Maja de Brito

16 papers receiving 1.3k citations

Hit Papers

Effectiveness and cost-effectiveness of home palliative c...201320262017202120132019100200300400500

Peers

Maja de Brito
Comparison fields: 5 of 111
  • Public Health, Environmental and Occupational Health 1.0k
  • General Health Professions 411
  • Clinical Psychology 351
  • Pediatrics, Perinatology and Child Health 258
  • Radiological and Ultrasound Technology 163
Replace Martin Loučka with:
Martin Loučka Czechia
Kennedy Nkhoma United Kingdom
Woan Shin Tan Singapore
Gary S. Fischer United States
Carles Blay Spain
Claire K. Ankuda United States
Mark Pfeifer United States
Ai Oishi United Kingdom
Woung‐Ru Tang Taiwan
Elizabeth L. Ciemins United States
Maja de Brito relative to Martin Loučka Czechia Martin Loučka's profile →
Citations per field
00.5×1.7×
Martin Loučka · 1×
Citations per year

Countries citing papers authored by Maja de Brito

Since Specialization
Citations

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

Fields of papers citing papers by Maja de Brito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maja de Brito. 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 Maja de Brito. The network helps show where Maja de Brito may publish in the future.

Co-authorship network of co-authors of Maja de Brito

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3 40
4 51
5
The escalating global burden of serious health-related suffering: projections to 2060 by world regions, age groups, and health conditionsbreakdown →
472
6 1
7 11
8 36
9 37
10
Effectiveness and cost-effectiveness of home palliative care services for adults with advanced illness and their caregiversbreakdown →
577
11 6
12 28
13 18
14 2
15 1
16 3
17 4
18 2

About Maja de Brito

Maja de Brito is a scholar working on Public Health, Environmental and Occupational Health, Signal Processing and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (11 papers), Grief, Bereavement, and Mental Health (6 papers) and ECG Monitoring and Analysis (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.0k citations), Radiological and Ultrasound Technology (163 citations) and Geriatrics and Gerontology (66 citations). Maja de Brito has collaborated with scholars based in Portugal, United Kingdom and Italy. Frequent co-authors include Bárbara Gomes, Irene J Higginson, Natália Calanzani, V. Curiale, Paul McCrone, Richard Harding, Katherine E Sleeman, Ping Guo, Kennedy Nkhoma and Simon Etkind. Their work appears in journals such as Cochrane Database of Systematic Reviews, Journal of Pain and Symptom Management and Qualitative Health Research.

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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