Maxime Langevin

1.2k total citations
5 papers, 137 citations indexed

About

Maxime Langevin is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Maxime Langevin has authored 5 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 4 papers in Materials Chemistry and 3 papers in Molecular Biology. Recurrent topics in Maxime Langevin's work include Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). Maxime Langevin is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). Maxime Langevin collaborates with scholars based in France and Germany. Maxime Langevin's co-authors include Marc Bianciotto, Rodolphe Vuilleumier, Hervé Minoux, Maximilien Levesque, Laurence Grimaud, Stefan Güssregen, Yi Li, Hans Matter and Christoph Grebner and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Chemical Information and Modeling and ACS Omega.

In The Last Decade

Maxime Langevin

5 papers receiving 132 citations

Peers

Maxime Langevin
Comparison fields: 5 of 35
  • Materials Chemistry 91
  • Computational Theory and Mathematics 87
  • Molecular Biology 57
  • Biomedical Engineering 28
  • Organic Chemistry 15
Replace Jeff Guo with:
Jeff Guo Sweden
David Kreutter Switzerland
Chengyun Zhang China
Peter Bolgar United Kingdom
Junsu Ko South Korea
Arne Schneuing United Kingdom
Ilia Igashov United Kingdom
Yashaswi Pathak India
Sarvesh Mehta India
Jeff Guo Sweden View profile →
Citations per field, relative to Maxime Langevin
Maxime Langevin · 1×
Citations per year, relative to Maxime Langevin
Maxime Langevin · 1×

Countries citing papers authored by Maxime Langevin

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Langevin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Langevin

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

All Works

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026