F. Lacasa
Impact in
- Astronomy and Astrophysics top 10%
- Galaxies: Formation, Evolution, Phenomena
- Cosmology and Gravitation Theories
- Radio Astronomy Observations and Technology
- Gamma-ray bursts and supernovae
- Instrumentation top 10%
- Astronomy and Astrophysical Research
Papers in
-
- Astronomy and Astrophysical Research 4
-
- Galaxies: Formation, Evolution, Phenomena 15
- Cosmology and Gravitation Theories 7
- Radio Astronomy Observations and Technology 5
- Stellar, planetary, and galactic studies 4
- Journals
- Astronomy and Astrophysics (6 papers)Monthly Notices of the Royal Astronomical Society (4 papers)Physical review. D (1 paper)Physical Review Letters (1 paper)Padua Research Archive (University of Padova) (1 paper)
- Partner nations
- SwitzerlandFranceUnited Kingdom
In The Last Decade
F. Lacasa
17 papers receiving 145 citations
Peers
Comparison fields: 5 of 22
- Astronomy and Astrophysics 141
- Instrumentation 25
- Nuclear and High Energy Physics 50
- Acoustics and Ultrasonics 1
- Statistical and Nonlinear Physics 11
Countries citing papers authored by F. Lacasa
This map shows the geographic impact of F. Lacasa'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 F. Lacasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Lacasa more than expected).
Fields of papers citing papers by F. Lacasa
This network shows the impact of papers produced by F. Lacasa. 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 F. Lacasa. The network helps show where F. Lacasa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside F. Lacasa, 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 | 2023 | 4 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 11 | |
| 7 | Modelling the non-linear bispectrum in modified gravity | 2019 | 1 |
| 8 | 2019 | 3 | |
| 9 | 2019 | 17 | |
| 10 | 2018 | 14 | |
| 11 | 2017 | 11 | |
| 12 | 2017 | 18 | |
| 13 | 2017 | 27 | |
| 14 | 2015 | 2 | |
| 15 | 2014 | 2 | |
| 16 | 2014 | 8 | |
| 17 | 2012 | 13 |
About F. Lacasa
F. Lacasa is a scholar working on Instrumentation, Astronomy and Astrophysics, Statistics and Probability, Signal Processing and Applied Mathematics, having authored 17 papers that have together received 149 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (15 papers), Cosmology and Gravitation Theories (7 papers), Radio Astronomy Observations and Technology (5 papers), Stellar, planetary, and galactic studies (4 papers), Astronomy and Astrophysical Research (4 papers), Advanced Statistical Methods and Models (2 papers), Spatial and Panel Data Analysis (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Astronomy and Astrophysics (141 citations), Instrumentation (25 citations), Nuclear and High Energy Physics (50 citations), Acoustics and Ultrasonics (1 citation) and Statistical and Nonlinear Physics (11 citations). F. Lacasa has collaborated with scholars based in Switzerland, France and United Kingdom. Frequent co-authors include G. Hurier, M. Kunz, M. Lima, N. Aghanim, M. Aguena, Francis Bernardeau, K. Benabed, M. Frommert, Aurélie Pénin and Elisabetta Majerotto. Their work appears in journals such as Astronomy and Astrophysics, Monthly Notices of the Royal Astronomical Society, Physical review. D, Physical Review Letters and Padua Research Archive (University of Padova).
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.