Jorge Bacca

693 citations
55 papers · 428 · h-index 11

Impact in

Papers in

Jorge Bacca

48 papers receiving 408 citations

Peers

Jorge Bacca
Comparison fields: 5 of 58
  • Acoustics and Ultrasonics 53
  • Media Technology 145
  • Computer Vision and Pattern Recognition 166
  • Computational Mechanics 121
  • Instrumentation 20
Replace Claudia V. Correa with:
Claudia V. Correa Colombia
Ronan Kerviche United States
Ruoyu Zhu United States
Hoover Rueda United States
Jiali Yao China
Kaixuan Wei China
Inchang Choi South Korea
Guangmang Cui China
Zu-Han Gu United States
Jorge Bacca relative to Claudia V. Correa Colombia Claudia V. Correa's profile →
Citations per field
00.5×1.5×2.1×
Claudia V. Correa · 1×
Citations per year

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-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.

Border = papers with Jorge Bacca Line = papers co-authored together Jorge Bacca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202171
2 201838
3 202333
4 201931
5 201928
6 201826
7 202325
8 202015
9 201915
10 201714
11 202110
12 202210
13 202310
14 20229
15 20198
16 20207
17 20176
18 20216
19 20236
20 20235

About Jorge Bacca

Jorge Bacca is a scholar working on Biomedical Engineering, Computational Mechanics, Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics, having authored 55 papers that have together received 428 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), Advanced Image Fusion Techniques (7 papers), Optical measurement and interference techniques (7 papers) and Microwave Imaging and Scattering Analysis (7 papers). The work is most often cited by research in Acoustics and Ultrasonics (53 citations), Media Technology (145 citations), Computer Vision and Pattern Recognition (166 citations), Computational Mechanics (121 citations) and Instrumentation (20 citations). Jorge Bacca has collaborated with scholars based in Colombia, United States and Sweden. Frequent co-authors include Henry Argüello, Samuel Pinilla, Carlos Hinojosa, Emmanuel Martínez, Hayato Ikoma, Gordon Wetzstein, Claudia V. Correa, Yifan Peng, Sergio Castillo and Andrés G. Marrugo. Their work appears in journals such as Applied Optics, IEEE Journal of Selected Topics in Signal Processing, Optica, IEEE Transactions on Computational Imaging and Journal of the Optical Society of America A.

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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