Júnior Barrera
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- Image Retrieval and Classification Techniques 13
- Medical Image Segmentation Techniques 13
- Digital Image Processing Techniques 10
- Image and Signal Denoising Methods 10
- Biophysics top 5%
- Artificial Intelligence top 5%
- Neural Networks and Applications 10
- Media Technology top 5%
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- Gene expression and cancer classification 19
- Bioinformatics and Genomic Networks 14
- Gene Regulatory Network Analysis 10
- Co-authors
- Gerald Jean Francis BanonEdward R. DoughertyRoberto HirataSeungchan KimR. J. ArcherRonaldo F. HashimotoRoberto M. CésarMichael Bittner
- Journals
- Journal of Mathematical Imaging and Vision (7 papers)Pattern Recognition (4 papers)Signal Processing (3 papers)
- Partner nations
- BrazilUnited StatesBelgium
In The Last Decade
Júnior Barrera
98 papers receiving 928 citations
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 315
- Biophysics 74
- Artificial Intelligence 280
- Media Technology 58
- Computational Theory and Mathematics 105
Countries citing papers authored by Júnior Barrera
This map shows the geographic impact of Júnior Barrera'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 Júnior Barrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Júnior Barrera more than expected).
Fields of papers citing papers by Júnior Barrera
This network shows the impact of papers produced by Júnior Barrera. 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 Júnior Barrera. The network helps show where Júnior Barrera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Júnior Barrera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2018 | 8 | |
| 4 | 2018 | 3 | |
| 5 | 2017 | 2 | |
| 6 | A New Approach for Identification of Cancer-related Pathways using Protein Networks and Genomic Data | 2016 | 0 |
| 7 | 2014 | 33 | |
| 8 | 2013 | 3 | |
| 9 | 2009 | 13 | |
| 10 | An entropy minimization approach for designing W-operators. | 2007 | 1 |
| 11 | Basis Computation Algorithms. | 2007 | 3 |
| 12 | Automatic microarray gridding by mathematical morphology. | 2007 | 0 |
| 13 | 2007 | 15 | |
| 14 | 2007 | 2 | |
| 15 | 2003 | 11 | |
| 16 | 2001 | 1 | |
| 17 | 2000 | 3 | |
| 18 | 2000 | 15 | |
| 19 | 2000 | 2 | |
| 20 | Nonlinear filters in genomic control. | 1999 | 8 |
About Júnior Barrera
Júnior Barrera is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Signal Processing and Biophysics, having authored 105 papers that have together received 989 indexed citations. Recurring topics across this work include Gene expression and cancer classification (19 papers), Bioinformatics and Genomic Networks (14 papers), Image Retrieval and Classification Techniques (13 papers), Medical Image Segmentation Techniques (13 papers), Digital Image Processing Techniques (10 papers), Image and Signal Denoising Methods (10 papers), Neural Networks and Applications (10 papers) and Gene Regulatory Network Analysis (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (315 citations), Biophysics (74 citations), Artificial Intelligence (280 citations), Media Technology (58 citations) and Computational Theory and Mathematics (105 citations). Júnior Barrera has collaborated with scholars based in Brazil, United States and Belgium. Frequent co-authors include Gerald Jean Francis Banon, Edward R. Dougherty, Roberto Hirata, Seungchan Kim, R. J. Archer, Ronaldo F. Hashimoto, Roberto M. César, Michael Bittner, Jeffrey M. Trent and Marcel Brun. Their work appears in journals such as Journal of Mathematical Imaging and Vision, Pattern Recognition, Signal Processing, Information Sciences and Pattern Recognition Letters.
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.