Daniel Santana–Cedrés

615 total citations
17 papers, 408 citations indexed

About

Daniel Santana–Cedrés is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Santana–Cedrés has authored 17 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Santana–Cedrés's work include Optical measurement and interference techniques (6 papers), Image Processing Techniques and Applications (6 papers) and Advanced Vision and Imaging (4 papers). Daniel Santana–Cedrés is often cited by papers focused on Optical measurement and interference techniques (6 papers), Image Processing Techniques and Applications (6 papers) and Advanced Vision and Imaging (4 papers). Daniel Santana–Cedrés collaborates with scholars based in Spain, Brazil and France. Daniel Santana–Cedrés's co-authors include Miguel Alemán-Flores, Agustín Trujillo, Karl Krissian, Luis Álvarez, Luis Gómez, Luis Mazorra, Agustín Salgado, Pablo G. Tahoces, José M. Carreira and Alejandro C. Frery and has published in prestigious journals such as Pattern Recognition Letters, IEEE Sensors Journal and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Daniel Santana–Cedrés

17 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Santana–Cedrés Spain 10 255 127 54 41 37 17 408
Miguel Alemán-Flores Spain 11 314 1.2× 130 1.0× 52 1.0× 43 1.0× 36 1.0× 19 472
Xiangyi Sun China 11 260 1.0× 95 0.7× 102 1.9× 37 0.9× 75 2.0× 31 379
Shigang Wang China 10 201 0.8× 106 0.8× 90 1.7× 19 0.5× 11 0.3× 52 359
Yuanzheng Gong United States 10 182 0.7× 53 0.4× 42 0.8× 24 0.6× 69 1.9× 20 343
Per Bergström Sweden 9 160 0.6× 43 0.3× 81 1.5× 57 1.4× 41 1.1× 24 306
Wolfgang Rauh Germany 7 374 1.5× 66 0.5× 93 1.7× 57 1.4× 108 2.9× 10 489
Agustín Salgado Spain 10 200 0.8× 90 0.7× 34 0.6× 23 0.6× 15 0.4× 20 272
V. F. Leavers United Kingdom 6 370 1.5× 62 0.5× 89 1.6× 21 0.5× 58 1.6× 14 433
Guo-Qing Wei China 8 469 1.8× 156 1.2× 136 2.5× 23 0.6× 57 1.5× 17 558
Changtao He China 8 198 0.8× 220 1.7× 34 0.6× 24 0.6× 35 0.9× 25 438

Countries citing papers authored by Daniel Santana–Cedrés

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Santana–Cedrés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Santana–Cedrés. 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 Daniel Santana–Cedrés. The network helps show where Daniel Santana–Cedrés may publish in the future.

Co-authorship network of co-authors of Daniel Santana–Cedrés

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

All Works

17 of 17 papers shown
1.
2.
Trujillo, Agustín, et al.. (2023). Accurate subvoxel location and characterization of edges in 3D images based on the Partial Volume Effect. Journal of Visual Communication and Image Representation. 96. 103928–103928. 1 indexed citations
3.
Santana–Cedrés, Daniel, et al.. (2023). Exploring Deep Learning Capabilities for Coastal Image Segmentation on Edge Devices. Acceda (Universidad de Las Palmas de Gran Canaria). 409–418. 1 indexed citations
4.
Santana–Cedrés, Daniel, et al.. (2021). An Algorithm for 3D Curve Smoothing. Image Processing On Line. 11. 37–55. 1 indexed citations
5.
Tahoces, Pablo G., Daniel Santana–Cedrés, Luis Álvarez, et al.. (2020). Automatic detection of anatomical landmarks of the aorta in CTA images. Medical & Biological Engineering & Computing. 58(5). 903–919. 9 indexed citations
6.
Santana–Cedrés, Daniel, Luis Gómez, Luis Álvarez, & Alejandro C. Frery. (2019). Despeckling PolSAR Images With a Structure Tensor Filter. IEEE Geoscience and Remote Sensing Letters. 17(2). 357–361. 9 indexed citations
7.
Santana–Cedrés, Daniel, et al.. (2019). Supervised Classification of Fully PolSAR Images Using Active Contour Models. IEEE Geoscience and Remote Sensing Letters. 16(7). 1165–1169. 3 indexed citations
8.
Tahoces, Pablo G., Luis Álvarez, Agustín Trujillo, et al.. (2018). Automatic estimation of the aortic lumen geometry by ellipse tracking. International Journal of Computer Assisted Radiology and Surgery. 14(2). 345–355. 15 indexed citations
9.
Santana–Cedrés, Daniel, Luis Gómez, Miguel Alemán-Flores, et al.. (2017). Automatic correction of perspective and optical distortions. Computer Vision and Image Understanding. 161. 1–10. 25 indexed citations
10.
Santana–Cedrés, Daniel, Luis Gómez, Miguel Alemán-Flores, et al.. (2017). Estimation of the Lens Distortion Model by Minimizing a Line Reprojection Error. IEEE Sensors Journal. 17(9). 2848–2855. 12 indexed citations
11.
Santana–Cedrés, Daniel, Luis Gómez, Miguel Alemán-Flores, et al.. (2016). An Iterative Optimization Algorithm for Lens Distortion Correction Using Two-Parameter Models. Image Processing On Line. 6. 326–364. 41 indexed citations
12.
Vieira, Luiz Henrique Palucci, Fábio Milioni, Ricardo Augusto Barbieri, et al.. (2015). Tracking futsal players with a wide-angle lens camera: accuracy analysis of the radial distortion correction based on an improved Hough transform algorithm. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 5(3). 221–231. 16 indexed citations
13.
Santana–Cedrés, Daniel, et al.. (2015). Invertibility and Estimation of Two-Parameter Polynomial and Division Lens Distortion Models. SIAM Journal on Imaging Sciences. 8(3). 1574–1606. 18 indexed citations
14.
Alemán-Flores, Miguel, Luis Álvarez, Luis Gómez, & Daniel Santana–Cedrés. (2014). Automatic Lens Distortion Correction Using One-Parameter Division Models. Image Processing On Line. 4. 327–343. 50 indexed citations
15.
Alemán-Flores, Miguel, et al.. (2013). Line detection in images showing significant lens distortion and application to distortion correction. Pattern Recognition Letters. 36. 261–271. 18 indexed citations
16.
Trujillo, Agustín, Karl Krissian, Miguel Alemán-Flores, & Daniel Santana–Cedrés. (2012). Accurate subpixel edge location based on partial area effect. Image and Vision Computing. 31(1). 72–90. 186 indexed citations
17.
Krissian, Karl, et al.. (2012). AMILab Software: Medical Image Analysis, Processing and Visualization. Studies in health technology and informatics. 173. 233–7. 2 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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2026