M. Besnier

27 total papers · 3.3k total citations
7 papers, 61 citations indexed

About

M. Besnier is a scholar working on Nuclear and High Energy Physics, General Health Professions and Sociology and Political Science. According to data from OpenAlex, M. Besnier has authored 7 papers receiving a total of 61 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nuclear and High Energy Physics, 2 papers in General Health Professions and 1 paper in Sociology and Political Science. Recurrent topics in M. Besnier's work include Neutrino Physics Research (3 papers), Astrophysics and Cosmic Phenomena (3 papers) and Dark Matter and Cosmic Phenomena (2 papers). M. Besnier is often cited by papers focused on Neutrino Physics Research (3 papers), Astrophysics and Cosmic Phenomena (3 papers) and Dark Matter and Cosmic Phenomena (2 papers). M. Besnier collaborates with scholars based in France, Japan and Canada. M. Besnier's co-authors include Sebastiaan van Dijken, J. Moritz, J. M. D. Coey, Pierre-Henri Bréchat, Thomas Vogel, M. Berthel, R. Rymer, J. Lonsdorfer, Roland Rymer and Emmanuel Barranger and has published in prestigious journals such as Journal of Applied Physics, Medical Physics and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

M. Besnier

6 papers receiving 60 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. Besnier	40	29	14	12	9	7	61
Daniel Edmunds	30 0.8×	14 0.5×	18 1.3×		6 0.7×	5	44
D. Zhu	32 0.8×	11 0.4×	21 1.5×		11 1.2×	6	69
B. Schneider	23 0.6×	26 0.9×	30 2.1×		15 1.7×	5	61
Aaron Szasz	38 0.9×	18 0.6×	44 3.1×		6 0.7×	10	71
K. Schönmann	34 0.8×	15 0.5×	70 5.0×		7 0.8×	6	82
S. Kitamura	16 0.4×	27 0.9×	11 0.8×		5 0.6×	9	64
K. Fischer	18 0.5×	14 0.5×	6 0.4×		9 1.0×	4	59
Song Jianming	9 0.2×	19 0.7×	22 1.6×		7 0.8×	10	64
Cenyao Tang	19 0.5×	18 0.6×	32 2.3×		4 0.4×	10	47
M. Buchholz	20 0.5×	39 1.3×	62 4.4×		6 0.7×	8	90

Countries citing papers authored by M. Besnier

Since Specialization

Citations

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

Fields of papers citing papers by M. Besnier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Besnier

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

All Works

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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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