Rodrigo Minetto
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 1%
- Automotive Engineering top 5%
- Artificial Intelligence top 10%
- Global and Planetary Change
- Co-authors
- Bogdan Tomoyuki NassuLeyza Baldo DoriniNeucimar J. LeiteDiogo LuvizonSudeep SarkarMaurício Pamplona SegundoJorge StolfiN.J. Leite
- Topics
- Vehicle License Plate Recognition (7 papers)Handwritten Text Recognition Techniques (7 papers)Advanced Image and Video Retrieval Techniques (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- BrazilUnited StatesFrance
In The Last Decade
Rodrigo Minetto
39 papers receiving 919 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 618
- Media Technology 301
- Automotive Engineering 151
- Artificial Intelligence 138
- Global and Planetary Change 92
Countries citing papers authored by Rodrigo Minetto
This map shows the geographic impact of Rodrigo Minetto'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 Rodrigo Minetto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rodrigo Minetto more than expected).
Fields of papers citing papers by Rodrigo Minetto
This network shows the impact of papers produced by Rodrigo Minetto. 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 Rodrigo Minetto. The network helps show where Rodrigo Minetto may publish in the future.
Co-authorship network of co-authors of Rodrigo Minetto
This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Minetto. A scholar is included among the top collaborators of Rodrigo Minetto 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 Rodrigo Minetto. Rodrigo Minetto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 18 | |
| 12 | 3 | |
| 13 | OutdoorSent: Can Semantic Features Help Deep Learning in Sentiment Analysis of Outdoor Images? | 1 |
| 14 | 116 | |
| 15 | 33 | |
| 16 | 41 | |
| 17 | 37 | |
| 18 | Estimation of Camera Parameters in Video Sequences with a Large Amount of Scene Motion | 8 |
| 19 | 2 | |
| 20 | 14 |
About Rodrigo Minetto
Rodrigo Minetto is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Transportation, having authored 43 papers that have together received 971 indexed citations. Recurring topics across this work include Vehicle License Plate Recognition (7 papers), Handwritten Text Recognition Techniques (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Media Technology (301 citations), Computer Vision and Pattern Recognition (618 citations) and Biophysics (78 citations). Rodrigo Minetto has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Bogdan Tomoyuki Nassu, Leyza Baldo Dorini, Neucimar J. Leite, Diogo Luvizon, Sudeep Sarkar, Maurício Pamplona Segundo, Jorge Stolfi, N.J. Leite, Matthieu Cord and Nicolas Thome. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Geoscience and Remote Sensing.
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.