Jorge Bacca
Impact in
- Acoustics and Ultrasonics top 5%
- Random lasers and scattering media
- Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Papers in
-
- Photoacoustic and Ultrasonic Imaging 17
- Microwave Imaging and Scattering Analysis 7
-
- Sparse and Compressive Sensing Techniques 22
- Co-authors
- Henry Argüello (53 shared papers)Samuel Pinilla (5 shared papers)Carlos Hinojosa (4 shared papers)Claudia V. Correa (4 shared papers)Emmanuel Martínez (2 shared papers)Hayato Ikoma (1 shared paper)Gordon Wetzstein (1 shared paper)Yifan Peng (1 shared paper)
- Journals
- IEEE Journal of Selected Topics in Signal Processing (4 papers)Applied Optics (4 papers)IEEE Signal Processing Magazine (1 paper)Signal Processing (1 paper)Scientific Data (1 paper)
- Partner nations
- ColombiaUnited StatesSweden
In The Last Decade
Jorge Bacca
50 papers receiving 422 citations
Peers
Comparison fields: 5 of 59
- Acoustics and Ultrasonics 54
- Media Technology 152
- Computer Vision and Pattern Recognition 173
- Instrumentation 25
- Computational Mechanics 124
Countries citing papers authored by Jorge Bacca
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
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-authors
The 25 scholars most cited alongside Jorge Bacca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 71 | |
| 2 | 2018 | 39 | |
| 3 | 2023 | 34 | |
| 4 | 2019 | 32 | |
| 5 | 2019 | 30 | |
| 6 | 2018 | 26 | |
| 7 | 2023 | 25 | |
| 8 | 2020 | 17 | |
| 9 | 2019 | 15 | |
| 10 | 2017 | 14 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2019 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2020 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2023 | 5 |
About Jorge Bacca
Jorge Bacca is a scholar working on Biomedical Engineering, Computational Mechanics, Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering, having authored 57 papers that have together received 442 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (22 papers), Photoacoustic and Ultrasonic Imaging (17 papers), Image and Signal Denoising Methods (10 papers), Remote-Sensing Image Classification (8 papers), Random lasers and scattering media (8 papers), Optical measurement and interference techniques (7 papers), Microwave Imaging and Scattering Analysis (7 papers) and Advanced Image Fusion Techniques (7 papers). The work is most often cited by research in Acoustics and Ultrasonics (54 citations), Media Technology (152 citations), Computer Vision and Pattern Recognition (173 citations), Instrumentation (25 citations) and Computational Mechanics (124 citations). Jorge Bacca has collaborated with scholars based in Colombia, United States and Sweden. Frequent co-authors include Henry Argüello, Samuel Pinilla, Carlos Hinojosa, Claudia V. Correa, Emmanuel Martínez, Hayato Ikoma, Gordon Wetzstein, Yifan Peng, Sergio Castillo and Jesús Pineda. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, Applied Optics, IEEE Signal Processing Magazine, Signal Processing and Scientific Data.
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.