Alexandre A. Varnek
Alexandre A. Varnek publishes mostly in Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, on topics such as Computational Drug Discovery Methods, Machine Learning in Materials Science and Analytical Chemistry and Chromatography.
- World rank
- #504,150 of 7,710,434 ranked researchers
- Rank in France
- #26,380 of 324,115
- Works
- 406
- Citations
- 14k
- Citations per work
- 33.6
What does Alexandre A. Varnek research?
Alexandre A. Varnek's work is mostly in Computer Science (23%), Chemistry (18%), Biochemistry, Genetics and Molecular Biology (15%).
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 Sciences21452.6%
- Computer Science9222.6%
- Chemistry7518.4%
- Materials Science4711.6%
- Everything else13032.0%
- Life Sciences6315.4%
- 1Computational Theory and Mathematics23% of their works
- 2Molecular Biology15% of their works
- 3Materials Chemistry12% of their works
- 4Spectroscopy8% of their works
- 5Organic Chemistry7% of their works
- 6Physical and Theoretical Chemistry3% of their works
Research topics
- Computational Drug Discovery Methods
- Machine Learning in Materials Science
- Analytical Chemistry and Chromatography
- Metabolomics and Mass Spectrometry Studies
- Chemical Synthesis and Analysis
- Microbial Natural Products and Biosynthesis
- Protein Structure and Dynamics
- Chemical Thermodynamics and Molecular Structure
Which keywords describe Alexandre A. Varnek's research?
The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, Molecular Dynamics, High-Throughput, Materials Informatics, Drug Discovery and Chiral Separation.
- Enthalpies
- Protein
- Natural Products
- Foldamers
- Mass Spectrometry
- Chiral Separation
- Materials Informatics
- Molecular Dynamics
- Molecular Docking
- Machine Learning
- Virtual Screening
- High-Throughput
- Drug Discovery
- Liquid Chromatography
- Metabolomics
- Peptide Synthesis
- Secondary Metabolites
- Structure
- Vaporization
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 Learning2982 topics
- Molecular Docking2081 topic
- Virtual Screening2081 topic
- Molecular Dynamics1102 topics
- High-Throughput901 topic
- Materials Informatics901 topic
- Drug Discovery512 topics
- Chiral Separation501 topic
- Liquid Chromatography501 topic
- Mass Spectrometry271 topic
- Metabolomics271 topic
- Foldamers261 topic
- Peptide Synthesis261 topic
- Natural Products251 topic
- Secondary Metabolites251 topic
- Protein201 topic
- Structure201 topic
- Enthalpies151 topic
- Vaporization151 topic
Where does Alexandre A. Varnek work?
Alexandre A. Varnek's main affiliation in the publication record is Université de Strasbourg, France.
How many publications and citations does Alexandre A. Varnek have?
OpenAlex counts 406 works and 13,638 citations for Alexandre A. Varnek, an h-index of 49, ranking #504,150 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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