Science Explorer Back to mapMap
Discussion
Researcher · École Polytechnique Fédérale de Lausanne · Switzerland

Philippe Schwaller

Philippe Schwaller publishes mostly in Materials Chemistry, Computational Theory and Mathematics and Artificial Intelligence, on topics such as Machine Learning in Materials Science, Computational Drug Discovery Methods and Advanced Text Analysis Techniques.

ORCID 0000-0003-3046-6576 OpenAlex
World rank
#32,459
of 7,710,434 ranked researchers
Rank in Switzerland
#692
of 80,918
Works
227
Citations
9.1k
Citations per work
40.3
h-index
33
i10-index 77Top 11% in Materials Chemistry
Philippe Schwaller

What does Philippe Schwaller research?

Philippe Schwaller's work is mostly in Computer Science (33%), Materials Science (25%), Biochemistry, Genetics and Molecular Biology (14%).

Physical Sciences: 148 works · 65.1% of their workComputer Science: 74 works · 32.5% of their workComputational Theory and Mathematics: 41 works · 18.2% of their workArtificial Intelligence: 32 works · 14.3% of their workMaterials Science: 58 works · 25.4% of their workMaterials Chemistry: 58 works · 25.4% of their workEngineering: 8 works · 3.7% of their workBiomedical Engineering: 8 works · 3.7% of their workEnergy: 8 works · 3.5% of their workRenewable Energy, Sustainability and the Environment: 8 works · 3.5% of their workEverything else: 48 works · 21.3% of their workLife Sciences: 31 works · 13.6% of their workBiochemistry, Genetics and Molecular Biology: 31 works · 13.6% of their workMolecular Biology: 31 works · 13.6% of their workTHEIR WORKPhilippeSchwaller227works
Life Sciences14%Physical Sciences65%

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
    1. Computer Science7432.5%
    2. Materials Science5825.4%
    3. Engineering83.7%
    4. Energy83.5%
  2. Everything else4821.3%
    1. Biochemistry, Genetics and Molecular Biology3113.6%
  1. 1Materials Chemistry25% of their works
  2. 2Computational Theory and Mathematics18% of their works
  3. 3Artificial Intelligence14% of their works
  4. 4Molecular Biology14% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Renewable Energy, Sustainability and the Environment4% of their works

Research topics

Which keywords describe Philippe Schwaller's research?

The keywords of their largest research topics: Machine Learning, Molecular Dynamics, High-Throughput, Materials Informatics, Medicinal Chemistry, Molecular Docking, Virtual Screening and Neural Networks.

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 22 words, with their numbers
  1. Machine Learning2323 topics
  2. Molecular Dynamics1352 topics
  3. High-Throughput1251 topic
  4. Materials Informatics1251 topic
  5. Medicinal Chemistry1032 topics
  6. Molecular Docking931 topic
  7. Virtual Screening931 topic
  8. Neural Networks472 topics
  9. Automatic251 topic
  10. Extraction251 topic
  11. Prediction242 topics
  12. Protein242 topics
  13. Machine Translation221 topic
  14. Word Representation221 topic
  15. Amino Acid Composition141 topic
  16. Subcellular Localization141 topic
  17. Drug Discovery111 topic
  18. Peptide Synthesis111 topic
  19. Force Field101 topic
  20. Solvent Selection101 topic
  21. Structure101 topic
  22. Sustainable Chemistry101 topic

Where does Philippe Schwaller work?

Philippe Schwaller's main affiliation in the publication record is École Polytechnique Fédérale de Lausanne, Switzerland.

How many publications and citations does Philippe Schwaller have?

OpenAlex counts 227 works and 9,138 citations for Philippe Schwaller, an h-index of 33, ranking #32,459 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.

Discussion

Ask a question or share a note about Philippe Schwaller. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.