Mariano Rivera

1.9k total citations
76 papers, 991 citations indexed

About

Mariano Rivera is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mariano Rivera has authored 76 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 19 papers in Media Technology and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mariano Rivera's work include Optical measurement and interference techniques (28 papers), Medical Image Segmentation Techniques (19 papers) and Image Processing Techniques and Applications (17 papers). Mariano Rivera is often cited by papers focused on Optical measurement and interference techniques (28 papers), Medical Image Segmentation Techniques (19 papers) and Image Processing Techniques and Applications (17 papers). Mariano Rivera collaborates with scholars based in Mexico, United States and Spain. Mariano Rivera's co-authors include José L. Marroquín, Alonso Ramírez-Manzanares, Oscar Dalmau, Ricardo Legarda-Sáenz, V. H. Flores-Muñoz, Gerardo Mendizabal‐Ruiz, Ioannis A. Kakadiaris, Ramón Rodrı́guez-Vera, Thomas H. Mareci and Baba C. Vemuri and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Optics Letters.

In The Last Decade

Mariano Rivera

73 papers receiving 945 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mariano Rivera Mexico 19 689 269 206 127 126 76 991
Subrahmanyam Gorthi India 9 378 0.5× 146 0.5× 73 0.4× 123 1.0× 118 0.9× 35 679
Rama Krishna Gorthi India 13 695 1.0× 239 0.9× 53 0.3× 75 0.6× 77 0.6× 56 941
Ali M. Reza United States 5 744 1.1× 271 1.0× 248 1.2× 25 0.2× 36 0.3× 9 1.2k
Haishu Tan China 16 492 0.7× 496 1.8× 87 0.4× 28 0.2× 169 1.3× 76 955
P. Bunel France 5 323 0.5× 147 0.5× 53 0.3× 80 0.6× 14 0.1× 8 654
Tomislav Petković Croatia 17 276 0.4× 32 0.1× 73 0.4× 69 0.5× 173 1.4× 67 826
Andriyan Bayu Suksmono Indonesia 14 308 0.4× 122 0.5× 170 0.8× 20 0.2× 44 0.3× 162 1.1k
F. Salzenstein France 15 228 0.3× 71 0.3× 75 0.4× 64 0.5× 19 0.2× 29 591
Adrian A. Dorrington New Zealand 17 479 0.7× 101 0.4× 98 0.5× 27 0.2× 156 1.2× 76 1.1k
Kan Ren China 17 404 0.6× 265 1.0× 55 0.3× 30 0.2× 26 0.2× 95 890

Countries citing papers authored by Mariano Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Mariano Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariano Rivera

This figure shows the co-authorship network connecting the top 25 collaborators of Mariano Rivera. A scholar is included among the top collaborators of Mariano Rivera 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 Mariano Rivera. Mariano Rivera 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.
Concha, Luis, et al.. (2024). Light-weight neural network for intra-voxel structure analysis. Frontiers in Neuroinformatics. 18. 1277050–1277050.
2.
Rivera, Mariano. (2024). How to Train Your VAE. 3882–3888. 2 indexed citations
3.
Rivera, Mariano, et al.. (2023). A Deep Learning Model Based on Capsule Networks for COVID Diagnostics through X-ray Images. Diagnostics. 13(17). 2858–2858. 4 indexed citations
4.
Rivera, Mariano, et al.. (2023). Hadamard Layer to Improve Semantic Segmentation. 2. 1–5.
5.
6.
Rivera, Mariano, et al.. (2017). Robust multiband image segmentation method based on user clues. 16. 1–6. 6 indexed citations
7.
Aranda, Ramón, Alonso Ramírez-Manzanares, & Mariano Rivera. (2015). Sparse and Adaptive Diffusion Dictionary (SADD) for recovering intra-voxel white matter structure. Medical Image Analysis. 26(1). 243–255. 14 indexed citations
8.
Aranda, Ramón, Mariano Rivera, & Alonso Ramírez-Manzanares. (2014). A flocking based method for brain tractography. Medical Image Analysis. 18(3). 515–530. 11 indexed citations
9.
Mendizabal‐Ruiz, Gerardo, Mariano Rivera, & Ioannis A. Kakadiaris. (2013). Segmentation of the luminal border in intravascular ultrasound B-mode images using a probabilistic approach. Medical Image Analysis. 17(6). 649–670. 47 indexed citations
10.
Rivera, Mariano & Oscar Dalmau. (2011). Variational Viewpoint of the Quadratic Markov Measure Field Models: Theory and Algorithms. IEEE Transactions on Image Processing. 21(3). 1246–1257. 10 indexed citations
11.
Dalmau, Oscar & Mariano Rivera. (2010). Alpha Markov Measure Field model for probabilistic image segmentation. Theoretical Computer Science. 412(15). 1434–1441. 1 indexed citations
12.
Dalmau, Oscar, Mariano Rivera, & Ricardo Legarda-Sáenz. (2008). Fast phase recovery from a single closed-fringe pattern. Journal of the Optical Society of America A. 25(6). 1361–1361. 30 indexed citations
13.
Marroquín, José L., et al.. (2008). Bayesian segmentation of range images of polyhedral objects using entropy-controlled quadratic Markov measure field models. Applied Optics. 47(22). 4106–4106. 1 indexed citations
14.
Ramírez-Manzanares, Alonso, Mariano Rivera, Baba C. Vemuri, Paul R. Carney, & Thomas H. Mareci. (2007). Diffusion Basis Functions Decomposition for Estimating White Matter Intravoxel Fiber Geometry. IEEE Transactions on Medical Imaging. 26(8). 1091–1102. 78 indexed citations
15.
Rivera, Mariano, Omar Ocegueda, & José L. Marroquín. (2007). Entropy-Controlled Quadratic Markov Measure Field Models for Efficient Image Segmentation. IEEE Transactions on Image Processing. 16(12). 3047–3057. 42 indexed citations
16.
Legarda-Sáenz, Ricardo & Mariano Rivera. (2006). Fast half-quadratic regularized phase tracking for nonnormalized fringe patterns. Journal of the Optical Society of America A. 23(11). 2724–2724. 18 indexed citations
17.
Guerrero, J. A., José L. Marroquín, Mariano Rivera, & Juan Antonio Quiroga. (2005). Adaptive monogenic filtering and normalization of ESPI fringe patterns. Optics Letters. 30(22). 3018–3018. 45 indexed citations
18.
Rivera, Mariano. (2005). Robust phase demodulation of interferograms with open or closed fringes. Journal of the Optical Society of America A. 22(6). 1170–1170. 31 indexed citations
19.
Marroquín, José L., Mariano Rivera, Salvador Botello, Ramón Rodrı́guez-Vera, & Manuel Servı́n. (1999). Regularization methods for processing fringe-pattern images. Applied Optics. 38(5). 788–788. 23 indexed citations
20.
Botello, Salvador, et al.. (1998). <title>Adaptive quantization and filtering using Gauss-Markov measure field models</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3459. 238–249. 4 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

Breakdown of academic impact, for papers by Subrahmanyam Gorthi Breakdown of academic impact, for papers by Rama Krishna Gorthi Breakdown of academic impact, for papers by Ali M. Reza Breakdown of academic impact, for papers by Haishu Tan Breakdown of academic impact, for papers by P. Bunel Breakdown of academic impact, for papers by Tomislav Petković Breakdown of academic impact, for papers by Andriyan Bayu Suksmono Breakdown of academic impact, for papers by F. Salzenstein Breakdown of academic impact, for papers by Adrian A. Dorrington Breakdown of academic impact, for papers by Kan Ren
Rankless by CCL
2026