Connor W. Coley
Connor W. Coley publishes mostly in Materials Chemistry, Computational Theory and Mathematics and Molecular Biology, on topics such as Computational Drug Discovery Methods, Machine Learning in Materials Science and Innovative Microfluidic and Catalytic Techniques Innovation.
- World rank
- #16,952 of 7,710,434 ranked researchers
- Rank in United States
- #6,061 of 1,627,098
- Works
- 301
- Citations
- 19k
- Citations per work
- 62.2
What does Connor W. Coley research?
Connor W. Coley's work is mostly in Computer Science (25%), Materials Science (23%), Biochemistry, Genetics and Molecular Biology (16%).
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 Sciences17859.2%
- Computer Science7625.4%
- Materials Science6822.5%
- Engineering217.0%
- Chemistry134.3%
- Everything else7324.4%
- Life Sciences4916.4%
- 1Materials Chemistry22% of their works
- 2Computational Theory and Mathematics21% of their works
- 3Molecular Biology16% of their works
- 4Biomedical Engineering7% of their works
- 5Artificial Intelligence5% of their works
- 6Organic Chemistry4% of their works
Research topics
- Computational Drug Discovery Methods
- Machine Learning in Materials Science
- Innovative Microfluidic and Catalytic Techniques Innovation
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- Chemistry and Chemical Engineering
- Metabolomics and Mass Spectrometry Studies
- Various Chemistry Research Topics
Which keywords describe Connor W. Coley's research?
The keywords of their largest research topics: Machine Learning, Molecular Dynamics, Medicinal Chemistry, High-Throughput, Materials Informatics, Molecular Docking, Virtual Screening and Droplet Formation.
- Mass Spectrometry
- Chemistry Education
- Solvent Selection
- Drug Discovery
- Protein
- Droplet Formation
- Molecular Docking
- High-Throughput
- Molecular Dynamics
- Machine Learning
- Medicinal Chemistry
- Materials Informatics
- Virtual Screening
- Microfluidics
- Structure
- Peptide Synthesis
- Sustainable Chemistry
- Laboratory Techniques
- Metabolomics
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 Learning3102 topics
- Molecular Dynamics1782 topics
- Medicinal Chemistry1702 topics
- High-Throughput1551 topic
- Materials Informatics1551 topic
- Molecular Docking1551 topic
- Virtual Screening1551 topic
- Droplet Formation421 topic
- Microfluidics421 topic
- Protein231 topic
- Structure231 topic
- Drug Discovery221 topic
- Peptide Synthesis221 topic
- Solvent Selection151 topic
- Sustainable Chemistry151 topic
- Chemistry Education131 topic
- Laboratory Techniques131 topic
- Mass Spectrometry131 topic
- Metabolomics131 topic
Where does Connor W. Coley work?
Connor W. Coley's main affiliation in the publication record is Massachusetts Institute of Technology, United States.
How many publications and citations does Connor W. Coley have?
OpenAlex counts 301 works and 18,727 citations for Connor W. Coley, an h-index of 57, ranking #16,952 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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