Fabrício Ferrari
- Astronomy and Astrophysics top 5%
- Instrumentation top 5%
- Nuclear and High Energy Physics top 10%
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition
- Co-authors
- Thaisa Storchi‐BergmannLeonardo FerreiraRogemar A. RiffelAllan Schnorr-MüllerNeil M. NagarM. MurgiaF. GovoniA. Bonafede
- Topics
- Galaxies: Formation, Evolution, Phenomena (23 papers)Astronomy and Astrophysical Research (16 papers)Stellar, planetary, and galactic studies (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Astrophysical JournalMonthly Notices of the Royal Astronomical Society
- Partner nations
- BrazilUnited StatesSpain
In The Last Decade
Fabrício Ferrari
27 papers receiving 506 citations
Peers
Comparison fields: 5 of 44
- Astronomy and Astrophysics 505
- Instrumentation 198
- Nuclear and High Energy Physics 92
- Atomic and Molecular Physics, and Optics 30
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Fabrício Ferrari
This map shows the geographic impact of Fabrício Ferrari'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 Fabrício Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrício Ferrari more than expected).
Fields of papers citing papers by Fabrício Ferrari
This network shows the impact of papers produced by Fabrício Ferrari. 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 Fabrício Ferrari. The network helps show where Fabrício Ferrari may publish in the future.
Co-authorship network of co-authors of Fabrício Ferrari
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrício Ferrari. A scholar is included among the top collaborators of Fabrício Ferrari 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 Fabrício Ferrari. Fabrício Ferrari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 80 | |
| 3 | 21 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 15 | |
| 10 | Gas Streaming Motions towards the Nucleus of M81 | 17 |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 42 | |
| 14 | Astronomia Para Todos | 1 |
| 15 | Illusion - A Fabry-Perot Data-Cube Synthesizer | 0 |
| 16 | 96 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | Space variant sensing | 8 |
About Fabrício Ferrari
Fabrício Ferrari is a scholar working on Instrumentation, Astronomy and Astrophysics and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 542 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (23 papers), Astronomy and Astrophysical Research (16 papers) and Stellar, planetary, and galactic studies (8 papers). The work is most often cited by research in Instrumentation (198 citations), Astronomy and Astrophysics (505 citations) and Nuclear and High Energy Physics (92 citations). Fabrício Ferrari has collaborated with scholars based in Brazil, United States and Spain. Frequent co-authors include Thaisa Storchi‐Bergmann, Leonardo Ferreira, Rogemar A. Riffel, Allan Schnorr-Müller, Neil M. Nagar, M. Murgia, F. Govoni, A. Bonafede, L. Feretti and G. Giovannini. Their work appears in journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.
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.