M. Raynaud

65 total papers · 1.0k total citations
36 papers, 830 citations indexed

About

M. Raynaud is a scholar working on Computational Mechanics, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, M. Raynaud has authored 36 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 14 papers in Mechanical Engineering and 13 papers in Mechanics of Materials. Recurrent topics in M. Raynaud's work include Numerical methods in inverse problems (11 papers), Radiative Heat Transfer Studies (9 papers) and Adhesion, Friction, and Surface Interactions (5 papers). M. Raynaud is often cited by papers focused on Numerical methods in inverse problems (11 papers), Radiative Heat Transfer Studies (9 papers) and Adhesion, Friction, and Surface Interactions (5 papers). M. Raynaud collaborates with scholars based in France, United States and Serbia. M. Raynaud's co-authors include J. F. Sacadura, James V. Beck, Dominique Baillis, Patrice Chantrenne, Nenad Milošević, Séverine Gomès, Laurent David, Frédéric Lefèvre, K. D. Maglić and Jocelyn Bonjour and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Journal of Materials Science and Journal of Physics D Applied Physics.

In The Last Decade

M. Raynaud

36 papers receiving 806 citations

Author Peers

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

Author						Papers	Cites
M. Raynaud	311	296	275	194	193	36	830
David E. Glass	311 1.0×	262 0.9×	410 1.5×	169 0.9×	175 0.9×	59	936
G. Jeandel	524 1.7×	208 0.7×	135 0.5×	104 0.5×	123 0.6×	52	895
J.P. Bardon	184 0.6×	277 0.9×	258 0.9×	233 1.2×	108 0.6×	35	717
Jafar Ghazanfarian	347 1.1×	277 0.9×	326 1.2×	57 0.3×	301 1.6×	46	913
C. K. Hsieh	178 0.6×	284 1.0×	202 0.7×	123 0.6×	73 0.4×	62	770
N. Araki	170 0.5×	344 1.2×	567 2.1×	143 0.7×	259 1.3×	67	967
Somchart Chantasiriwan	198 0.6×	262 0.9×	300 1.1×	153 0.8×	208 1.1×	64	818
Denis Rochais	287 0.9×	149 0.5×	123 0.4×	39 0.2×	297 1.5×	38	710
Tahar Loulou	149 0.5×	472 1.6×	279 1.0×	125 0.6×	125 0.6×	53	778
B. Andersson	123 0.4×	302 1.0×	407 1.5×	54 0.3×	126 0.7×	38	731

Countries citing papers authored by M. Raynaud

Since Specialization

Citations

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

Fields of papers citing papers by M. Raynaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Raynaud. A scholar is included among the top collaborators of M. Raynaud 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. Raynaud. M. Raynaud 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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