María Brunette

871 total citations
26 papers, 620 citations indexed

About

María Brunette is a scholar working on Radiology, Nuclear Medicine and Imaging, General Health Professions and Infectious Diseases. According to data from OpenAlex, María Brunette has authored 26 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in General Health Professions and 5 papers in Infectious Diseases. Recurrent topics in María Brunette's work include COVID-19 diagnosis using AI (9 papers), Tuberculosis Research and Epidemiology (5 papers) and Occupational Health and Safety Research (5 papers). María Brunette is often cited by papers focused on COVID-19 diagnosis using AI (9 papers), Tuberculosis Research and Epidemiology (5 papers) and Occupational Health and Safety Research (5 papers). María Brunette collaborates with scholars based in United States, Peru and Mexico. María Brunette's co-authors include Walter H. Curioso, Benyuan Liu, Yu Cao, Chang Liu, Jesús Peinado, Cora Roelofs, Lenore S. Azaroff, Marlon F. Alcantara, Ning Zhang and Leonid Lecca and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Health and Behaviour and Information Technology.

In The Last Decade

María Brunette

25 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María Brunette United States 10 222 200 104 87 71 26 620
Jonathan Back United Kingdom 13 147 0.7× 9 0.0× 51 0.5× 45 0.5× 97 1.4× 30 551
Mohammad Al‐Bsheish Saudi Arabia 13 59 0.3× 21 0.1× 116 1.1× 69 0.8× 18 0.3× 31 562
Susan Harkness Regli United States 11 21 0.1× 88 0.4× 104 1.0× 158 1.8× 75 1.1× 27 738
Allan Fong United States 16 27 0.1× 91 0.5× 164 1.6× 51 0.6× 35 0.5× 72 742
Patricia Abbott United States 14 21 0.1× 21 0.1× 269 2.6× 49 0.6× 16 0.2× 46 794
Arun Vijay Subbarayalu Saudi Arabia 10 11 0.0× 96 0.5× 71 0.7× 83 1.0× 44 0.6× 63 611
Abid Iqbal Pakistan 12 26 0.1× 21 0.1× 95 0.9× 74 0.9× 11 0.2× 50 538
Øystein Nytrø Norway 13 182 0.8× 24 0.1× 356 3.4× 138 1.6× 133 1.9× 73 911
Tom Lawton United Kingdom 10 13 0.1× 56 0.3× 23 0.2× 142 1.6× 22 0.3× 39 486
Fred Hersch Australia 10 6 0.0× 158 0.8× 108 1.0× 143 1.6× 26 0.4× 16 562

Countries citing papers authored by María Brunette

Since Specialization
Citations

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

Fields of papers citing papers by María Brunette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Brunette

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

All Works

20 of 20 papers shown
1.
Moyano, Luz M., et al.. (2024). Afrontando los retos del fragmentado sistema de salud peruano: El papel transformador de los académicos. Revista Médica Herediana. 35(1). 3–6.
2.
Stuebe, Alison M., et al.. (2023). Using Machine Learning to Develop a Predictive Model of Infant Hypoglycemia Based on Maternal and Infant Variables in an Electronic Health Record. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care. 12(1). 94–100. 2 indexed citations
3.
Ugarte‐Gil, César, et al.. (2023). The community as an active part in the implementation of interventions for the prevention and care of tuberculosis: A scoping review. SHILAP Revista de lepidopterología. 3(12). e0001482–e0001482. 6 indexed citations
4.
Chen, Qilei, et al.. (2022). eRxNet: A Pipeline of Convolutional Neural Networks for Tuberculosis Screening. International Journal of Semantic Computing. 16(1). 69–92. 1 indexed citations
5.
Chen, Qilei, Xinzi Sun, Dechun Wang, et al.. (2021). eRxNet: A Pipeline of Convolutional Neural Networks for Tuberculosis Screening. 47–56. 2 indexed citations
6.
Curioso, Walter H. & María Brunette. (2020). Inteligencia artificial e innovación para optimizar el proceso de diagnóstico de la tuberculosis. Revista Peruana de Medicina Experimental y Salud Pública. 37(3). 554–8. 6 indexed citations
7.
Cao, Yu, et al.. (2020). Object Detection and Segmentation in Chest X-rays for Tuberculosis Screening. 34–42. 8 indexed citations
8.
Alcantara, Marlon F., Yu Cao, Benyuan Liu, et al.. (2020). eRx – A technological advance to speed-up TB diagnostics. Smart Health. 16. 100117–100117. 8 indexed citations
9.
Brunette, María & Walter H. Curioso. (2017). Sistemas de salud móvil integrados: rol de los factores socioculturales y el enfoque de sistemas sociotécnico. Revista Peruana de Medicina Experimental y Salud Pública. 34(3). 544–544. 8 indexed citations
10.
Alcantara, Marlon F., Yu Cao, Chang Liu, et al.. (2017). Improving tuberculosis diagnostics using deep learning and mobile health technologies among resource-poor communities in Perú. Smart Health. 1-2. 66–76. 43 indexed citations
11.
Buchholz, Bryan, et al.. (2017). Is worker involvement an ergonomic solution for construction intervention challenges: a systematic review. Theoretical Issues in Ergonomics Science. 18(5). 433–441. 12 indexed citations
12.
Brunette, María, et al.. (2014). Customizable, scalable and reliable community-based mobile health interventions. 43–48. 4 indexed citations
13.
Brunette, María, et al.. (2012). Factores de fatiga en operadores de maquinaria semiautomatizada en México. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 11–28. 2 indexed citations
14.
García-Alcaráz, Jorge Luis, et al.. (2012). Construction of a survey to assess workload and fatigue among AMT operators in Mexico. Work. 41(S1). 1790–1796. 13 indexed citations
15.
Brunette, María, Michael J. Smith, & Laura Punnett. (2011). Perceptions of working and living conditions among industrial male and female workers in Perú. Work. 38(3). 211–223. 7 indexed citations
16.
Roelofs, Cora, et al.. (2011). A qualitative investigation of Hispanic construction worker perspectives on factors impacting worksite safety and risk. Environmental Health. 10(1). 84–84. 80 indexed citations
17.
Carayon, Pascale, et al.. (2006). Evaluating causes and consequences of turnover intention among IT workers: the development of a questionnaire survey. Behaviour and Information Technology. 25(5). 381–397. 38 indexed citations
18.
Brunette, María. (2005). Development of Educational and Training Materials on Safety and Health. Family & Community Health. 28(3). 253–266. 84 indexed citations
19.
Brunette, María. (2004). Construction safety research in the United States: targeting the Hispanic workforce. Injury Prevention. 10(4). 244–248. 86 indexed citations
20.
Carayon, Pascale, et al.. (2002). Quality of Working Life among Women and Minorities in the Information Technology Workforce: A Pilot Study. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 46(15). 1379–1383. 3 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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