Fraser G. L. Parlane
Fraser G. L. Parlane publishes mostly in Electrical and Electronic Engineering, Materials Chemistry and Renewable Energy, Sustainability and the Environment, on topics such as Machine Learning in Materials Science, Advanced Memory and Neural Computing and Electrochemical Analysis and Applications.
- World rank
- #1,915,055 of 7,710,434 ranked researchers
- Rank in Canada
- #63,675 of 183,316
- Works
- 33
- Citations
- 1.5k
- Citations per work
- 46.0
What does Fraser G. L. Parlane research?
Fraser G. L. Parlane's work is mostly in Engineering (27%), Materials Science (22%), Chemistry (13%).
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 Sciences2575.0%
- Engineering926.5%
- Materials Science722.1%
- Chemistry413.2%
- Energy413.2%
- Everything else825.0%
- 1Electrical and Electronic Engineering26% of their works
- 2Materials Chemistry22% of their works
- 3Renewable Energy, Sustainability and the Environment13% of their works
- 4Organic Chemistry4% of their works
- 5Electrochemistry4% of their works
- 6Inorganic Chemistry4% of their works
Research topics
- Machine Learning in Materials Science
- Advanced Memory and Neural Computing
- Electrochemical Analysis and Applications
- Photochemistry and Electron Transfer Studies
- TiO2 Photocatalysis and Solar Cells
- Semiconductor materials and devices
- Perovskite Materials and Applications
- Electronic and Structural Properties of Oxides
Which keywords describe Fraser G. L. Parlane's research?
The keywords of their largest research topics: Machine Learning, Materials Informatics, Efficiency, Memristor, Neuromorphic Computing, Atomic Layer Deposition, Detection and Electrochemical.
- Solar Cells
- Perovskite Solar Cells
- Organometal Halide Perovskites
- High-k Dielectrics
- Electrochemical
- Atomic Layer Deposition
- Memristor
- Materials Informatics
- Machine Learning
- Efficiency
- Neuromorphic Computing
- Detection
- Excited-State Proton Transfer
- Intramolecular Charge Transfer
- Oxide Interfaces
- Photocatalysis
- Two-Dimensional Electron Gases
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 17 words, with their numbers
- Machine Learning81 topic
- Materials Informatics81 topic
- Efficiency62 topics
- Memristor41 topic
- Neuromorphic Computing41 topic
- Atomic Layer Deposition31 topic
- Detection31 topic
- Electrochemical31 topic
- Excited-State Proton Transfer31 topic
- High-k Dielectrics31 topic
- Intramolecular Charge Transfer31 topic
- Organometal Halide Perovskites31 topic
- Oxide Interfaces31 topic
- Perovskite Solar Cells31 topic
- Photocatalysis31 topic
- Solar Cells31 topic
- Two-Dimensional Electron Gases31 topic
Where does Fraser G. L. Parlane work?
Fraser G. L. Parlane's main affiliation in the publication record is University of British Columbia, Canada.
How many publications and citations does Fraser G. L. Parlane have?
OpenAlex counts 33 works and 1,518 citations for Fraser G. L. Parlane, an h-index of 13, ranking #1,915,055 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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