Maxime Langevin
Maxime Langevin publishes mostly in Molecular Biology, Computational Theory and Mathematics and Materials Chemistry, on topics such as Computational Drug Discovery Methods, Machine Learning in Materials Science and Chemical Synthesis and Analysis.
- World rank
- #1,835,506 of 7,710,434 ranked researchers
- Rank in France
- #80,587 of 324,115
- Works
- 21
- Citations
- 1.3k
- Citations per work
- 60.1
What does Maxime Langevin research?
Maxime Langevin's work is mostly in Biochemistry, Genetics and Molecular Biology (28%), Computer Science (28%), Materials Science (18%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences1150.8%
- Computer Science627.9%
- Materials Science418.0%
- Engineering14.9%
- Life Sciences627.9%
- Everything else421.3%
- 1Molecular Biology28% of their works
- 2Computational Theory and Mathematics20% of their works
- 3Materials Chemistry18% of their works
- 4Artificial Intelligence5% of their works
- 5Biomedical Engineering5% of their works
- 6Computer Networks and Communications3% of their works
Research topics
- Computational Drug Discovery Methods
- Machine Learning in Materials Science
- Chemical Synthesis and Analysis
- Single-cell and spatial transcriptomics
- Innovative Microfluidic and Catalytic Techniques Innovation
- Gene expression and cancer classification
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
Which keywords describe Maxime Langevin's research?
The keywords of their largest research topics: Machine Learning, Molecular Dynamics, Molecular Docking, Virtual Screening, High-Throughput, Materials Informatics, Drug Discovery and Peptide Synthesis.
- Protein-Protein Interaction Networks
- Microarray
- Data Analysis
- Single-Cell
- Droplet Formation
- Peptide Synthesis
- Materials Informatics
- Virtual Screening
- Molecular Dynamics
- Machine Learning
- Molecular Docking
- High-Throughput
- Drug Discovery
- Gene Expression
- Microfluidics
- Transcriptomics
- Gene Set Enrichment Analysis
- Protein
- Structure
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 19 words, with their numbers
- Machine Learning253 topics
- Molecular Dynamics132 topics
- Molecular Docking121 topic
- Virtual Screening121 topic
- High-Throughput111 topic
- Materials Informatics111 topic
- Drug Discovery61 topic
- Peptide Synthesis61 topic
- Gene Expression52 topics
- Droplet Formation31 topic
- Microfluidics31 topic
- Single-Cell31 topic
- Transcriptomics31 topic
- Data Analysis21 topic
- Gene Set Enrichment Analysis21 topic
- Microarray21 topic
- Protein21 topic
- Protein-Protein Interaction Networks21 topic
- Structure21 topic
Where does Maxime Langevin work?
Maxime Langevin's main affiliation in the publication record is Université Paris Sciences et Lettres, France.
How many publications and citations does Maxime Langevin have?
OpenAlex counts 21 works and 1,262 citations for Maxime Langevin, an h-index of 8, ranking #1,835,506 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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