Maxime Bassenne

35 total papers · 869 total citations
16 papers, 621 citations indexed

About

Maxime Bassenne is a scholar working on Computational Mechanics, Ocean Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Maxime Bassenne has authored 16 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 8 papers in Ocean Engineering and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Maxime Bassenne's work include Particle Dynamics in Fluid Flows (8 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Aeolian processes and effects (3 papers). Maxime Bassenne is often cited by papers focused on Particle Dynamics in Fluid Flows (8 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Aeolian processes and effects (3 papers). Maxime Bassenne collaborates with scholars based in United States, France and South Korea. Maxime Bassenne's co-authors include Lei Xing, Hyunseok Seo, Charles Huang, Ruoxiu Xiao, Parviz Moin, Javier Urzay, George Ilhwan Park, Perry L. Johnson, Varun Vasudevan and Md Tauhidul Islam and has published in prestigious journals such as Journal of Fluid Mechanics, International Journal of Radiation Oncology*Biology*Physics and IEEE Transactions on Medical Imaging.

In The Last Decade

Maxime Bassenne

15 papers receiving 606 citations

Hit Papers

Modified U-Net (mU-Net) W... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Maxime Bassenne 229 205 198 159 145 16 621
Hanqiang Cao 67 0.3× 162 0.8× 77 0.4× 87 0.5× 93 0.6× 38 626
M. Sabry Hassouna 133 0.6× 320 1.6× 97 0.5× 37 0.2× 48 0.3× 23 648
Shengzhou Xu 167 0.7× 286 1.4× 21 0.1× 175 1.1× 35 0.2× 22 691
Tran Minh Quan 361 1.6× 237 1.2× 145 0.7× 83 0.5× 13 0.1× 21 725
J. Anthony Parker 109 0.5× 384 1.9× 61 0.3× 43 0.3× 19 0.1× 6 683
Klaus D. Toennies 146 0.6× 378 1.8× 32 0.2× 124 0.8× 45 0.3× 40 631
Sheshadri Thiruvenkadam 217 0.9× 406 2.0× 67 0.3× 88 0.6× 18 0.1× 18 603
Jie Mei 77 0.3× 177 0.9× 37 0.2× 52 0.3× 158 1.1× 23 576
Ingmar Bitter 142 0.6× 478 2.3× 151 0.8× 44 0.3× 14 0.1× 29 771
Jiayu Xu 218 1.0× 400 2.0× 24 0.1× 250 1.6× 19 0.1× 25 718

Countries citing papers authored by Maxime Bassenne

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Bassenne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Bassenne

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