Automated Author ProfilePaul, Sudhir
University of Windsor
Paul, Sudhir
University of Windsor
Current S-Index
0.5
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.5
Average Dataset Index per dataset
Total Datasets
1
Total datasets for this author
Average FAIR Score
88.5%
Average FAIR Score per dataset
Total Citations
0
Total citations to the author's datasets
Total Mentions
0
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: 0.5 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Supporting and supplementary material for the article "A Review of the Behrens-Fisher Problem and Some of its Analogs: Does the Same Size Fit All?" by Sudhir Paul, You-Gan Wang and Insha Ullah
Authors
- Paul, Sudhir
0 Citations0 Mentions88% FAIR0.5 Dataset Index
10.5683/sp/fsbfzh2017