María García

2.4k total citations
46 papers, 1.3k citations indexed

About

María García is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Cognitive Neuroscience. According to data from OpenAlex, María García has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Ophthalmology and 13 papers in Cognitive Neuroscience. Recurrent topics in María García's work include Retinal Imaging and Analysis (19 papers), Retinal Diseases and Treatments (13 papers) and Functional Brain Connectivity Studies (11 papers). María García is often cited by papers focused on Retinal Imaging and Analysis (19 papers), Retinal Diseases and Treatments (13 papers) and Functional Brain Connectivity Studies (11 papers). María García collaborates with scholars based in Spain, United States and United Kingdom. María García's co-authors include Roberto Hornero, María Isabel López, Clara I. Sá‎nchez, Daniel Abásolo, Carlos Gómez, Jesús Poza, Agustín Mayo-Íscar, M. López, Alberto Fernández and Daniel Álvarez and has published in prestigious journals such as Sensors, Investigative Ophthalmology & Visual Science and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

María García

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María García Spain 19 674 498 378 308 137 46 1.3k
Shaun Frost Australia 16 601 0.9× 572 1.1× 106 0.3× 147 0.5× 181 1.3× 44 1.1k
Noah Lee United States 15 333 0.5× 153 0.3× 308 0.8× 284 0.9× 15 0.1× 29 1.0k
Shreya Bhat India 12 150 0.2× 65 0.1× 736 1.9× 100 0.3× 69 0.5× 21 1.3k
S. Vinitha Sree Singapore 10 389 0.6× 50 0.1× 593 1.6× 134 0.4× 15 0.1× 10 1.3k
Jianfeng Wu United States 13 144 0.2× 73 0.1× 126 0.3× 88 0.3× 64 0.5× 34 491
Shengpei Wang China 14 225 0.3× 71 0.1× 274 0.7× 98 0.3× 20 0.1× 41 604
Chunlan Yang China 12 253 0.4× 41 0.1× 181 0.5× 60 0.2× 36 0.3× 37 528
Jiehui Jiang China 19 491 0.7× 17 0.0× 311 0.8× 95 0.3× 206 1.5× 143 1.3k
Yuchuan Qiao United States 10 176 0.3× 44 0.1× 82 0.2× 67 0.2× 71 0.5× 32 423
Andrea Duggento Italy 20 530 0.8× 15 0.0× 564 1.5× 87 0.3× 72 0.5× 65 1.6k

Countries citing papers authored by María García

Since Specialization
Citations

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

Fields of papers citing papers by María García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María García

This figure shows the co-authorship network connecting the top 25 collaborators of María García. A scholar is included among the top collaborators of María García 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 María García. María García 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.
Hornero, Roberto, et al.. (2024). An explainable deep-learning model reveals clinical clues in diabetic retinopathy through SHAP. Biomedical Signal Processing and Control. 102. 107328–107328. 7 indexed citations
2.
López, María Isabel, et al.. (2024). Attention-based deep learning framework for automatic fundus image processing to aid in diabetic retinopathy grading. Computer Methods and Programs in Biomedicine. 249. 108160–108160. 16 indexed citations
3.
García, María, et al.. (2020). Automatic fundus image quality assessment: diagnostic accuracy in clinical practice. Investigative Ophthalmology & Visual Science. 61(7). 2033–2033. 1 indexed citations
4.
García, María, et al.. (2019). Combination of Global Features for the Automatic Quality Assessment of Retinal Images. Entropy. 21(3). 311–311. 7 indexed citations
5.
García, María, et al.. (2019). Entropy Rate Superpixel Classification for Automatic Red Lesion Detection in Fundus Images. Entropy. 21(4). 417–417. 11 indexed citations
6.
Gómez, Carlos, Jesús Poza, Víctor Rodríguez-González, et al.. (2019). Analysis of Volume Conduction Effects on Different Functional Connectivity Metrics: Application to Alzheimer’s Disease EEG Signals. PubMed. 2019. 6434–6437. 5 indexed citations
7.
Rodríguez-González, Víctor, Jesús Poza, Pablo Núñez, et al.. (2019). Towards Automatic Artifact Rejection in Resting-State MEG Recordings: Evaluating the Performance of the SOUND Algorithm. PubMed. 2019. 4807–4810. 6 indexed citations
8.
García, María, et al.. (2016). Automated detection of diabetic retinopathy in retinal images. Indian Journal of Ophthalmology. 64(1). 26–26. 42 indexed citations
9.
Poza, Jesús, Carlos Gómez, María García, et al.. (2014). Analysis of neural dynamics in mild cognitive impairment and Alzheimer's disease using wavelet turbulence. Journal of Neural Engineering. 11(2). 26010–26010. 20 indexed citations
10.
Poza, Jesús, Carlos Gómez, María García, Alberto Fernández, & Roberto Hornero. (2012). Analysis of Spontaneous MEG Activity in Mild Cognitive Impairment using the Wavelet Turbulence. 721–726. 1 indexed citations
11.
Gómez, Carlos, Jesús Poza, María García, Alberto Fernández, & Roberto Hornero. (2011). Regularity analysis of spontaneous MEG activity in Attention-Deficit/Hyperactivity Disorder. PubMed. 278. 1765–1768. 16 indexed citations
12.
Sá‎nchez, Clara I., Roberto Hornero, Agustín Mayo-Íscar, & María García. (2009). Mixture model-based clustering and logistic regression for automatic detection of microaneurysms in retinal images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7260. 72601M–72601M. 46 indexed citations
13.
Sá‎nchez, Clara I., María García, Agustín Mayo-Íscar, María Isabel López, & Roberto Hornero. (2009). Retinal image analysis based on mixture models to detect hard exudates. Medical Image Analysis. 13(4). 650–658. 155 indexed citations
14.
García, María, Clara I. Sá‎nchez, Jesús Poza, María Isabel López, & Roberto Hornero. (2009). Detection of Hard Exudates in Retinal Images Using a Radial Basis Function Classifier. Annals of Biomedical Engineering. 37(7). 1448–1463. 50 indexed citations
15.
García, María, Clara I. Sá‎nchez, María Isabel López, Daniel Abásolo, & Roberto Hornero. (2008). Neural network based detection of hard exudates in retinal images. Computer Methods and Programs in Biomedicine. 93(1). 9–19. 134 indexed citations
16.
García, María, et al.. (2008). Automatic detection of red lesions in retinal images using a multilayer perceptron neural network. PubMed. 97. 5425–5428. 34 indexed citations
17.
García, María, et al.. (2007). Selective Editing Strategies for the U. S. Census Bureau Foreign Trade Data 1. 2 indexed citations
18.
García, María, et al.. (2007). Feature Extraction and Selection for the Automatic Detection of Hard Exudates in Retinal Images. Conference proceedings. 2007. 4969–4972. 30 indexed citations
19.
Álvarez, Daniel, Roberto Hornero, María García, Félix del Campo, & Carlos Zamarrón. (2007). Improving diagnostic ability of blood oxygen saturation from overnight pulse oximetry in obstructive sleep apnea detection by means of central tendency measure. Artificial Intelligence in Medicine. 41(1). 13–24. 65 indexed citations
20.
Mayo-Íscar, Agustín, et al.. (2006). Automatic Image Processing Algorithm to Detect Hard Exudates based on Mixture Models. PubMed. 2006. 4453–4456. 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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