.. (2017). Design and evaluation of probabilistic record linkage methods supporting the Brazilian 100-million cohort initiative.. International Journal for Population Data Science. 1(1). 3 indexed citations

Barbosa, George, Juracy Bertoldo, Samila Sena, et al.. (2017). Probabilistic Integration of Large Brazilian Socioeconomic and Clinical Databases. 515–520. 4 indexed citations

10.

Barreto, Marcos, Samila Sena, Rosemeire Leovigildo Fiaccone, et al.. (2017). Assessing the accuracy of probabilistic record linkage of social and health databases in the 100 million Brazilian cohort. International Journal for Population Data Science. 1(1). 2 indexed citations

11.

Melo, Pedro O. S. Vaz de, et al.. (2015). Correlação Probabilística de Bancos de Dados Governamentais.. 77–88. 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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