Automated Author ProfileBullock, Eric
Boston University
Bullock, Eric
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: 4.8 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This is the initial release of the repository containing the data used in the Global Change Biology article "Satellite-Based Estimates Reveal Widespread Forest Degradation in the Amazon" By Eric L Bullock, Curtis E. Woodcock, Carlos Souza Jr., and Pontus Olofsson. The github repository address is https://github.com/bullocke/amazon.
Authors
- Bullock, Eric ;
- Woodcock, Curtis ;
- Souza Jr., Carlos ;
- Olofsson, Pontus
This is the initial release of the repository containing the data used in the Global Change Biology article "Satellite-Based Estimates Reveal Widespread Forest Degradation in the Amazon" By Eric L Bullock, Curtis E. Woodcock, Carlos Souza Jr., and Pontus Olofsson. The github repository address is https://github.com/bullocke/amazon.
Authors
- Bullock, Eric ;
- Woodcock, Curtis ;
- Souza Jr., Carlos ;
- Olofsson, Pontus
Preliminary area estimates of forest disturbances in the country of Georgia by region from 1991 to 2018 using a modified version of the algorithm developed by (Bullock, Woodcock, & Olofsson, 2018). Unit is square kilometers. Reference: Bullock, E. L., Woodcock, C. E., & Olofsson, P. (2018). Monitoring tropical forest degradation using spectral unmixing and Landsat time series analysis. Remote Sensing of Environment, 110968.
Authors
- Chen, Shijuan ;
- Olofsson, Pontus ;
- Woodcock, Curtis ;
- Bullock, Eric
Preliminary area estimates of forest disturbances in the country of Georgia by region from 1991 to 2018 using a modified version of the algorithm developed by (Bullock, Woodcock, & Olofsson, 2018). Unit is square kilometers. Reference: Bullock, E. L., Woodcock, C. E., & Olofsson, P. (2018). Monitoring tropical forest degradation using spectral unmixing and Landsat time series analysis. Remote Sensing of Environment, 110968.
Authors
- Chen, Shijuan ;
- Olofsson, Pontus ;
- Woodcock, Curtis ;
- Bullock, Eric