Claudia V. Correa

561 total citations
25 papers, 382 citations indexed

About

Claudia V. Correa is a scholar working on Computational Mechanics, Biomedical Engineering and Acoustics and Ultrasonics. According to data from OpenAlex, Claudia V. Correa has authored 25 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 16 papers in Biomedical Engineering and 8 papers in Acoustics and Ultrasonics. Recurrent topics in Claudia V. Correa's work include Sparse and Compressive Sensing Techniques (19 papers), Photoacoustic and Ultrasonic Imaging (15 papers) and Random lasers and scattering media (8 papers). Claudia V. Correa is often cited by papers focused on Sparse and Compressive Sensing Techniques (19 papers), Photoacoustic and Ultrasonic Imaging (15 papers) and Random lasers and scattering media (8 papers). Claudia V. Correa collaborates with scholars based in Colombia, United States and Saudi Arabia. Claudia V. Correa's co-authors include Henry Argüello, Gonzalo R. Arce, Jorge Bacca, Carlos Hinojosa, Brendt Wohlberg, Sergio Castillo, Yu Sun, Juan C. Castillo, Samuel Pinilla and Ulugbek S. Kamilov and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and International Journal of Remote Sensing.

In The Last Decade

Claudia V. Correa

22 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Claudia V. Correa Colombia	10	208	194	112	88	81	25	382
Jorge Bacca Colombia	11	121 0.6×	169 0.9×	164 1.5×	145 1.6×	52 0.6×	55	420
Ronan Kerviche United States	4	371 1.8×	235 1.2×	250 2.2×	47 0.5×	42 0.5×	8	507
Ruoyu Zhu United States	8	109 0.5×	143 0.7×	80 0.7×	26 0.3×	38 0.5×	18	268
Hoover Rueda United States	9	232 1.1×	271 1.4×	135 1.2×	96 1.1×	70 0.9×	27	409
Inchang Choi South Korea	8	122 0.6×	101 0.5×	448 4.0×	187 2.1×	17 0.2×	11	538
Huang Jian China	12	33 0.2×	105 0.5×	110 1.0×	150 1.7×	309 3.8×	46	451
Xiaowan Hu China	7	90 0.4×	120 0.6×	242 2.2×	207 2.4×	6 0.1×	12	433
Jiemin Hu China	10	45 0.2×	96 0.5×	74 0.7×	44 0.5×	67 0.8×	46	328
H. Emre Güven Türkiye	10	127 0.6×	189 1.0×	43 0.4×	15 0.2×	7 0.1×	31	302
Julián Tachella France	9	30 0.1×	94 0.5×	107 1.0×	31 0.4×	40 0.5×	25	475

Countries citing papers authored by Claudia V. Correa

Since Specialization

Citations

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

Fields of papers citing papers by Claudia V. Correa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudia V. Correa. 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 Claudia V. Correa. The network helps show where Claudia V. Correa may publish in the future.

Co-authorship network of co-authors of Claudia V. Correa

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

All Works

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20 of 20 papers shown

Correa, Claudia V., et al.. (2024). GAN Supervised Seismic Data Reconstruction: An Enhanced Learning for Improved Generalization. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–10. 9 indexed citations

Correa, Claudia V., et al.. (2024). BiPer: Binary Neural Networks Using a Periodic Function. 5684–5693. 4 indexed citations

Correa, Claudia V., et al.. (2023). Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–12. 9 indexed citations

Bacca, Jorge, et al.. (2023). Automated chronic wounds medical assessment and tracking framework based on deep learning. Computers in Biology and Medicine. 165. 107335–107335. 9 indexed citations

Correa, Claudia V., et al.. (2021). A Consensus Equilibrium Approach for 3-D Land Seismic Shots Recovery. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 8 indexed citations

Correa, Claudia V., et al.. (2021). High-resolution coded aperture optimization for super-resolved compressive x-ray cone-beam computed tomography. Applied Optics. 60(4). 959–959. 2 indexed citations

Correa, Claudia V., et al.. (2020). Optimized Sensing Matrix for Single Pixel Multi-Resolution Compressive Spectral Imaging. IEEE Transactions on Image Processing. 29. 4243–4253. 11 indexed citations

Correa, Claudia V., et al.. (2019). An analysis of spectral variability in hyperspectral imagery: a case study of stressed oil palm detection in Colombia. International Journal of Remote Sensing. 40(19). 7603–7623. 11 indexed citations

Bacca, Jorge, Claudia V. Correa, & Henry Argüello. (2019). Noniterative Hyperspectral Image Reconstruction From Compressive Fused Measurements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(4). 1231–1239. 28 indexed citations

10.

Pinilla, Samuel, et al.. (2019). Salient Motion Detection for Spectral Video on the Compressive Domain. 52. 106–110.

11.

Bacca, Jorge, Claudia V. Correa, & Henry Argüello. (2019). A Non-iterative Reconstruction Algorithm for Single Pixel Spectral Imaging with Side Information. 1–5.

12.

Correa, Claudia V., et al.. (2018). Multi-Resolution Coded Apertures Based on Side Information for Single Pixel Spectral Reconstruction. 2215–2219. 3 indexed citations

13.

Correa, Claudia V., et al.. (2018). Multi-Resolution Compressive Spectral Imaging Reconstruction From Single Pixel Measurements. IEEE Transactions on Image Processing. 27(12). 6174–6184. 24 indexed citations

14.

Correa, Claudia V., et al.. (2016). Sparse representations of dynamic scenes for compressive spectral video sensing. DYNA. 83(195). 42–51. 10 indexed citations

15.

Correa, Claudia V., Henry Argüello, & Gonzalo R. Arce. (2016). Spatiotemporal blue noise coded aperture design for multi-shot compressive spectral imaging. Journal of the Optical Society of America A. 33(12). 2312–2312. 64 indexed citations

16.

Correa, Claudia V., et al.. (2016). Algorithm for underwater swimmer tracking using the HSV color model and compressive sensing. 1–5. 1 indexed citations

17.

Correa, Claudia V., Carlos Hinojosa, Gonzalo R. Arce, & Henry Argüello. (2016). Multiple snapshot colored compressive spectral imager. Optical Engineering. 56(4). 41309–41309. 25 indexed citations

18.

Correa, Claudia V., Henry Argüello, & Gonzalo R. Arce. (2015). Spatio-spectral uniform multi-frame coded apertures for compressive spectral imaging. 6498. 614–618.

19.

Correa, Claudia V., Henry Argüello, & Gonzalo R. Arce. (2014). Compressive spectral imaging with colored-patterned detectors. 7789–7793. 15 indexed citations

20.

Argüello, Henry, Claudia V. Correa, & Gonzalo R. Arce. (2013). Fast lapped block reconstructions in compressive spectral imaging. Applied Optics. 52(10). D32–D32. 44 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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