Automated Author ProfileGiulio, Federico
University of Milano-Bicocca0009-0007-0870-7595
Giulio, Federico
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: 3.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
These data are part of a systematic study on the localized and non-localized etch rates of silicon nanopillars produced using Metal-Assisted Chemical Etching (MACE) for thermoelectric applications. Specifically, they represent a collection of etch rates as a function of doping level for both p-type and n-type silicon, using both 1-pot and 2-pot MACE processes. Data are available in both .csv and .xlsx format.
Authors
- Giulio, Federico
These data are part of a systematic study on the localized and non-localized etch rates of silicon nanopillars produced using Metal-Assisted Chemical Etching (MACE) for thermoelectric applications. Specifically, they represent a collection of etch rates as a function of doping level for both p-type and n-type silicon, using both 1-pot and 2-pot MACE processes. Data are available in both .csv and .xlsx format.
Authors
- Giulio, Federico