S. Farrens
Impact in
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- Astronomy and Astrophysical Research
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- Galaxies: Formation, Evolution, Phenomena
- Cosmology and Gravitation Theories
- Gamma-ray bursts and supernovae
Papers in
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- Advanced Image Processing Techniques 2
- Advanced Vision and Imaging 2
- Image and Signal Denoising Methods 1
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- Galaxies: Formation, Evolution, Phenomena 3
- Stellar, planetary, and galactic studies 1
- Co-authors
- Jean‐Luc Starck (5 shared papers)Antoine Grigis (1 shared paper)R. Gavazzi (2 shared papers)Cristiano G. Sabiu (1 shared paper)Philippe Ciuciu (1 shared paper)Zaccharie Ramzi (1 shared paper)M. Kilbinger (3 shared papers)Michael J. Hudson (2 shared papers)
- Journals
- Astronomy and Astrophysics (5 papers)Astronomy and Computing (1 paper)Monthly Notices of the Royal Astronomical Society (1 paper)
- Partner nations
- FranceSwitzerlandUnited Kingdom
In The Last Decade
S. Farrens
7 papers receiving 63 citations
Peers
Comparison fields: 5 of 33
- Instrumentation 18
- Astronomy and Astrophysics 35
- Structural Biology 1
- Computer Vision and Pattern Recognition 13
- Radiology, Nuclear Medicine and Imaging 11
Countries citing papers authored by S. Farrens
This map shows the geographic impact of S. Farrens'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 S. Farrens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Farrens more than expected).
Fields of papers citing papers by S. Farrens
This network shows the impact of papers produced by S. Farrens. 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 S. Farrens. The network helps show where S. Farrens may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Farrens, 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 | 2020 | 15 | |
| 2 | 2011 | 12 | |
| 3 | 2022 | 11 | |
| 4 | 2017 | 9 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 4 |
About S. Farrens
S. Farrens is a scholar working on Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Instrumentation, Computational Mechanics and Ecology, having authored 7 papers that have together received 65 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (3 papers), Advanced Image Processing Techniques (2 papers), Advanced Vision and Imaging (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Remote-Sensing Image Classification (1 paper), Stellar, planetary, and galactic studies (1 paper), Image and Signal Denoising Methods (1 paper) and Calibration and Measurement Techniques (1 paper). The work is most often cited by research in Instrumentation (18 citations), Astronomy and Astrophysics (35 citations), Structural Biology (1 citation), Computer Vision and Pattern Recognition (13 citations) and Radiology, Nuclear Medicine and Imaging (11 citations). S. Farrens has collaborated with scholars based in France, Switzerland and United Kingdom. Frequent co-authors include Jean‐Luc Starck, Antoine Grigis, R. Gavazzi, Cristiano G. Sabiu, Philippe Ciuciu, Zaccharie Ramzi, M. Kilbinger, Michael J. Hudson, F. B. Abdalla and E. S. Cypriano. Their work appears in journals such as Astronomy and Astrophysics, Astronomy and Computing 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.