Automated Author ProfileYAMAMOTO Akihisa
ICEMS - KYOTO UNIVERSITY
YAMAMOTO Akihisa
ICEMS - KYOTO UNIVERSITY
Current S-Index
1.1
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.5
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
30.8%
Average FAIR Score per dataset
Total Citations
0
Total citations to the author's datasets
Total Mentions
0
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: 1.1 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- YAMAMOTO Akihisa ;
- ABUILLAN Wasim ;
- DEME Bruno ;
- KIMMLE Esther ;
- MIELKE Salomé ;
- SAKAMAKI Yusuke ;
- SCHEIDERER Lukas ;
- TANAKA Motomu ;
- THOMA Judith
0 Citations0 Mentions31% FAIR0.8 Dataset Index
10.5291/ill-data.8-02-807January 2018
No description available
Authors
- YAMAMOTO Akihisa ;
- ABUILLAN Wasim ;
- DEME Bruno ;
- MIELKE Salomé ;
- SADAKANE Koichiro ;
- TANAKA Motomu
0 Citations0 Mentions31% FAIR0.3 Dataset Index
10.5291/ill-data.8-02-760January 2016