Ricardo Ribeiro
- Nuclear and High Energy Physics top 10%
- Statistical and Nonlinear Physics top 5%
- Astronomy and Astrophysics top 10%
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition
- Co-authors
- D. BazeiaRui Tato MarinhoJoão SanchesU. Rajendra AcharyaS. Vinitha SreeGanapathy KrishnamurthiJasjit S. SuriAntónio J. R. Neves
- Topics
- Multimodal Machine Learning Applications (5 papers)Black Holes and Theoretical Physics (5 papers)Cosmology and Gravitation Theories (3 papers)
- Partner nations
- PortugalBrazilUnited States
In The Last Decade
Ricardo Ribeiro
24 papers receiving 417 citations
Peers
Comparison fields: 5 of 78
- Nuclear and High Energy Physics 157
- Statistical and Nonlinear Physics 130
- Astronomy and Astrophysics 125
- Atomic and Molecular Physics, and Optics 82
- Computer Vision and Pattern Recognition 55
Countries citing papers authored by Ricardo Ribeiro
This map shows the geographic impact of Ricardo Ribeiro'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 Ricardo Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo Ribeiro more than expected).
Fields of papers citing papers by Ricardo Ribeiro
This network shows the impact of papers produced by Ricardo Ribeiro. 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 Ricardo Ribeiro. The network helps show where Ricardo Ribeiro may publish in the future.
Co-authorship network of co-authors of Ricardo Ribeiro
This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Ribeiro. A scholar is included among the top collaborators of Ricardo Ribeiro 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 Ricardo Ribeiro. Ricardo Ribeiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 21 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | UA.PT Bioinformatics at ImageCLEF 2019: Lifelog Moment Retrieval based on Image Annotation and Natural Language Processing. | 2 |
| 9 | 1 | |
| 10 | 3 | |
| 11 | Algorithms for Face Detection on Infrared Thermal Images | 4 |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 97 | |
| 15 | 11 | |
| 16 | 9 | |
| 17 | 22 | |
| 18 | 34 | |
| 19 | 37 | |
| 20 | 135 |
About Ricardo Ribeiro
Ricardo Ribeiro is a scholar working on Computer Vision and Pattern Recognition, Nuclear and High Energy Physics and Geology, having authored 24 papers that have together received 425 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Black Holes and Theoretical Physics (5 papers) and Cosmology and Gravitation Theories (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (157 citations), Statistical and Nonlinear Physics (130 citations) and Astronomy and Astrophysics (125 citations). Ricardo Ribeiro has collaborated with scholars based in Portugal, Brazil and United States. Frequent co-authors include D. Bazeia, Rui Tato Marinho, João Sanches, U. Rajendra Acharya, S. Vinitha Sree, Ganapathy Krishnamurthi, Jasjit S. Suri, António J. R. Neves, Alina Trifan and Alexandre Bernardino. Their work appears in journals such as CHEST Journal, Sensors and Physics Letters 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.