F. Mayet

8.6k total citations · 1 hit paper
73 papers, 2.1k citations indexed

About

F. Mayet is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Radiation. According to data from OpenAlex, F. Mayet has authored 73 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Nuclear and High Energy Physics, 27 papers in Astronomy and Astrophysics and 16 papers in Radiation. Recurrent topics in F. Mayet's work include Dark Matter and Cosmic Phenomena (30 papers), Particle Detector Development and Performance (19 papers) and Cosmology and Gravitation Theories (16 papers). F. Mayet is often cited by papers focused on Dark Matter and Cosmic Phenomena (30 papers), Particle Detector Development and Performance (19 papers) and Cosmology and Gravitation Theories (16 papers). F. Mayet collaborates with scholars based in France, United States and South Africa. F. Mayet's co-authors include T. H. Bothwell, R. W. Charlton, D. Santos, J. D. Torrance, J. Billard, Richard B. Walker, Sean Lynch, Peter Disler, W. R. Bezwoda and B Macfarlane and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and American Journal of Clinical Nutrition.

In The Last Decade

F. Mayet

69 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The effect of tea on iron absorption.

1975 346 citations Peter Disler, Sean Lynch et al. Gut profile →

Peers

Countries citing papers authored by F. Mayet

Since Specialization

Citations

This map shows the geographic impact of F. Mayet'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. Mayet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Mayet more than expected).

Fields of papers citing papers by F. Mayet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Mayet. 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. Mayet. The network helps show where F. Mayet may publish in the future.

Co-authorship network of co-authors of F. Mayet

This figure shows the co-authorship network connecting the top 25 collaborators of F. Mayet. A scholar is included among the top collaborators of F. Mayet 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 F. Mayet. F. Mayet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Galaxy cluster mass bias from projected mass maps 2023 ·Astronomy and Astrophysics ·(unknown), J. F. Macías–Pérez, E. Artis, Weiguang Cui, (unknown), Federico De Luca, M. De Petris, A. Ferragamo, C. Giocoli, (unknown), F. Mayet, M. Meneghetti, (unknown), (unknown), L. Perotto, Elena Rasia, Gustavo Yepes	1
2	The hydrostatic-to-lensing mass bias from resolved X-ray and optical-IR data 2023 ·Astronomy and Astrophysics ·(unknown), (unknown), G. W. Pratt, É. Pointecouteau, I. Bartalucci, M. De Petris, A. Ferragamo, (unknown), F. Kéruzoré, F. Mayet, (unknown), (unknown), L. Perotto, Gustavo Yepes	2
3	Gamma-ray spectroscopy for the characterization of uranium contamination in nuclear decommissioning 2023 ·SHILAP Revista de lepidopterología ·Federico Salvador, (unknown), Bertrand Pérot, (unknown), (unknown), (unknown), (unknown), (unknown), F. Mayet	2
4	The Three Hundred–NIKA2 Sunyaev–Zeldovich Large Program twin samples: Synthetic clusters to support real observations 2022 ·SHILAP Revista de lepidopterología ·(unknown), E. Artis, Weiguang Cui, (unknown), F.–X. Désert, A. Ferragamo, (unknown), F. Kéruzoré, J. F. Macías–Pérez, F. Mayet, (unknown), (unknown), Elena Rasia, F. Ruppin, Gustavo Yepes	2
5	Comparison of hydrostatic and lensing cluster mass estimates: A pilot study in MACS J0647.7+7015 2022 ·Astronomy and Astrophysics ·A. Ferragamo, J. F. Macías–Pérez, Vincent Pelgrims, F. Ruppin, M. De Petris, F. Mayet, (unknown), L. Perotto, É. Pointecouteau	3
6	Exploring the hydrostatic mass bias in MUSIC clusters: application to the NIKA2 mock sample 2021 ·Monthly Notices of the Royal Astronomical Society ·(unknown), M. De Petris, Gustavo Yepes, Federico De Luca, Federico Sembolini, Weiguang Cui, Veronica Biffi, F. Kéruzoré, J. F. Macías–Pérez, F. Mayet, L. Perotto, Elena Rasia, F. Ruppin	45
7	Impact of ICM disturbances on the mean pressure profile of galaxy clusters: A prospective study of the NIKA2 SZ large program with MUSIC synthetic clusters 2019 ·Springer Link (Chiba Institute of Technology) ·F. Ruppin, Federico Sembolini, M. De Petris, R. Adam, (unknown), J. F. Macías–Pérez, F. Mayet, L. Perotto, Gustavo Yepes	13
8	Development of a -TPC detector as a standard instrument for low-energy neutron field characterisation 2014 ·Radiation Protection Dosimetry ·(unknown), J. Billard, G. Bosson, O. Bourrion, O. Guillaudin, J. Lamblin, L. Lebreton, F. Mayet, (unknown), J.-F. Muraz, J.P. Richer, Q. Riffard, D. Santos	2
9	Measurement of the electron drift velocity in CF4 and CHF3 gas mixtures in the context of upcoming directional Dark Matter detectors 2013 ·arXiv (Cornell University) ·J. Billard, F. Mayet, G. Bosson, O. Bourrion, O. Guillaudin, J. Lamblin, J.P. Richer, Q. Riffard, D. Santos, F.J. Iguaz, L. Lebreton, (unknown)	2
10	Foreword 2012 ·EAS Publications Series ·F. Mayet, (unknown)	0
11	Assessing the discovery potential of directional detection of dark matter 2012 ·Physical review. D. Particles, fields, gravitation, and cosmology ·J. Billard, F. Mayet, D. Santos	46
12	Submillimetre point sources from the Archeops experiment: very cold clumps in the Galactic plane 2008 ·Astronomy and Astrophysics ·F.–X. Désert, J. F. Macías–Pérez, F. Mayet, G. Giardino, C. Renault, J. Aumont, Alexandre Benoît, J.-P. Bernard, N. Ponthieu, M. Tristram	52
13	An analysis method for time ordered data processing of dark matter experiments 2006 ·Astronomy and Astrophysics ·E. Moulin, J. F. Macías–Pérez, F. Mayet, Clemens B. Winkelmann, Yu. M. Bunkov, H. Godfrin, D. Santos	2
14	Mirage: A new iterative map-making code for CMB experiments 2005 ·Astronomy and Astrophysics ·D. Yvon, F. Mayet	12
15	Search for supersymmetric Dark Matter with superfluid 3He (MACHe3) 2002 ·Physics Letters B ·F. Mayet, D. Santos, Yu. M. Bunkov, Eddy Collin, H. Godfrin	18
16	Ascorbic acid prevents the dose-dependent inhibitory effects of polyphenols and phytates on nonheme-iron absorption 1991 ·American Journal of Clinical Nutrition ·D Siegenberg, RD Baynes, (unknown), B Macfarlane, (unknown), (unknown), Patrick MacPhail, Ulrike Schmidt, (unknown), F. Mayet	278
17	Effect of lupines, a protein-rich legume, on iron absorption. 1988 ·PubMed ·(unknown), RD Baynes, Bothwell Th, Ulrike Schmidt, F. Mayet, (unknown)	7
18	Inhibitory effect of nuts on iron absorption 1988 ·American Journal of Clinical Nutrition ·B Macfarlane, W. R. Bezwoda, T. H. Bothwell, Roy D. Baynes, (unknown), A. P. MacPhail, (unknown), F. Mayet	32
19	Cross infection with Streptococcus pneumoniae through a resuscitaire. 1986 ·BMJ ·Shaheen Mehtar, Y. Drabu, (unknown), F. Mayet	17
20	The effect of tea on iron absorption. breakdown → 1975 ·Gut ·Peter Disler, Sean Lynch, R. W. Charlton, J. D. Torrance, T. H. Bothwell, Richard B. Walker, F. Mayet	346

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.

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