Daniel S. Wigh
Daniel S. Wigh publishes mostly in Materials Chemistry, Biomedical Engineering and Computational Theory and Mathematics, on topics such as Machine Learning in Materials Science, Innovative Microfluidic and Catalytic Techniques Innovation and Computational Drug Discovery Methods.
- World rank
- #2,498,269 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #176,605 of 367,258
- Works
- 22
- Citations
- 559
- Citations per work
- 25.4
What does Daniel S. Wigh research?
Daniel S. Wigh's work is mostly in Engineering (28%), Materials Science (21%), Computer Science (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 Sciences1672.1%
- Engineering627.9%
- Materials Science520.9%
- Computer Science416.3%
- Chemistry27.0%
- Everything else520.9%
- Life Sciences27.0%
- 1Materials Chemistry21% of their works
- 2Biomedical Engineering21% of their works
- 3Computational Theory and Mathematics16% of their works
- 4Control and Systems Engineering7% of their works
- 5Organic Chemistry7% of their works
- 6Molecular Biology7% of their works
Research topics
- Machine Learning in Materials Science
- Innovative Microfluidic and Catalytic Techniques Innovation
- Computational Drug Discovery Methods
- Advanced Multi-Objective Optimization Algorithms
- Metabolomics and Mass Spectrometry Studies
- Process Optimization and Integration
- Ion channel regulation and function
- Ion Channels and Receptors
Which keywords describe Daniel S. Wigh's research?
The keywords of their largest research topics: Machine Learning, High-Throughput, Materials Informatics, Droplet Formation, Microfluidics, Molecular Docking, Virtual Screening and Evolutionary Algorithms.
- Voltage-Gated Channels
- Calcium Signaling
- Process Intensification
- Metabolomics
- Ion Channels
- Evolutionary Algorithms
- Molecular Docking
- Droplet Formation
- High-Throughput
- Machine Learning
- Materials Informatics
- Microfluidics
- Virtual Screening
- Multiobjective Optimization
- Mass Spectrometry
- Optimization
- Calcium Channels
- TRP Channels
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.
All 18 words, with their numbers
- Machine Learning132 topics
- High-Throughput91 topic
- Materials Informatics91 topic
- Droplet Formation71 topic
- Microfluidics71 topic
- Molecular Docking41 topic
- Virtual Screening41 topic
- Evolutionary Algorithms31 topic
- Multiobjective Optimization31 topic
- Ion Channels22 topics
- Mass Spectrometry21 topic
- Metabolomics21 topic
- Optimization21 topic
- Process Intensification21 topic
- Calcium Channels11 topic
- Calcium Signaling11 topic
- TRP Channels11 topic
- Voltage-Gated Channels11 topic
Where does Daniel S. Wigh work?
Daniel S. Wigh's main affiliation in the publication record is University of Cambridge, United Kingdom.
How many publications and citations does Daniel S. Wigh have?
OpenAlex counts 22 works and 559 citations for Daniel S. Wigh, an h-index of 5, ranking #2,498,269 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised 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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