Automated Author ProfileMr Keisuke Hibino
Mr Keisuke Hibino
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Mixed-anion compounds such as lanthanum oxyfluorides are increasingly attractive as materials in energy technology applications, such as fuel cells, electrolysers and permeation membranes. As the structures become more complex it is essential that a detailed understanding of the local structure, local anion/cation ordering and related anion migration pathways is determined. Here we focus on the lanthanum oxyfluorides and wish to probe the temperature evolution of local structure, local anion/cation ordering, as well as the evolution of interstitial anions, which will provide insight into the anion transport pathways.
Authors
- Professor Stephen Skinner ;
- Dr Kotaro Fujii ;
- Mr Keisuke Hibino ;
- Mr Masahiro Shiraiwa ;
- Professor Masastomo Yashima ;
- Dr Helen Playford ;
- Mr YU ZHOU