Marcos Martín‐Fernández

1.7k total citations
68 papers, 1.1k citations indexed

About

Marcos Martín‐Fernández is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marcos Martín‐Fernández has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 34 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marcos Martín‐Fernández's work include Medical Image Segmentation Techniques (26 papers), Advanced MRI Techniques and Applications (17 papers) and Image and Signal Denoising Methods (12 papers). Marcos Martín‐Fernández is often cited by papers focused on Medical Image Segmentation Techniques (26 papers), Advanced MRI Techniques and Applications (17 papers) and Image and Signal Denoising Methods (12 papers). Marcos Martín‐Fernández collaborates with scholars based in Spain, United Kingdom and United States. Marcos Martín‐Fernández's co-authors include Carlos Alberola‐López, Santiago Aja‐Fernández, Gonzalo Vegas‐Sánchez‐Ferrero, Pablo Casaseca‐de‐la‐Higuera, Rodrigo de Luis‐García, Juan Ruiz‐Alzola, Gabriel Ramos‐Llordén, Emma Muñoz‐Moreno, Lucilio Cordero‐Grande and Martha E. Shenton and has published in prestigious journals such as PLoS ONE, NeuroImage and IEEE Transactions on Image Processing.

In The Last Decade

Marcos Martín‐Fernández

62 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcos Martín‐Fernández Spain 20 498 431 193 145 138 68 1.1k
Ali Bilgin United States 20 1.0k 2.0× 500 1.2× 166 0.9× 154 1.1× 115 0.8× 136 1.7k
Celina Imielińska United States 13 419 0.8× 200 0.5× 131 0.7× 116 0.8× 171 1.2× 44 1.1k
Constantine Butakoff Spain 21 364 0.7× 311 0.7× 163 0.8× 131 0.9× 641 4.6× 65 1.5k
Yasser M. Kadah Egypt 22 627 1.3× 707 1.6× 283 1.5× 474 3.3× 273 2.0× 160 2.1k
Svitlana Zinger Netherlands 20 472 0.9× 293 0.7× 175 0.9× 201 1.4× 44 0.3× 107 1.4k
Javad Alirezaie Canada 17 429 0.9× 393 0.9× 306 1.6× 139 1.0× 43 0.3× 113 1.1k
Denis Kouamé France 19 315 0.6× 433 1.0× 546 2.8× 95 0.7× 82 0.6× 109 1.2k
Dazhe Zhao China 22 463 0.9× 643 1.5× 111 0.6× 423 2.9× 31 0.2× 146 1.5k
Jiliu Zhou China 19 565 1.1× 576 1.3× 185 1.0× 303 2.1× 15 0.1× 76 1.3k
Qiu‐Hua Lin China 16 176 0.4× 183 0.4× 126 0.7× 110 0.8× 68 0.5× 64 1.2k

Countries citing papers authored by Marcos Martín‐Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Marcos Martín‐Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcos Martín‐Fernández. 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 Marcos Martín‐Fernández. The network helps show where Marcos Martín‐Fernández may publish in the future.

Co-authorship network of co-authors of Marcos Martín‐Fernández

This figure shows the co-authorship network connecting the top 25 collaborators of Marcos Martín‐Fernández. A scholar is included among the top collaborators of Marcos Martín‐Fernández 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 Marcos Martín‐Fernández. Marcos Martín‐Fernández 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.
Menchón-Lara, Rosa-María, et al.. (2020). Fast 4D elastic group-wise image registration. Convolutional interpolation revisited. Computer Methods and Programs in Biomedicine. 200. 105812–105812. 7 indexed citations
2.
Usman, Muhammad, et al.. (2019). Space-time variant weighted regularization in compressed sensing cardiac cine MRI. Magnetic Resonance Imaging. 58. 44–55. 6 indexed citations
3.
Cordero‐Grande, Lucilio, et al.. (2018). A Second Order Multi-Stencil Fast Marching Method With a Non-Constant Local Cost Model. IEEE Transactions on Image Processing. 28(4). 1967–1979. 1 indexed citations
4.
Ramos‐Llordén, Gabriel, Gonzalo Vegas‐Sánchez‐Ferrero, Marcos Martín‐Fernández, Carlos Alberola‐López, & Santiago Aja‐Fernández. (2014). Anisotropic Diffusion Filter With Memory Based on Speckle Statistics for Ultrasound Images. IEEE Transactions on Image Processing. 24(1). 345–358. 96 indexed citations
5.
Casaseca‐de‐la‐Higuera, Pablo, Marcos Martín‐Fernández, Abbes Amira, et al.. (2014). A stochastic modelling framework for the reconstruction of cardiovascular signals. NORMA. 41. 676–679.
6.
Cordero‐Grande, Lucilio, Teresa Sevilla, Ana Revilla, Marcos Martín‐Fernández, & Carlos Alberola‐López. (2013). Assessment of the fibrotic myocardial tissue mechanics by image processing. Research Portal (King's College London). 40. 635–638. 1 indexed citations
7.
Casaseca‐de‐la‐Higuera, Pablo, et al.. (2012). Cardiovascular signal reconstruction based on shape modelling and non-stationary temporal modelling. European Signal Processing Conference. 1826–1830. 1 indexed citations
8.
Perez, Maria T., et al.. (2010). Multiphase level set algorithm for coupled segmentation of multiple regions. Application to MRI segmentation. PubMed. 2010. 5042–5045. 3 indexed citations
9.
Muñoz‐Moreno, Emma & Marcos Martín‐Fernández. (2009). Characterization of the similarity between diffusion tensors for image registration. Computers in Biology and Medicine. 39(3). 251–265. 5 indexed citations
10.
Casaseca‐de‐la‐Higuera, Pablo, et al.. (2009). A Multichannel Model-Based Methodology for Extubation Readiness Decision of Patients on Weaning Trials. IEEE Transactions on Biomedical Engineering. 56(7). 1849–1863. 9 indexed citations
11.
Martín‐Fernández, Marcos, et al.. (2009). A Log-Euclidean Polyaffine Registration for Articulated Structures in Medical Images. Lecture notes in computer science. 12(Pt 1). 156–164. 7 indexed citations
12.
Martín‐Fernández, Marcos, Emma Muñoz‐Moreno, Leila Cammoun, et al.. (2008). Sequential anisotropic multichannel Wiener filtering with Rician bias correction applied to 3D regularization of DWI data. Medical Image Analysis. 13(1). 19–35. 24 indexed citations
13.
Cárdenes, Rubén, Emma Muñoz‐Moreno, Rodrigo de Luis‐García, et al.. (2008). Automatic articulated registration of hand radiographs. Image and Vision Computing. 27(8). 1207–1222. 19 indexed citations
14.
Martín‐Fernández, Marcos, et al.. (2007). Neural Network-Assisted Fiber Tracking of Synthetic and White Matter DT-MR Images. World Congress on Engineering. 618–623.
15.
Bouix, Sylvain, Marcos Martín‐Fernández, Motoaki Nakamura, et al.. (2007). On evaluating brain tissue classifiers without a ground truth. NeuroImage. 36(4). 1207–1224. 72 indexed citations
16.
Martín‐Fernández, Marcos, et al.. (2006). P2F-1 A Speckle Removal Filter Based on Anisotropic Wiener Filtering and the Rice Distribution. 1694–1697. 3 indexed citations
17.
Cordero‐Grande, Lucilio, Pablo Casaseca‐de‐la‐Higuera, Marcos Martín‐Fernández, & Carlos Alberola‐López. (2006). Endocardium and Epicardium Contour Modeling Based on Markov Random Fields and Active Contours. PubMed. 24. 928–931. 1 indexed citations
18.
Martín‐Fernández, Marcos, et al.. (2005). Two Methods for Validating Brain Tissue Classifiers. Lecture notes in computer science. 8(Pt 1). 515–522. 17 indexed citations
19.
Estépar, Raúl San Jośe, et al.. (2003). A theoretical framework to three-dimensional ultrasound reconstruction from irregularly sampled data. Ultrasound in Medicine & Biology. 29(2). 255–269. 36 indexed citations
20.
Martín‐Fernández, Marcos, et al.. (2002). Energy functions for the segmentation of ultrasound volume data using active rays. Acceda (Universidad de Las Palmas de Gran Canaria). 4. 2274–2277. 3 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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