Silvia Alayón

35 papers receiving 762 citations

Hit Papers

RIM-ONE: An open retinal image database for optic nerve e...20112026201620212011100200300

Peers

Silvia Alayón
Comparison fields: 5 of 110
  • Radiology, Nuclear Medicine and Imaging 502
  • Ophthalmology 413
  • Computer Vision and Pattern Recognition 312
  • Artificial Intelligence 140
  • Pediatrics, Perinatology and Child Health 67
Replace Agung W. Setiawan with:
Agung W. Setiawan Indonesia
Yuanyuan Chen China
Louis R. Pasquale United States
Muhammad Salman Haleem United Kingdom
Edward Korot United Kingdom
Yuchen Xie China
Gilbert Lim Singapore
Taehoon Ko South Korea
Yubo Tan China
Silvia Alayón relative to Agung W. Setiawan Indonesia Agung W. Setiawan's profile →
Citations per field
00.5×6.7×
Agung W. Setiawan · 1×
Citations per year

Countries citing papers authored by Silvia Alayón

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Alayón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Alayón

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Alayón. A scholar is included among the top collaborators of Silvia Alayón 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 Silvia Alayón. Silvia Alayón 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
#WorkIndexed citations
1 5
2 2
3 12
4 2
5 3
6 34
7 1
8 5
9 2
10 4
11 0
12 10
13
RIM-ONE: An open retinal image database for optic nerve evaluationbreakdown →
349
14
Evaluation of transversal competences in the final year project in engineering
10
15 1
16 37
17 3
18 17
19 9
20 14

About Silvia Alayón

Silvia Alayón is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 37 papers that have together received 822 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (12 papers), Retinal Imaging and Analysis (11 papers) and Retinal Diseases and Treatments (7 papers). The work is most often cited by research in Ophthalmology (413 citations), Radiology, Nuclear Medicine and Imaging (502 citations) and Computer Vision and Pattern Recognition (312 citations). Silvia Alayón has collaborated with scholars based in Spain, Slovenia and United States. Frequent co-authors include José Sigut, Francisco Fumero, Marta González-Hernández, José Luis Sánchez de la Rosa, Jacqueline Bell, Siân Curtis, Manuel González de la Rosa, Rafael Arnay, Carina Soledad González González and Juan Ruiz‐Alzola. Their work appears in journals such as Journal of Cleaner Production, IEEE Transactions on Signal Processing and Sensors.

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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