Clarisa Sánchez

891 total citations
3 papers, 57 citations indexed

About

Clarisa Sánchez is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computational Mechanics. According to data from OpenAlex, Clarisa Sánchez has authored 3 papers receiving a total of 57 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Radiology, Nuclear Medicine and Imaging, 1 paper in Ophthalmology and 1 paper in Computational Mechanics. Recurrent topics in Clarisa Sánchez's work include Retinal and Optic Conditions (1 paper), Sparse and Compressive Sensing Techniques (1 paper) and Advanced MRI Techniques and Applications (1 paper). Clarisa Sánchez is often cited by papers focused on Retinal and Optic Conditions (1 paper), Sparse and Compressive Sensing Techniques (1 paper) and Advanced MRI Techniques and Applications (1 paper). Clarisa Sánchez collaborates with scholars based in Netherlands, United Kingdom and Germany. Clarisa Sánchez's co-authors include Jonas Teuwen, Jan‐Jakob Sonke, Adnan Tufail, Bart Liefers, Abraham Olvera‐Barrios, Paul Taylor, Tim Treis, Andrew Lotery, Philipp L. Müller and Clare Bailey and has published in prestigious journals such as Translational Vision Science & Technology, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and ArXiv.org.

In The Last Decade

Clarisa Sánchez

2 papers receiving 56 citations

Peers

Clarisa Sánchez

RNMI

BE

OPHTH

CVPR

CM

Mateo Gende Spain

Savita Madhusudhan United Kingdom

Paul Raphaelian United States

Dohoon Ryu South Korea

Daniel Ting Singapore

Y. J. Song China

Rachana Sathish India

Karishma Chandra United States

J. Tang China

Mateo Gende Spain

Clarisa Sánchez

55 ×1.1

RNMI

17 ×0.7

BE

30 ×2.1

OPHTH

6 ×0.5

CVPR

0 ×0.0

CM

Citations per year, relative to Clarisa Sánchez Clarisa Sánchez (= 1×) peers Mateo Gende

Countries citing papers authored by Clarisa Sánchez

Since Specialization

Citations

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

Fields of papers citing papers by Clarisa Sánchez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clarisa Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of Clarisa Sánchez. A scholar is included among the top collaborators of Clarisa Sánchez 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 Clarisa Sánchez. Clarisa Sánchez 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:

3 of 3 papers shown

1.

Jong, Edwin D. de, Hugo M. Horlings, Clarisa Sánchez, et al.. (2025). Foundation Models in Medical Imaging: A Review and Outlook. ArXiv.org.

2.

Sonke, Jan‐Jakob, et al.. (2022). Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 722–731. 38 indexed citations

3.

Müller, Philipp L., Bart Liefers, Tim Treis, et al.. (2021). Reliability of Retinal Pathology Quantification in Age-Related Macular Degeneration: Implications for Clinical Trials and Machine Learning Applications. Translational Vision Science & Technology. 10(3). 4–4. 19 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.

Explore authors with similar magnitude of impact