Jorge Bacca

675 citations
55 papers · 420 indexed · h-index 11

Jorge Bacca

47 papers receiving 401 citations

Peers

Jorge Bacca
Comparison fields: 5 of 57
  • Acoustics and Ultrasonics 52
  • Media Technology 145
  • Computer Vision and Pattern Recognition 164
  • 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
Xiaowan Hu China
Kaixuan Wei China
Inchang Choi South Korea
Lejia Hu China
Zu-Han Gu United States
Guangmang Cui China
Jorge Bacca relative to Claudia V. Correa Colombia Claudia V. Correa's profile →
Citations per field
00.5×1.5×2.2×
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-authorship network

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
#Work
1 20240
2 20240
3 20242
4 20241
5 20241
6 20240
7 20239
8 202324
9 20230
10 20236
11 20233
12 20232
13 202331
14 20229
15 202110
16 202015
17 201928
18 20195
19 201826
20 201838

About Jorge Bacca

Jorge Bacca is a scholar working on Acoustics and Ultrasonics, Media Technology, Computational Mechanics, Horticulture and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 420 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), Random lasers and scattering media (8 papers), Remote-Sensing Image Classification (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 (52 citations), Media Technology (145 citations), Computer Vision and Pattern Recognition (164 citations), Computational Mechanics (121 citations) and Instrumentation (20 citations). Jorge Bacca has collaborated with scholars based in Colombia, United States and Spain. 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, Optics Express, IEEE Signal Processing Magazine and Signal Processing Image Communication.

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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