Juan Morales‐Sánchez

759 total citations
49 papers, 381 citations indexed

About

Juan Morales‐Sánchez is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Juan Morales‐Sánchez has authored 49 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 15 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Biomedical Engineering. Recurrent topics in Juan Morales‐Sánchez's work include Medical Image Segmentation Techniques (21 papers), Retinal Imaging and Analysis (10 papers) and Glaucoma and retinal disorders (7 papers). Juan Morales‐Sánchez is often cited by papers focused on Medical Image Segmentation Techniques (21 papers), Retinal Imaging and Analysis (10 papers) and Glaucoma and retinal disorders (7 papers). Juan Morales‐Sánchez collaborates with scholars based in Spain, Austria and Pakistan. Juan Morales‐Sánchez's co-authors include Rafael Verdú‐Monedero, José‐Luis Sancho‐Gómez, Rosa-María Menchón-Lara, Inmaculada Sellés-Navarro, Luis Weruaga, Valery Naranjo, Rocío del Amor, Gabriel García, Juan L. G. Guirao and Adrián Colomer and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and Signal Processing.

In The Last Decade

Juan Morales‐Sánchez

46 papers receiving 364 citations

Peers

Countries citing papers authored by Juan Morales‐Sánchez

Since Specialization

Citations

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

Fields of papers citing papers by Juan Morales‐Sánchez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Morales‐Sánchez

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Glaucoma detection: Binocular approach and clinical data in machine learning 2024 ·Artificial Intelligence in Medicine ·(unknown), Juan Morales‐Sánchez, Rafael Verdú‐Monedero, José‐Luis Sancho‐Gómez	4
2	A Swarming Meyer Wavelet Computing Approach to Solve the Transport System of Goods 2023 ·Axioms ·Zulqurnain Sabir, Tareq Saeed, Juan L. G. Guirao, Juan Morales‐Sánchez, (unknown)	8
3	Analysis of the Asymmetry between Both Eyes in Early Diagnosis of Glaucoma Combining Features Extracted from Retinal Images and OCTs into Classification Models 2023 ·Sensors ·(unknown), Rafael Verdú‐Monedero, (unknown), Juan Morales‐Sánchez, Inmaculada Sellés-Navarro	4
4	PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment 2022 ·Scientific Data ·(unknown), Juan Morales‐Sánchez, Rafael Verdú‐Monedero, Inmaculada Sellés-Navarro, (unknown), José‐Luis Sancho‐Gómez	59
5	Using Maxwell Distribution to Handle Selector’s Indecisiveness in Choice Data: A New Latent Bayesian Choice Model 2022 ·Applied Sciences ·Muhammad Usman Arshad, (unknown), Juan L. G. Guirao, Juan Morales‐Sánchez, (unknown)	1
6	Assisting the decision making-A generalization of choice models to handle the binary choices 2022 ·AIMS Mathematics ·Muhammad Arshad, Salman Cheema, Juan L. G. Guirao, Juan Morales‐Sánchez, (unknown)	0
7	Decision Trees for Glaucoma Screening Based on the Asymmetry of the Retinal Nerve Fiber Layer in Optical Coherence Tomography 2022 ·Sensors ·(unknown), Rafael Verdú‐Monedero, Juan Morales‐Sánchez, Inmaculada Sellés-Navarro, (unknown), José‐Luis Sancho‐Gómez	7
8	Circumpapillary OCT-Focused Hybrid Learning for Glaucoma Grading Using Tailored\nPrototypical Neural Networks 2021 ·RiuNet (Politechnical University of Valencia) ·Gabriel García, Rocío del Amor, Adrián Colomer, Rafael Verdú‐Monedero, Juan Morales‐Sánchez, Valery Naranjo	19
9	Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging 2021 ·Sensors ·(unknown), Rafael Verdú‐Monedero, Juan Morales‐Sánchez, Inmaculada Sellés-Navarro, Rocío del Amor, Gabriel García, Valery Naranjo	7
10	Portal imaging: Performance improvement in noise reduction by means of wavelet processing 2015 ·Physica Medica ·Antonio González‐López, Juan Morales‐Sánchez, (unknown), (unknown), Rafael Verdú‐Monedero	4
11	Convergence analysis of multidimensional parametric deformable models 2015 ·Computer Vision and Image Understanding ·(unknown), Rafael Verdú‐Monedero, Juan Morales‐Sánchez	3
12	Automatic image-based segmentation of the heart from CT scans 2014 ·EURASIP Journal on Image and Video Processing ·(unknown), Juan Morales‐Sánchez, (unknown), Rosa-María Menchón-Lara, Rafael Verdú‐Monedero, José‐Luis Sancho‐Gómez	19
13	Automatic detection of the intima-media thickness in ultrasound images of the common carotid artery using neural networks 2013 ·Medical & Biological Engineering & Computing ·Rosa-María Menchón-Lara, (unknown), Juan Morales‐Sánchez, José‐Luis Sancho‐Gómez	49
14	Measurement of Carotid Intima-Media Thickness in ultrasound images by means of an automatic segmentation process based on machine learning 2013 ·Rosa-María Menchón-Lara, (unknown), (unknown), Rafael Verdú‐Monedero, Juan Morales‐Sánchez, José‐Luis Sancho‐Gómez	5
15	Design ofB- spline multidimensional deformable models in the frequency domain 2012 ·Mathematical and Computer Modelling ·(unknown), Rafael Verdú‐Monedero, Juan Morales‐Sánchez	2
16	Statistical Characterization of Portal Images and Noise from Portal Imaging Systems 2012 ·Journal of Digital Imaging ·Antonio González‐López, Juan Morales‐Sánchez, Rafael Verdú‐Monedero, (unknown)	3
17	Segmentation of the Common Carotid Artery Walls Based on a Frequency Implementation of Active Contours 2012 ·Journal of Digital Imaging ·(unknown), Rosa-María Menchón-Lara, Juan Morales‐Sánchez, Rafael Verdú‐Monedero, (unknown), José‐Luis Sancho‐Gómez	16
18	DRR and Portal Image Registration for Automatic Patient Positioning in Radiotherapy Treatment 2011 ·Journal of Digital Imaging ·(unknown), (unknown), Rafael Verdú‐Monedero, Juan Morales‐Sánchez, José‐Luis Sancho‐Gómez	5
19	Frequency implementation of the Euler-Lagrange equations for variational image registration 2008 ·IEEE Signal Processing Letters ·Rafael Verdú‐Monedero, (unknown), Juan Morales‐Sánchez	11
20	Frequency domain formulation of active parametric deformable models 2004 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Luis Weruaga, (unknown), Juan Morales‐Sánchez	15

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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