Rui Bernardes

2.2k total citations
83 papers, 1.6k citations indexed

About

Rui Bernardes is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Biomedical Engineering. According to data from OpenAlex, Rui Bernardes has authored 83 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Radiology, Nuclear Medicine and Imaging, 50 papers in Ophthalmology and 26 papers in Biomedical Engineering. Recurrent topics in Rui Bernardes's work include Retinal Imaging and Analysis (52 papers), Glaucoma and retinal disorders (34 papers) and Optical Coherence Tomography Applications (26 papers). Rui Bernardes is often cited by papers focused on Retinal Imaging and Analysis (52 papers), Glaucoma and retinal disorders (34 papers) and Optical Coherence Tomography Applications (26 papers). Rui Bernardes collaborates with scholars based in Portugal, Czechia and United Kingdom. Rui Bernardes's co-authors include José Cunha‐Vaz, Conceição Lobo, Pedro Serranho, Miguel Castelo‐Branco, Sandrina Nunes, Mário Soares, Adérito Araújo, Sílvia Barbeiro, Andreia Rosa and Isabel Pires and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rui Bernardes

75 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rui Bernardes Portugal 16 1.0k 890 268 255 169 83 1.6k
Songtao Yuan China 28 1.1k 1.0× 1.0k 1.1× 571 2.1× 342 1.3× 218 1.3× 121 2.1k
Christian Y. Mardin Germany 26 2.0k 1.9× 1.4k 1.6× 311 1.2× 315 1.2× 97 0.6× 134 2.2k
Priyatham S. Mettu United States 18 1.2k 1.2× 1.1k 1.2× 303 1.1× 316 1.2× 247 1.5× 37 1.6k
Thomas Theelen Netherlands 31 1.7k 1.6× 1.2k 1.4× 794 3.0× 273 1.1× 266 1.6× 90 2.8k
Delia Cabrera DeBuc United States 26 1.6k 1.6× 1.6k 1.8× 211 0.8× 575 2.3× 150 0.9× 113 2.2k
Conceição Lobo Portugal 23 1.6k 1.5× 1.2k 1.4× 271 1.0× 106 0.4× 56 0.3× 69 1.9k
Edward Chaum United States 27 1.3k 1.3× 1.3k 1.5× 934 3.5× 99 0.4× 496 2.9× 93 2.8k
Kyungmoo Lee United States 22 1.5k 1.5× 1.5k 1.7× 145 0.5× 648 2.5× 232 1.4× 60 1.9k
Gábor Márk Somfai Hungary 23 1.1k 1.1× 934 1.0× 257 1.0× 288 1.1× 66 0.4× 96 1.4k
Bingyao Tan Singapore 22 1.2k 1.2× 1.2k 1.3× 148 0.6× 427 1.7× 40 0.2× 116 1.7k

Countries citing papers authored by Rui Bernardes

Since Specialization
Citations

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

Fields of papers citing papers by Rui Bernardes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Bernardes

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Bernardes. A scholar is included among the top collaborators of Rui Bernardes 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 Rui Bernardes. Rui Bernardes 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.
Guimarães, Pedro, Elisa J. Campos, Rosa Fernandes, et al.. (2025). Retinal OCT-Derived Texture Features as Potential Biomarkers for Early Diagnosis and Progression of Diabetic Retinopathy. Investigative Ophthalmology & Visual Science. 66(1). 7–7. 2 indexed citations
2.
Rauscher, Franziska G. & Rui Bernardes. (2024). Retinal OCT biomarkers and their association with cognitive function—clinical and AI approaches. Die Ophthalmologie. 122(S1). 20–28. 1 indexed citations
3.
Batista, Ana, Pedro Guimarães, João Martins, et al.. (2023). Normative mice retinal thickness: 16-month longitudinal characterization of wild-type mice and changes in a model of Alzheimer's disease. Frontiers in Aging Neuroscience. 15. 1161847–1161847. 11 indexed citations
4.
Batista, Ana, Pedro Guimarães, Pedro Serranho, et al.. (2023). Retinal imaging in animal models: Searching for biomarkers of neurodegeneration. SHILAP Revista de lepidopterología. 3. 1156605–1156605. 4 indexed citations
6.
Batista, Ana, Pedro Serranho, Mário Santos, et al.. (2023). Phase-Resolved Optical Coherence Elastography: An Insight into Tissue Displacement Estimation. Sensors. 23(8). 3974–3974. 2 indexed citations
7.
Bernardes, Rui, et al.. (2023). Textural properties of microglial activation in Alzheimer’s disease as measured by (R)-[11C]PK11195 PET. Brain Communications. 5(3). fcad148–fcad148.
9.
Santiago, Beatriz, Isabel Santana, João Castelhano, et al.. (2019). Interplay Between Macular Retinal Changes and White Matter Integrity in Early Alzheimer’s Disease. Journal of Alzheimer s Disease. 70(3). 723–732. 10 indexed citations
10.
Bernardes, Rui, et al.. (2014). Optical properties of the human retina as a window into systemic and brain diseases. Investigative Ophthalmology & Visual Science. 55(13). 3367–3367. 2 indexed citations
11.
Correia, A., Luís Pinto, Adérito Araújo, et al.. (2014). Monte Carlo simulation of diabetic macular edema changes on optical coherence tomography. Investigative Ophthalmology & Visual Science. 55(13). 4807–4807. 1 indexed citations
12.
Guimarães, Pedro, et al.. (2013). Improved 3-Dimensional Retinal Vascular Tree Segmentation and Reconstruction from High-Definition Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 54(15). 28–28. 1 indexed citations
13.
Guimarães, Pedro, et al.. (2012). Vascular Network of the human macula from high-definition OCT. Investigative Ophthalmology & Visual Science. 53(14). 4108–4108. 1 indexed citations
14.
Bernardes, Rui, Conceição Lobo, & José Cunha‐Vaz. (2012). Measuring Retinal Fluorescein Leakage into the Human Vitreous with a Modified Confocal Scanning Laser Ophthalmoscope. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).
15.
Guimarães, Pedro, et al.. (2012). 3D Retinal Vascular Network from OCT data. Investigative Ophthalmology & Visual Science. 53(14). 4099–4099. 1 indexed citations
16.
Lobo, Conceição, Luísa Ribeiro, Sandrina Nunes, et al.. (2012). Patterns of Progression in Diabetic Retinopathy. Correlation Between Phenotypes and Genotypes. Investigative Ophthalmology & Visual Science. 53(14). 1719–1719. 1 indexed citations
17.
Silva, Rufino, Pedro Fonseca, Isabel Pires, et al.. (2010). Early Markers of Choroidal Neovascularization in the Fellow Eye of Patients with Unilateral Exudative Age-Related Macular Degeneration. Ophthalmologica. 225(3). 144–149. 32 indexed citations
18.
Cunha‐Vaz, José, Rui Bernardes, & Conceição Lobo. (2010). Blood-Retinal Barrier. European Journal of Ophthalmology. 21(6_suppl). 3–9. 398 indexed citations
19.
Nunes, Sandrina, et al.. (2010). Central retinal thickness measured with HD-OCT shows a weak correlation with visual acuity in eyes with CSME. British Journal of Ophthalmology. 94(9). 1201–1204. 28 indexed citations
20.
Duarte, Lilianne, et al.. (2004). Red dots counting on digitalized fundus images of mild nonproliferative retinopathy in Diabetes type 2. Investigative Ophthalmology & Visual Science. 45(13). 2985–2985. 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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