Miguel Vega

1.1k total citations
55 papers, 808 citations indexed

About

Miguel Vega is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Miguel Vega has authored 55 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 29 papers in Media Technology and 14 papers in Computational Mechanics. Recurrent topics in Miguel Vega's work include Advanced Image Processing Techniques (33 papers), Image and Signal Denoising Methods (30 papers) and Advanced Image Fusion Techniques (16 papers). Miguel Vega is often cited by papers focused on Advanced Image Processing Techniques (33 papers), Image and Signal Denoising Methods (30 papers) and Advanced Image Fusion Techniques (16 papers). Miguel Vega collaborates with scholars based in Spain, United States and Mexico. Miguel Vega's co-authors include Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, S. Derin Babacan, H.G. Sarmiento, Valery Naranjo, Esteban Vera, Xu Zhou, Fugen Zhou and José Aneiros‐Fernández and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and IEEE Transactions on Industry Applications.

In The Last Decade

Miguel Vega

54 papers receiving 773 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miguel Vega Spain 14 572 477 107 72 57 55 808
Anjing Guo China 8 476 0.8× 629 1.3× 74 0.7× 36 0.5× 78 1.4× 10 789
Miguel A. Veganzones France 12 696 1.2× 1.0k 2.1× 168 1.6× 93 1.3× 66 1.2× 27 1.3k
Nelson D. A. Mascarenhas Brazil 15 476 0.8× 319 0.7× 101 0.9× 55 0.8× 99 1.7× 95 762
Weiying Xie China 12 476 0.8× 562 1.2× 171 1.6× 26 0.4× 61 1.1× 25 827
Benoît Vozel France 16 1.3k 2.2× 858 1.8× 59 0.6× 45 0.6× 35 0.6× 88 1.5k
Lidan Miao United States 8 173 0.3× 759 1.6× 94 0.9× 94 1.3× 56 1.0× 14 925
Raúl Guerra Spain 16 229 0.4× 335 0.7× 94 0.9× 22 0.3× 79 1.4× 43 644
Gabriel Martín Spain 15 256 0.4× 618 1.3× 87 0.8× 203 2.8× 114 2.0× 57 909
Pedro Garcı́a-Sevilla Spain 8 409 0.7× 555 1.2× 110 1.0× 45 0.6× 114 2.0× 22 922
Jiahui Qu China 24 519 0.9× 1.1k 2.4× 156 1.5× 32 0.4× 102 1.8× 80 1.4k

Countries citing papers authored by Miguel Vega

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Vega

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Vega. A scholar is included among the top collaborators of Miguel Vega 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 Miguel Vega. Miguel Vega 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.
2.
Vega, Miguel, et al.. (2021). Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference. Computer Methods and Programs in Biomedicine. 211. 106453–106453. 25 indexed citations
3.
Vega, Miguel, et al.. (2020). Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors. Sensors. 20(18). 5308–5308. 2 indexed citations
4.
Vega, Miguel, et al.. (2020). A TV-based image processing framework for blind color deconvolution and classification of histological images. Digital Signal Processing. 101. 102727–102727. 16 indexed citations
5.
Vega, Miguel, et al.. (2020). Super Gaussian Priors for Blind Color Deconvolution of Histological Images. 114. 3010–3014. 3 indexed citations
6.
Zhou, Xu, Miguel Vega, Fugen Zhou, Rafael Molina, & Aggelos K. Katsaggelos. (2016). Fast Bayesian blind deconvolution with Huber Super Gaussian priors. Digital Signal Processing. 60. 122–133. 20 indexed citations
7.
Rubio, Jorge, Miguel Vega, Rafael Molina, & Aggelos K. Katsaggelos. (2013). A general sparse image prior combination in Compressed Sensing. European Signal Processing Conference. 1–5. 2 indexed citations
8.
Vera, Esteban, Miguel Vega, Rafael Molina, & Aggelos K. Katsaggelos. (2013). Iterative image restoration using nonstationary priors. Applied Optics. 52(10). D102–D102. 9 indexed citations
9.
Vera, Esteban, Miguel Vega, Rafael Molina, & Aggelos K. Katsaggelos. (2011). A novel iterative image restoration algorithm using nonstationary image priors. 3457–3460. 6 indexed citations
10.
Vega, Miguel, et al.. (2010). Image prior combination in super-resolution image registration & reconstruction. 355–360. 6 indexed citations
11.
Vega, Miguel, et al.. (2010). Image prior combination in super-resolution image reconstruction. 616–620. 1 indexed citations
12.
13.
Vega, Miguel, Javier Mateos, Rafael Molina, & Aggelos K. Katsaggelos. (2008). Super-Resolution of Multispectral Images. The Computer Journal. 52(1). 153–167. 17 indexed citations
14.
Vega, Miguel & H.G. Sarmiento. (2008). Algorithm to Evaluate Substation Reliability With Cut and Path Sets. IEEE Transactions on Industry Applications. 44(6). 1851–1858. 20 indexed citations
15.
Molina, Rafael, Miguel Vega, Javier Mateos, & Aggelos K. Katsaggelos. (2006). Hierarchical Bayesian super resolution reconstruction of multispectral images. European Signal Processing Conference. 1–5. 4 indexed citations
16.
Vega, Miguel, Rafael Molina, & Aggelos K. Katsaggelos. (2006). A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images. EURASIP Journal on Advances in Signal Processing. 2006(1). 10 indexed citations
17.
Vega, Miguel, et al.. (2003). Parameter estimation in super-resolution image reconstruction problems. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 3. III–709. 4 indexed citations
18.
Molina, Rafael, et al.. (2003). Parameter estimation in bayesian high-resolution image reconstruction with multisensors. IEEE Transactions on Image Processing. 12(12). 1655–1667. 52 indexed citations
19.
Molina, Rafael, Javier Mateos, Aggelos K. Katsaggelos, & Miguel Vega. (2003). Bayesian multichannel image restoration using compound gauss-markov random fields. IEEE Transactions on Image Processing. 12(12). 1642–1654. 43 indexed citations
20.
Vega, Miguel & H.G. Sarmiento. (1996). Image processing application maps optimal transmission routes. IEEE Computer Applications in Power. 9(2). 47–51. 10 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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Breakdown of academic impact, for papers by Anjing Guo Breakdown of academic impact, for papers by Miguel A. Veganzones Breakdown of academic impact, for papers by Nelson D. A. Mascarenhas Breakdown of academic impact, for papers by Weiying Xie Breakdown of academic impact, for papers by Benoît Vozel Breakdown of academic impact, for papers by Lidan Miao Breakdown of academic impact, for papers by Raúl Guerra Breakdown of academic impact, for papers by Gabriel Martín Breakdown of academic impact, for papers by Pedro Garcı́a-Sevilla Breakdown of academic impact, for papers by Jiahui Qu
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