Automated Author ProfileFrazier, Tim
Georgetown University
Frazier, Tim
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: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This project has furthered an understanding of what the rest of the world may soon be facing as a result of climate change. This was done by assessing adaptation in the context of development planning in high latitude rural communities by comparing data on recent economic change among a sample of municipalities to identify elements of local developmentstrategies that are associated with positive economic change in the local economy. Perceptions of climate change were then compared to historical, observed, and predicted changes. Specifically, municipalities included were parts of Norway, Sweden, Finland, and northwestern Russia lying above the Arctic Circle. Results indicate climate change is a significant factor in the municipalities surveyed but that impacts on local economies and societies vary drastically within the Arctic region. Coast-to-interior and north-to-south perspectives have highlighted these differences. By developing a climate change adaptation model, we highlight how various strategies have enhanced adaptive capacity by incorporating lived experiences and local knowledge into climate model projections.
Authors
- Frazier, Tim
This project has furthered an understanding of what the rest of the world may soon be facing as a result of climate change. This was done by assessing adaptation in the context of development planning in high latitude rural communities by comparing data on recent economic change among a sample of municipalities to identify elements of local development strategies that are associated with positive economic change in the local economy. Perceptions of climate change were then compared to historical, observed, and predicted changes. Specifically, municipalities included were parts of Norway, Sweden, Finland, and northwestern Russia lying above the Arctic Circle. Results indicate climate change is a significant factor in the municipalities surveyed but that impacts on local economies and societies vary drastically within the Arctic region. Coast-to-interior and north-to-south perspectives have highlighted these differences. By developing a climate change adaptation model, we highlight how various strategies have enhanced adaptive capacity by incorporating lived experiences and local knowledge into climate model projections.
Authors
- Frazier, Tim