Jorge Bacca

675 total citations
55 papers, 420 citations indexed

About

Jorge Bacca is a scholar working on Biomedical Engineering, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jorge Bacca has authored 55 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomedical Engineering, 22 papers in Computational Mechanics and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jorge Bacca's work include Sparse and Compressive Sensing Techniques (22 papers), Photoacoustic and Ultrasonic Imaging (17 papers) and Image and Signal Denoising Methods (10 papers). Jorge Bacca is often cited by papers focused on Sparse and Compressive Sensing Techniques (22 papers), Photoacoustic and Ultrasonic Imaging (17 papers) and Image and Signal Denoising Methods (10 papers). Jorge Bacca collaborates with scholars based in Colombia, United States and France. Jorge Bacca's co-authors include Henry Argüello, Samuel Pinilla, Carlos Hinojosa, Claudia V. Correa, Gordon Wetzstein, Hayato Ikoma, Yifan Peng, Emmanuel Martínez, Sergio Castillo and Jesús Pineda and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Jorge Bacca

47 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Bacca Colombia 11 169 164 145 121 67 55 420
Claudia V. Correa Colombia 10 194 1.1× 112 0.7× 88 0.6× 208 1.7× 27 0.4× 25 382
Ruoyu Zhu United States 8 143 0.8× 80 0.5× 26 0.2× 109 0.9× 43 0.6× 18 268
Hoover Rueda United States 9 271 1.6× 135 0.8× 96 0.7× 232 1.9× 46 0.7× 27 409
Ronan Kerviche United States 4 235 1.4× 250 1.5× 47 0.3× 371 3.1× 26 0.4× 8 507
Xiaowan Hu China 7 120 0.7× 242 1.5× 207 1.4× 90 0.7× 10 0.1× 12 433
Zu-Han Gu United States 9 69 0.4× 125 0.8× 51 0.4× 109 0.9× 50 0.7× 46 274
Kee Yuan China 13 121 0.7× 121 0.7× 152 1.0× 52 0.4× 111 1.7× 32 448
Huang Jian China 12 105 0.6× 110 0.7× 150 1.0× 33 0.3× 99 1.5× 46 451
Kaixuan Wei China 9 50 0.3× 419 2.6× 274 1.9× 44 0.4× 9 0.1× 14 548
Bert Geelen Belgium 11 161 1.0× 174 1.1× 171 1.2× 43 0.4× 65 1.0× 32 462

Countries citing papers authored by Jorge Bacca

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Bacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Bacca

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Bacca. A scholar is included among the top collaborators of Jorge Bacca 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 Jorge Bacca. Jorge Bacca 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.
Bacca, Jorge, et al.. (2024). Middle-output deep image prior for blind hyperspectral and multispectral image fusion. Signal Processing Image Communication. 132. 117247–117247. 2 indexed citations
2.
Bacca, Jorge, et al.. (2024). Deep Unrolled Single Snapshot Phase Retrieval via Non-Convex Formulation and Phase Mask Design. IEEE Journal of Selected Topics in Signal Processing. 18(4). 694–703.
3.
4.
Argüello, Henry, et al.. (2024). Deep Learned Non-Linear Propagation Model Regularizer for Compressive Spectral Imaging. IEEE Transactions on Computational Imaging. 10. 1016–1025.
5.
Bacca, Jorge, et al.. (2024). Designed Dithering Sign Activation for Binary Neural Networks. IEEE Journal of Selected Topics in Signal Processing. 18(6). 1100–1107. 1 indexed citations
6.
Bacca, Jorge, et al.. (2024). Deep jointly optical spectral band selection and classification learning. Applied Optics. 63(21). 5505–5505. 1 indexed citations
7.
Tapía, Jorge, et al.. (2023). Deep optics preconditioner for modulation-free pyramid wavefront sensing. Photonics Research. 12(2). 301–301. 3 indexed citations
8.
Bacca, Jorge, et al.. (2023). Calibration reinforcement regularizations for optimized snapshot spectral imaging. Applied Optics. 62(8). C135–C135. 2 indexed citations
9.
Bacca, Jorge, Emmanuel Martínez, & Henry Argüello. (2023). Computational spectral imaging: a contemporary overview. Journal of the Optical Society of America A. 40(4). C115–C115. 31 indexed citations
10.
Argüello, Henry, Jorge Bacca, Balpreet Singh Ahluwalia, et al.. (2023). Deep Optical Coding Design in Computational Imaging: A data-driven framework. IEEE Signal Processing Magazine. 40(2). 75–88. 24 indexed citations
11.
Ramírez, José G., Henry Argüello, & Jorge Bacca. (2023). Phase unwrapping for phase imaging using the plug-and-play proximal algorithm. Applied Optics. 63(2). 535–535.
12.
Bacca, Jorge, et al.. (2022). D$^\text{2}$UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion. IEEE Journal of Selected Topics in Signal Processing. 17(2). 502–512. 9 indexed citations
13.
Bacca, Jorge, et al.. (2021). Classification of Cocoa Beans Based on their Level of Fermentation using Spectral Information. SHILAP Revista de lepidopterología. 24(50). e1654–e1654. 10 indexed citations
14.
Pineda, Jesús, et al.. (2020). SPUD: simultaneous phase unwrapping and denoising algorithm for phase imaging. Applied Optics. 59(13). D81–D81. 15 indexed citations
15.
Bacca, Jorge, Samuel Pinilla, & Henry Argüello. (2019). Super-Resolution Phase Retrieval From Designed Coded Diffraction Patterns. IEEE Transactions on Image Processing. 29. 2598–2609. 15 indexed citations
16.
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
17.
Bacca, Jorge, et al.. (2019). Coupled deep learning coded aperture design for compressive image classification. Optics Express. 28(6). 8528–8528. 31 indexed citations
18.
Bacca, Jorge & Henry Argüello. (2019). Sparse Subspace Clustering in Hyperspectral Images using Incomplete Pixels. SHILAP Revista de lepidopterología. 22(46). 1–14. 5 indexed citations
19.
Hinojosa, Carlos, Jorge Bacca, & Henry Argüello. (2018). Coded Aperture Design for Compressive Spectral Subspace Clustering. IEEE Journal of Selected Topics in Signal Processing. 12(6). 1589–1600. 38 indexed citations
20.
Pinilla, Samuel, Jorge Bacca, & Henry Argüello. (2018). Phase Retrieval Algorithm via Nonconvex Minimization Using a Smoothing Function. IEEE Transactions on Signal Processing. 66(17). 4574–4584. 26 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