C. Tortora
- Instrumentation top 1%
- Astronomy and Astrophysical Research 53
- Astronomy and Astrophysics top 1%
- Galaxies: Formation, Evolution, Phenomena 79
- Stellar, planetary, and galactic studies 30
- Cosmology and Gravitation Theories 25
- Gamma-ray bursts and supernovae 14
- Astrophysics and Star Formation Studies 9
- Nuclear and High Energy Physics top 10%
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- Remote Sensing in Agriculture 12
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- Adaptive optics and wavefront sensing 10
- Co-authors
- N. R. NapolitanoAaron J. RomanowskyV. F. CardoneM. CapaccioliL. V. E. KoopmansE. PiedipalumboG. CovoneF. La Barbera
- Journals
- Monthly Notices of the Royal Astronomical Society (42 papers)Astronomy and Astrophysics (21 papers)The Astrophysical Journal (6 papers)
- Partner nations
- ItalyNetherlandsChina
In The Last Decade
C. Tortora
91 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 63
- Instrumentation 879
- Astronomy and Astrophysics 1.6k
- Nuclear and High Energy Physics 248
- Statistical and Nonlinear Physics 65
- Computer Vision and Pattern Recognition 105
Countries citing papers authored by C. Tortora
This map shows the geographic impact of C. Tortora'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 C. Tortora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Tortora more than expected).
Fields of papers citing papers by C. Tortora
This network shows the impact of papers produced by C. Tortora. 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 C. Tortora. The network helps show where C. Tortora may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C. Tortora, 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 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 38 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 50 | |
| 17 | 2019 | 12 | |
| 18 | 2009 | 20 | |
| 19 | 2006 | 3 | |
| 20 | 2005 | 24 |
About C. Tortora
C. Tortora is a scholar working on Instrumentation, Astronomy and Astrophysics, Nuclear and High Energy Physics, Ecology and Statistical and Nonlinear Physics, having authored 98 papers that have together received 1.7k indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (79 papers), Astronomy and Astrophysical Research (53 papers), Stellar, planetary, and galactic studies (30 papers), Cosmology and Gravitation Theories (25 papers), Gamma-ray bursts and supernovae (14 papers), Remote Sensing in Agriculture (12 papers), Adaptive optics and wavefront sensing (10 papers) and Astrophysics and Star Formation Studies (9 papers). The work is most often cited by research in Instrumentation (879 citations), Astronomy and Astrophysics (1.6k citations), Nuclear and High Energy Physics (248 citations), Statistical and Nonlinear Physics (65 citations) and Computer Vision and Pattern Recognition (105 citations). C. Tortora has collaborated with scholars based in Italy, Netherlands and China. Frequent co-authors include N. R. Napolitano, Aaron J. Romanowsky, V. F. Cardone, M. Capaccioli, L. V. E. Koopmans, E. Piedipalumbo, G. Covone, F. La Barbera, G. Vernardos and Ph. Jetzer. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics, The Astrophysical Journal, The Astrophysical Journal Letters and Science China Physics Mechanics and Astronomy.
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.