Automated Author ProfileNathan, Noah
University of Michigan
Nathan, Noah
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: 2.7 (sum of 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Replication data for Motivating the Machine: Which Brokers Do Parties Pay?
Authors
- Brierley, Sarah ;
- Nathan, Noah
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Authors
- Nathan, Noah ;
- Brierley, Sarah
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Authors
- Nathan, Noah ;
- Brierley, Sarah
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Authors
- Nathan, Noah ;
- Brierley, Sarah
Replication data for "The Connections of Party Brokers," Sarah Brierley and Noah Nathan, Journal of Politics
Authors
- Nathan, Noah ;
- Brierley, Sarah
Coding of recent literature on clientelism, as described in the text
Authors
- Nathan, Noah ;
- Hicken, Allen
Underlying data to reproduce Table 1 in Hicken and Nathan, 2020, "Clientelism's Red Herrings," Annual Review of Political Science
Authors
- Nathan, Noah ;
- Hicken, Allen