Sílvia Barbeiro

420 citations
31 papers · 288 indexed · h-index 9

Sílvia Barbeiro

28 papers receiving 280 citations

Peers

Sílvia Barbeiro
Comparison fields: 5 of 62
  • Numerical Analysis 45
  • Modeling and Simulation 22
  • Computer Vision and Pattern Recognition 82
  • Media Technology 35
  • Ophthalmology 28
Replace Subrahamanyam Upadhyay with:
Subrahamanyam Upadhyay India
Jooyoung Hahn Austria
Emmanuel Maitre France
U. Diewald Germany
Martin Fuchs Germany
Linh V. Nguyen United States
Emily J. Evans United States
Franco Tomarelli Italy
Masanori Kakimoto Japan
Gao Tang United States
Sílvia Barbeiro relative to Subrahamanyam Upadhyay India Subrahamanyam Upadhyay's profile →
Citations per field
00.5×10×15×18×
Subrahamanyam Upadhyay · 1×
Citations per year

Countries citing papers authored by Sílvia Barbeiro

Since Specialization
Citations

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

Fields of papers citing papers by Sílvia Barbeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Sílvia Barbeiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sílvia Barbeiro Line = papers co-authored together Sílvia Barbeiro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20232
4 20223
5 201712
6 20172
7 20171
8 20154
9 20151
10
Monte Carlo simulation of diabetic macular edema changes on optical coherence tomography
20141
11 20143
12 20133
13 201215
14 2010120
15 200912
16 200711
17 200532
18 20051
19 20041
20 20012

About Sílvia Barbeiro

Sílvia Barbeiro is a scholar working on Numerical Analysis, Acoustics and Ultrasonics and Computational Theory and Mathematics, having authored 31 papers that have together received 288 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (13 papers), Optical Coherence Tomography Applications (8 papers), Advanced Numerical Methods in Computational Mathematics (8 papers), Differential Equations and Numerical Methods (7 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Numerical methods in inverse problems (4 papers), Electromagnetic Simulation and Numerical Methods (4 papers) and Numerical methods in engineering (4 papers). The work is most often cited by research in Numerical Analysis (45 citations), Modeling and Simulation (22 citations) and Computer Vision and Pattern Recognition (82 citations). Sílvia Barbeiro has collaborated with scholars based in Portugal, Spain and Netherlands. Frequent co-authors include J.A. Ferreira, Adérito Araújo, Pedro Serranho, Rui Bernardes, José Cunha‐Vaz, Rolf Dieter Grigorieff, Luís Pinto, Mary F. Wheeler, Miguel Morgado and A. Correia. Their work appears in journals such as SHILAP Revista de lepidopterología, Optics Express and Computer Methods in Applied Mechanics and Engineering.

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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