Pedro Serranho

1.2k total citations
52 papers, 743 citations indexed

About

Pedro Serranho is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Ophthalmology. According to data from OpenAlex, Pedro Serranho has authored 52 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Biomedical Engineering and 21 papers in Ophthalmology. Recurrent topics in Pedro Serranho's work include Retinal Imaging and Analysis (27 papers), Optical Coherence Tomography Applications (17 papers) and Glaucoma and retinal disorders (16 papers). Pedro Serranho is often cited by papers focused on Retinal Imaging and Analysis (27 papers), Optical Coherence Tomography Applications (17 papers) and Glaucoma and retinal disorders (16 papers). Pedro Serranho collaborates with scholars based in Portugal, Germany and United Kingdom. Pedro Serranho's co-authors include Rui Bernardes, Conceição Lobo, Rainer Kreß, Sílvia Barbeiro, Adérito Araújo, José Cunha‐Vaz, Rainer Kreß, Pedro Guimarães, Olha Ivanyshyn and Carlos J.S. Alves and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Optics Express.

In The Last Decade

Pedro Serranho

50 papers receiving 704 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Serranho Portugal 14 339 306 228 160 152 52 743
Bernhard Burgeth Germany 15 43 0.1× 189 0.6× 29 0.1× 35 0.2× 336 2.2× 31 712
Jiaming Liu United States 14 316 0.9× 318 1.0× 7 0.0× 20 0.1× 192 1.3× 48 716
Jean‐Louis Dillenseger France 18 269 0.8× 311 1.0× 5 0.0× 12 0.1× 505 3.3× 89 979
Ali Mahloojifar Iran 13 493 1.5× 783 2.6× 149 0.7× 1 0.0× 211 1.4× 47 1.1k
Zhe Jiang China 13 228 0.7× 238 0.8× 58 0.3× 132 0.9× 22 498
Tamar Peli United States 10 32 0.1× 106 0.3× 43 0.2× 5 0.0× 358 2.4× 22 734
Marc C. Robini France 12 125 0.4× 203 0.7× 3 0.0× 24 0.1× 92 0.6× 38 383
Hans C. van Assen Netherlands 18 232 0.7× 356 1.2× 6 0.0× 20 0.1× 294 1.9× 56 1.0k
Zhiguo Gui China 19 546 1.6× 667 2.2× 5 0.0× 9 0.1× 551 3.6× 147 1.3k
Paul Kube United States 8 26 0.1× 237 0.8× 206 0.9× 12 0.1× 166 1.1× 16 509

Countries citing papers authored by Pedro Serranho

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Serranho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Serranho

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Serranho. A scholar is included among the top collaborators of Pedro Serranho 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 Pedro Serranho. Pedro Serranho 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.
Antunes, Pedro R. S., et al.. (2025). The MFS-SVD Method for the Laplace Equation in Three Dimensions. SIAM Journal on Scientific Computing. 47(1). A454–A471.
3.
Serranho, Pedro, et al.. (2025). A hybrid method for the time-harmonic inverse acoustic transmission problem. Physica Scripta. 100(4). 45228–45228.
4.
Guimarães, Pedro, Pedro Serranho, João Valente Duarte, et al.. (2024). The hemodynamic response function as a type 2 diabetes biomarker: a data-driven approach. Frontiers in Neuroinformatics. 17. 1321178–1321178. 1 indexed citations
5.
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
6.
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
7.
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
8.
Guimarães, Pedro, Pedro Serranho, João Martins, et al.. (2022). Retinal Aging in 3× Tg-AD Mice Model of Alzheimer's Disease. Frontiers in Aging Neuroscience. 14. 832195–832195. 7 indexed citations
9.
Silva, Luís, João R. Vaz, Maria António Castro, et al.. (2015). Recurrence quantification analysis and support vector machines for golf handicap and low back pain EMG classification. Journal of Electromyography and Kinesiology. 25(4). 637–647. 30 indexed citations
10.
Araújo, Adérito, Sílvia Barbeiro, & Pedro Serranho. (2015). Convergence of Finite Difference Schemes for Nonlinear Complex Reaction-Diffusion Processes. SIAM Journal on Numerical Analysis. 53(1). 228–250. 4 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.
Guimarães, Pedro, et al.. (2012). 3D Retinal Vascular Network from OCT data. Investigative Ophthalmology & Visual Science. 53(14). 4099–4099. 1 indexed citations
15.
Serranho, Pedro, et al.. (2012). 3D nonlinear complex-diffusion filter on GPU. PubMed. 2012. 110–113. 2 indexed citations
16.
17.
Bernardes, Rui, et al.. (2012). Optical Coherence Tomography ? Automatic Retina Classification Through Support Vector Machines. European Ophthalmic Review. 6(4). 200–200. 11 indexed citations
18.
Bernardes, Rui, Torcato Santos, Pedro Serranho, Conceição Lobo, & José Cunha‐Vaz. (2011). Noninvasive Evaluation of Retinal Leakage Using Optical Coherence Tomography. Ophthalmologica. 226(2). 29–36. 11 indexed citations
19.
Bernardes, Rui, et al.. (2010). Improved adaptive complex diffusion despeckling filter. Optics Express. 18(23). 24048–24048. 120 indexed citations
20.
Kreß, Rainer & Pedro Serranho. (2006). A hybrid method for sound-hard obstacle reconstruction. Journal of Computational and Applied Mathematics. 204(2). 418–427. 27 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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