María Viñas

772 total citations
37 papers, 580 citations indexed

About

María Viñas is a scholar working on Epidemiology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, María Viñas has authored 37 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 19 papers in Ophthalmology and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in María Viñas's work include Ophthalmology and Visual Impairment Studies (26 papers), Corneal surgery and disorders (17 papers) and Intraocular Surgery and Lenses (12 papers). María Viñas is often cited by papers focused on Ophthalmology and Visual Impairment Studies (26 papers), Corneal surgery and disorders (17 papers) and Intraocular Surgery and Lenses (12 papers). María Viñas collaborates with scholars based in Spain, United States and Sri Lanka. María Viñas's co-authors include Susana Marcos, Carlos Dorronsoro, Lucie Sawides, Daniel Pascual, Pablo De Gracia, Vyas Akondi, Francisco Poyales, Nuria Garzón, Enrique Gambra and Gildas Marin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

María Viñas

35 papers receiving 553 citations

Peers

María Viñas
Comparison fields: 5 of 40
  • Epidemiology 473
  • Radiology, Nuclear Medicine and Imaging 372
  • Ophthalmology 304
  • Cognitive Neuroscience 166
  • Biomedical Engineering 76
Replace Enrique Gambra with:
Enrique Gambra Spain
Richard Legras France
S. Marcos Spain
Eloy A. Villegas Spain
Len Zheleznyak United States
Lucie Sawides Spain
Scott W. Fisher Australia
Glyn Walsh United Kingdom
Montserrat Arjona Spain
Sowmya Ravikumar United States
Enrique Gambra Spain View profile →
Citations per field, relative to María Viñas
María Viñas · 1×
Citations per year, relative to María Viñas
María Viñas · 1×

Countries citing papers authored by María Viñas

Since Specialization
Citations

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

Fields of papers citing papers by María Viñas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Viñas

This figure shows the co-authorship network connecting the top 25 collaborators of María Viñas. A scholar is included among the top collaborators of María Viñas 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 Viñas. María Viñas 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
# Work Indexed citations
1 1
2 4
3 4
4 9
5 10
6 9
7 16
8 10
9 1
10 8
11 17
12 44
13 31
14
Visual benefit of correcting High Order Aberrations in blue or green light: an optical effect?
1
15 34
16 1
17 12
18 50
19
Entorno social y desnutrición niños de 1 a 4 años de comunidades indígenas de México
1
20
Consumo de alimentos y ayudas ergogénicas en culturistas
2

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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