Matthieu Rauch

68 total papers · 1.1k total citations
47 papers, 797 citations indexed

About

Matthieu Rauch is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Automotive Engineering. According to data from OpenAlex, Matthieu Rauch has authored 47 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Mechanical Engineering, 27 papers in Industrial and Manufacturing Engineering and 17 papers in Automotive Engineering. Recurrent topics in Matthieu Rauch's work include Manufacturing Process and Optimization (25 papers), Additive Manufacturing Materials and Processes (18 papers) and Additive Manufacturing and 3D Printing Technologies (17 papers). Matthieu Rauch is often cited by papers focused on Manufacturing Process and Optimization (25 papers), Additive Manufacturing Materials and Processes (18 papers) and Additive Manufacturing and 3D Printing Technologies (17 papers). Matthieu Rauch collaborates with scholars based in France, India and New Zealand. Matthieu Rauch's co-authors include Jean-Yves Hascoët, Suk‐Hwan Suh, Emmanuel Duc, Ewen Carcreff, Jumyung Um, Ian Stroud, M. Manjaiah, Xun Xu, Francisco Chinesta and Adrien Leygue and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Machine Tools and Manufacture and Additive manufacturing.

In The Last Decade

Matthieu Rauch

47 papers receiving 768 citations

Author Peers

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

Author Last Decade Papers Cites
Matthieu Rauch 601 365 245 149 131 47 797
Necmettin Kaya 417 0.7× 262 0.7× 168 0.7× 100 0.7× 85 0.6× 46 832
Souran Manoochehri 392 0.7× 273 0.7× 217 0.9× 84 0.6× 133 1.0× 65 867
Ferruh Öztürk 400 0.7× 191 0.5× 185 0.8× 73 0.5× 103 0.8× 52 871
Xuan-Phương Dang 647 1.1× 293 0.8× 226 0.9× 55 0.4× 74 0.6× 26 823
Xiaobing Feng 617 1.0× 146 0.4× 131 0.5× 207 1.4× 46 0.4× 52 784
Chunyang Xia 838 1.4× 315 0.9× 453 1.8× 46 0.3× 67 0.5× 31 1.0k
Zhenyu Han 459 0.8× 196 0.5× 113 0.5× 78 0.5× 233 1.8× 75 818
Haizea González 778 1.3× 188 0.5× 153 0.6× 101 0.7× 87 0.7× 56 893
Gun-Hee Kim 535 0.9× 144 0.4× 267 1.1× 74 0.5× 44 0.3× 31 764
Aniruddha Gaikwad 638 1.1× 291 0.8× 460 1.9× 62 0.4× 54 0.4× 17 816

Countries citing papers authored by Matthieu Rauch

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Rauch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Rauch

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