Automated Author ProfileEvans, Carolyn L.
Evans, Carolyn L.
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: 1.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Transport time increases with distance traveled, and time is valuable. We show the implications of these facts for global specialization and trade: products where timely delivery is important will be produced near the source of final demand, where wages will be higher as a result. In the model, timely delivery is important because it allows retailers to respond to final demand fluctuations without holding costly inventories, and timely delivery is possible only from nearby locations. Using a unique dataset that allows us to measure the retail demand for timely delivery, we show that the sources of U.S. apparel imports have shifted in the way predicted by the model, with products for which timeliness matters increasingly imported from nearby countries.
Authors
- Evans, Carolyn L. ;
- Harrigan, James
Transport time increases with distance traveled, and time is valuable. We show the implications of these facts for global specialization and trade: products where timely delivery is important will be produced near the source of final demand, where wages will be higher as a result. In the model, timely delivery is important because it allows retailers to respond to final demand fluctuations without holding costly inventories, and timely delivery is possible only from nearby locations. Using a unique dataset that allows us to measure the retail demand for timely delivery, we show that the sources of U.S. apparel imports have shifted in the way predicted by the model, with products for which timeliness matters increasingly imported from nearby countries.
Authors
- Evans, Carolyn L. ;
- Harrigan, James