Automated Author ProfileHayden, Kyle
Columbia University
Hayden, Kyle
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: 21.4 (sum of 33 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This page contains additional documentation for the computer calculations used in the paper "Exotic ribbon disks and symplectic surfaces". The file "A guide (README).pdf" explains these calculations and the files contained in this dataset. These include calculations of isometry groups of hyperbolic 3-manifolds using the software SnapPy and knot invariants from knot Floer homology using the HFK Calculator. All software used is publicly available, and can be located using the citations in the paper.
Authors
- Hayden, Kyle
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Authors
- Hayden, Kyle
This is a guide that explains the computer calculations and their supporting files.
Authors
- Hayden, Kyle
:unav
Authors
- Hayden, Kyle
:unav
Authors
- Hayden, Kyle
:unav
Authors
- Hayden, Kyle
:unav
Authors
- Hayden, Kyle
:unav
Authors
- Hayden, Kyle
:unav
Authors
- Hayden, Kyle