Automated Author ProfileGoriely, Alain
Goriely, Alain
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: 6.2 (sum of 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Names-position-nodes.csv is a tab delimited file that contains 83 rows. Each row has 7 entries: the node number, its hemisphere (left or right), its anatomical name, its coordinates (x,y,z), and its associated region.
Authors
- Goriely, Alain
GraphLaplacian83.csv is a tab delimited file that contains the weighted graph Laplacian extracted from 418 different brains as explained in the main text.
Authors
- Goriely, Alain
Names-position-nodes.csv is a tab delimited file that contains 83 rows. Each row has 7 entries: the node number, its hemisphere (left or right), its anatomical name, its coordinates (x,y,z), and its associated region.
Authors
- Goriely, Alain
GraphLaplacian83.csv is a tab delimited file that contains the weighted graph Laplacian extracted from 418 different brains as explained in the main text.
Authors
- Goriely, Alain
A comparison between model (continuous line) and simulation (dashed line) of the effective elastic modulus. The cell-core is 10 times softer than the cell walls for structure 1, 20 times softer than the cell walls for structure 2, and 100 times softer than the walls for structure 3. The closed cubical cells and their inclusions are shown at 20% (right) tension in the vertical direction (colour bar showing the displacement in the same direction).
Authors
- L. Angela Mihai ;
- Wyatt, Hayley ;
- Goriely, Alain
A comparison between model (continuous line) and simulation (dashed line) of the effective elastic modulus. The cell-core is 10 times softer than the cell walls for structure 1, 20 times softer than the cell walls for structure 2, and 100 times softer than the walls for structure 3. The closed cubical cells and their inclusions are shown at 20% (right) tension in the vertical direction (colour bar showing the displacement in the same direction).
Authors
- L. Angela Mihai ;
- Wyatt, Hayley ;
- Goriely, Alain
A comparison between model (continuous line) and simulation (dashed line) of the effective elastic modulus. The cell-core is 10 times softer than the cell walls for structure 1, 20 times softer than the cell walls for structure 2, and 100 times softer than the walls for structure 3. The closed hexagonal prismatic cells and their inclusions are shown at 20% (right) tension in the vertical direction (colour bar showing the displacement in the same direction) is shown.
Authors
- L. Angela Mihai ;
- Wyatt, Hayley ;
- Goriely, Alain
A comparison between model (continuous line) and simulation (dashed line) of the effective elastic modulus. The cell-core is 10 times softer than the cell walls for structure 1, 20 times softer than the cell walls for structure 2, and 100 times softer than the walls for structure 3. The closed hexagonal prismatic cells and their inclusions are shown at 20% (right) tension in the vertical direction (colour bar showing the displacement in the same direction) is shown.
Authors
- L. Angela Mihai ;
- Wyatt, Hayley ;
- Goriely, Alain