Pedro Sanchez

484 total citations
8 papers, 171 citations indexed

About

Pedro Sanchez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Geriatrics and Gerontology. According to data from OpenAlex, Pedro Sanchez has authored 8 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Geriatrics and Gerontology. Recurrent topics in Pedro Sanchez's work include Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning in Healthcare (2 papers) and Bayesian Modeling and Causal Inference (1 paper). Pedro Sanchez is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning in Healthcare (2 papers) and Bayesian Modeling and Causal Inference (1 paper). Pedro Sanchez collaborates with scholars based in United Kingdom, Japan and Greece. Pedro Sanchez's co-authors include Sotirios A. Tsaftaris, Alison Q. O’Neil, Tian Xia, Hannah Watson, Spyridon Thermos, Brandon Schmandt, Chaoyang Wang, Ross Maguire, Nicolas Pugeault and Alexander Weir and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Pedro Sanchez

7 papers receiving 167 citations

Peers

Pedro Sanchez

AI

CVPR

RNMI

HI

SP

Senan Doyle France

Kaleb Smith United States

Aixia Guo United States

Cynthia Zeng United States

Saeed Amal United States

Kimberly Villalobos Carballo United States

Nekane Larburu Spain

Eva Weicken Germany

Tianyuan Yao United States

Alicia Curth United Kingdom

Senan Doyle France

Pedro Sanchez

45 ×0.6

AI

34 ×0.9

CVPR

35 ×1.1

RNMI

11 ×0.5

HI

5 ×0.3

SP

Citations per year, relative to Pedro Sanchez Pedro Sanchez (= 1×) peers Senan Doyle

Countries citing papers authored by Pedro Sanchez

Since Specialization

Citations

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

Fields of papers citing papers by Pedro Sanchez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Sanchez

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Sanchez. A scholar is included among the top collaborators of Pedro Sanchez 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 Sanchez. Pedro Sanchez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Maguire, Ross, Brandon Schmandt, Ruijia Wang, Qingkai Kong, & Pedro Sanchez. (2024). Generalization of Deep-Learning Models for Classification of Local Distance Earthquakes and Explosions across Various Geologic Settings. Seismological Research Letters. 95(4). 2229–2238. 9 indexed citations

2.

Sanchez, Pedro, et al.. (2024). Zero-Shot Medical Phrase Grounding With Off-the-Shelf Diffusion Models. IEEE Journal of Biomedical and Health Informatics. 29(12). 9051–9059. 4 indexed citations

3.

Panagakis, Yannis, et al.. (2024). Benchmarking Counterfactual Image Generation. 133207–133230.

4.

Sanchez, Pedro, et al.. (2024). Compositionally Equivariant Representation Learning. IEEE Transactions on Medical Imaging. 43(6). 2169–2179. 1 indexed citations

5.

Kascenas, Antanas, Pedro Sanchez, Chaoyang Wang, et al.. (2023). The role of noise in denoising models for anomaly detection in medical images. Medical Image Analysis. 90. 102963–102963. 22 indexed citations

6.

Campello, Víctor M., Tian Xia, Xiao Liu, et al.. (2022). Cardiac aging synthesis from cross-sectional data with conditional generative adversarial networks. Frontiers in Cardiovascular Medicine. 9. 983091–983091. 11 indexed citations

7.

Sanchez, Pedro, et al.. (2022). Learning disentangled representations in the imaging domain. Medical Image Analysis. 80. 102516–102516. 39 indexed citations

8.

Sanchez, Pedro, et al.. (2022). Causal machine learning for healthcare and precision medicine. Royal Society Open Science. 9(8). 220638–220638. 85 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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