M. Fays
Impact in
- Astronomy and Astrophysics top 10%
- Pulsars and Gravitational Waves Research
- Stellar, planetary, and galactic studies
- Gamma-ray bursts and supernovae
- Astrophysics and Star Formation Studies
- Astro and Planetary Science
- Astrophysical Phenomena and Observations
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- Astronomy and Astrophysical Research
Papers in
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- Protein Structure and Dynamics 1
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- Theoretical and Computational Physics 1
- Journals
- Monthly Notices of the Royal Astronomical Society (1 paper)2022 IEEE International Conference on Big Data (Big Data) (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
M. Fays
2 papers receiving 168 citations
Peers
Comparison fields: 5 of 50
- Astronomy and Astrophysics 133
- Instrumentation 23
- Nuclear and High Energy Physics 28
- Oceanography 19
- Geophysics 14
Countries citing papers authored by M. Fays
This map shows the geographic impact of M. Fays'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 M. Fays with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Fays more than expected).
Fields of papers citing papers by M. Fays
This network shows the impact of papers produced by M. Fays. 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 M. Fays. The network helps show where M. Fays may publish in the future.
Co-authors
The 3 scholars most cited alongside M. Fays, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About M. Fays
M. Fays is a scholar working on Molecular Biology, Condensed Matter Physics, Astronomy and Astrophysics, Artificial Intelligence and Statistics and Probability, having authored 2 papers that have together received 182 indexed citations. Recurring topics across this work include Gamma-ray bursts and supernovae (1 paper), Gaussian Processes and Bayesian Inference (1 paper), Theoretical and Computational Physics (1 paper), Pulsars and Gravitational Waves Research (1 paper), Markov Chains and Monte Carlo Methods (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Astronomy and Astrophysics (133 citations), Instrumentation (23 citations), Nuclear and High Energy Physics (28 citations), Oceanography (19 citations) and Geophysics (14 citations). M. Fays has collaborated with scholars based in United Kingdom. Frequent co-authors include W. D. Vousden, Ilya Mandel and V. Boudart. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society and 2022 IEEE International Conference on Big Data (Big Data).
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.