Andrea Rueda

451 total citations
22 papers, 275 citations indexed

About

Andrea Rueda is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Andrea Rueda has authored 22 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Cognitive Neuroscience. Recurrent topics in Andrea Rueda's work include Medical Image Segmentation Techniques (7 papers), Functional Brain Connectivity Studies (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Andrea Rueda is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Functional Brain Connectivity Studies (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Andrea Rueda collaborates with scholars based in Colombia, Spain and Australia. Andrea Rueda's co-authors include Eduardo Romero, Norberto Malpica, Fabio A. González, Luís Felipe Uriza, Diana Matallana, Pablo Reyes, Olivier Salvado, Oscar Acosta, Jürgen Fripp and Hernando Santamaría‐García and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Andrea Rueda

20 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Rueda Colombia 8 137 93 69 46 43 22 275
Xiuchao Sui Singapore 5 165 1.2× 82 0.9× 34 0.5× 24 0.5× 15 0.3× 7 265
Samadrita Roy Chowdhury United States 8 94 0.7× 127 1.4× 42 0.6× 40 0.9× 28 0.7× 13 266
Rémi Giraud France 7 104 0.8× 82 0.9× 25 0.4× 39 0.8× 13 0.3× 12 283
Kola Babalola United Kingdom 8 210 1.5× 130 1.4× 43 0.6× 8 0.2× 25 0.6× 18 394
Byungkon Kang South Korea 7 220 1.6× 44 0.5× 65 0.9× 130 2.8× 41 1.0× 17 397
Nicolas Wiest-Daesslé France 9 198 1.4× 283 3.0× 62 0.9× 66 1.4× 16 0.4× 16 487
Tzu-An Song United States 10 115 0.8× 190 2.0× 31 0.4× 47 1.0× 25 0.6× 17 363
Xavier Tomas-Fernandez United States 8 62 0.5× 75 0.8× 46 0.7× 22 0.5× 20 0.5× 12 237
Bénédicte Mortamet Switzerland 6 52 0.4× 165 1.8× 101 1.5× 11 0.2× 55 1.3× 9 324

Countries citing papers authored by Andrea Rueda

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Rueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Rueda

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Rueda. A scholar is included among the top collaborators of Andrea Rueda 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 Andrea Rueda. Andrea Rueda 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.
Rueda, Andrea, et al.. (2025). A multi-attention deep architecture to stratify lung nodule malignancy from CT scans. Medical Engineering & Physics. 137(1). 104305–104305. 1 indexed citations
2.
Rueda, Andrea, et al.. (2023). A volumetric multi-head attention strategy for lung nodule classification in CT. 96–96. 1 indexed citations
3.
Rueda, Andrea, et al.. (2022). A Multi-Scale Self-Attention Network to Discriminate Pulmonary Nodules. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–4. 1 indexed citations
4.
Rueda, Andrea, et al.. (2021). Separación de fuentes auditivas para pedagogía musical. SHILAP Revista de lepidopterología. 22(1). 22–33. 3 indexed citations
5.
Reyes, Pablo, Andrea Rueda, Luís Felipe Uriza, & Diana Matallana. (2019). Networks Disrupted in Linguistic Variants of Frontotemporal Dementia. Frontiers in Neurology. 10. 903–903. 14 indexed citations
6.
Reyes, Pablo, et al.. (2018). Functional Connectivity Changes in Behavioral, Semantic, and Nonfluent Variants of Frontotemporal Dementia. Behavioural Neurology. 2018. 1–10. 39 indexed citations
7.
8.
Rueda, Andrea, et al.. (2016). Classification of Alzheimer's disease in MRI using visual saliency information. 1–7. 5 indexed citations
9.
Rueda, Andrea, et al.. (2016). A sparse Bayesian representation for super-resolution of cardiac MR images. Magnetic Resonance Imaging. 36. 77–85. 7 indexed citations
10.
Rueda, Andrea, Fabio A. González, & Eduardo Romero. (2014). Extracting Salient Brain Patterns for Imaging-Based Classification of Neurodegenerative Diseases. IEEE Transactions on Medical Imaging. 33(6). 1262–1274. 30 indexed citations
11.
Rueda, Andrea, et al.. (2013). Extracting regional brain patterns for classification of neurodegenerative diseases. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8922. 892208–892208. 1 indexed citations
12.
Rueda, Andrea, Fabio A. González, & Eduardo Romero. (2013). SALIENCY-BASED CHARACTERIZATION OF GROUP DIFFERENCES FOR MAGNETIC RESONANCE DISEASE CLASSIFICATION. SHILAP Revista de lepidopterología. 80(178). 21–28. 4 indexed citations
13.
Rueda, Andrea, et al.. (2013). Discovering Regional Pathological Patterns in Brain MRI. Lirias (KU Leuven). 19. 152–156. 2 indexed citations
14.
Rueda, Andrea, et al.. (2013). Classification of Alzheimer's disease using regional saliency maps from brain MR volumes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4 indexed citations
15.
Rueda, Andrea, et al.. (2013). Super-resolution in cardiac MRI using a Bayesian approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8669. 866932–866932.
16.
Carvajal, Ricardo Enrique Gutiérrez, Andrea Rueda, & Eduardo Romero. (2013). Learning semantic histopathological representation for basal cell carcinoma classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8676. 86760U–86760U. 7 indexed citations
17.
Rueda, Andrea, Norberto Malpica, & Eduardo Romero. (2012). Single-image super-resolution of brain MR images using overcomplete dictionaries. Medical Image Analysis. 17(1). 113–132. 115 indexed citations
18.
Acosta, Oscar, Jürgen Fripp, Vincent Doré, et al.. (2011). Cortical surface mapping using topology correction, partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer's disease. Journal of Neuroscience Methods. 205(1). 96–109. 13 indexed citations
19.
Narváez, Fabián, Andrea Rueda, & Eduardo Romero. (2011). Breast Masses Classification using a Sparse Representation. 26–33. 2 indexed citations
20.
Rueda, Andrea, Oscar Acosta, Michel Couprie, et al.. (2010). Topology-corrected segmentation and local intensity estimates for improved partial volume classification of brain cortex in MRI. Journal of Neuroscience Methods. 188(2). 305–315. 23 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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