Automated Author ProfileChapman, S.J. (Jonathan)
Chapman, S.J. (Jonathan)
Current S-Index
0.8
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.8
Average Dataset Index per dataset
Total Datasets
1
Total datasets for this author
Average FAIR Score
73.1%
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: 0.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
MATLAB codes belonging to the publication: 1. A.S. Haase, S J. Chapman, P.A. Tsai, D. Lohse, R.G.H. Lammertink, The Graetz–Nusselt problem extended to continuum flows with finite slip. J. Fluid Mech. 764, R3 (2015).
Authors
- Haase, A. Sander ;
- Chapman, S.J. (Jonathan) ;
- Tsai, P.A. (Peichun Amy) ;
- Lohse, D. (Detlef) ;
- Lammertink, Rob
0 Citations0 Mentions73% FAIR0.8 Dataset Index
10.4121/uuid:2aad9335-9351-460b-a000-95cbb0650ad6February 2017