Automated Author ProfileGambuzza, Stefano
Gambuzza, Stefano
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: 3.8 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains: The scripts needed to reduce the raw data (available at doi: http://dx.doi.org/10.5258/SOTON/D2197) to the content of the plots of the related publication. Relationship between files, if important for context: The folder data/piv-insta needs the contents of the main dataset (doi: http://dx.doi.org/10.5258/SOTON/D2197) for the scripts in scripts-postprocess/ to work. Additional related data collected that was not included in the current data package: (doi: http://dx.doi.org/10.5258/SOTON/D2197) not included because of space reasons (achive is over 200GB)
Authors
- Gambuzza, Stefano ;
- Ganapathisubramani, Bharathram
This dataset contains all the data used for the Southampton Doctoral thesis entitled : "Effects of turbulence on the performance and wake of a model-scale wind turbine". It consists of two archives: the first one, piv-insta.zip, contains the instantaneous PIV snapshots acquired in the turbine wake, while the second, data.zip, contains all other data. It is a large dataset 258Gb available on request.
Authors
- Gambuzza, Stefano
This archive contains the minimal dataset necessary to reproduce the plots reported in the paper "The effects of free-stream turbulence on the performance of a model wind turbine", in the process of being published on the Journal of Renewable and Sustainable Energy. Data for all figures, as well as scripts necessary to reproduce these, are included in the archive.
Authors
- Gambuzza, Stefano ;
- Ganapathisubramani, Bharathram