Automated Author ProfileAkkerman, I. (Ido)
0000-0002-5937-0300
Akkerman, I. (Ido)
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: 1.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Experimental results for the sailing performance of ships fitted with bilge keel appendages are presented. Sailing performance is synonymous with manoeuvring forces for the steady drift condition, i.e. increase in resistance, lateral force production, and yaw moment for leeway (drift) angle. Systematic variations in appendage height, length, and position are tested, including several special cases. The appendage typology is shown to mitigate the strong ‘destabilizing’ yaw moment that is characteristic for wind assisted commercial vessels and to promote the non-linear sideforce component. The entire data set, including all derived quantities and details for the uncertainty assessment, is made available to support ongoing research and eventual commercial uptake for wind-assist ship propulsion.
Authors
- van der Kolk, Nico ;
- Akkerman, I. (Ido) ;
- Keuning, J.A. (Jan) ;
- Huijsmans, R.H.M. (Rene)