Adilson Gonzaga
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Artificial Intelligence
- Media Technology top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Ronaldo Martins da CostaMarcelo A. C. VieiraIvan Nunes da SilvaZoran ObradovićMarcelo Garcia ManzatoNestor de BarrosRodrigo Fernandes de MelloLucas R. Borges
- Topics
- Image Retrieval and Classification Techniques (16 papers)Advanced Image and Video Retrieval Techniques (9 papers)Biometric Identification and Security (8 papers)
In The Last Decade
Adilson Gonzaga
47 papers receiving 260 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 164
- Signal Processing 50
- Artificial Intelligence 48
- Media Technology 35
- Radiology, Nuclear Medicine and Imaging 33
Countries citing papers authored by Adilson Gonzaga
This map shows the geographic impact of Adilson Gonzaga'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 Adilson Gonzaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adilson Gonzaga more than expected).
Fields of papers citing papers by Adilson Gonzaga
This network shows the impact of papers produced by Adilson Gonzaga. 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 Adilson Gonzaga. The network helps show where Adilson Gonzaga may publish in the future.
Co-authorship network of co-authors of Adilson Gonzaga
This figure shows the co-authorship network connecting the top 25 collaborators of Adilson Gonzaga. A scholar is included among the top collaborators of Adilson Gonzaga 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 Adilson Gonzaga. Adilson Gonzaga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | 13 | |
| 9 | Tesseract OCR: a case study for license plate recognition in Brazil | 2 |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 31 | |
| 13 | 6 | |
| 14 | Model for Resources Load Evaluation in Clusters by Using a Peer-to-Peer Protocol | 1 |
| 15 | 2 | |
| 16 | 42 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | Assessment of leg ulcer color images through digital image processing | 1 |
| 20 | 1 |
About Adilson Gonzaga
Adilson Gonzaga is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 48 papers that have together received 286 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (16 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Biometric Identification and Security (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (164 citations), Occupational Therapy (32 citations) and Signal Processing (50 citations). Adilson Gonzaga has collaborated with scholars based in Brazil, Italy and Peru. Frequent co-authors include Ronaldo Martins da Costa, Marcelo A. C. Vieira, Ivan Nunes da Silva, Zoran Obradović, Marcelo Garcia Manzato, Nestor de Barros, Rodrigo Fernandes de Mello, Lucas R. Borges, A.F. Frere and José Alfredo Ferreira Costa. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Biomedical Signal Processing and Control.
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.