Automated Author ProfileHirst, Cora
Emory University
Hirst, Cora
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: 3.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The unprecedented travel bans introduced in response to the COVID-19 pandemic is a pertinent phenomenon of interest to scholars across the globe. Quantifying the timing and content of policy changes affecting travel and immigration is key to future research on the spread of SARS-CoV-2 and the socioeconomic impacts of these policies. The COVID Border Accountability Project (COBAP) provides a systematized dataset of >1000 policies, reflecting a timeline of new country-level restrictions on movement across international borders during the 2020 year. Using a 20-question survey, trained research assistants (RAs) sourced and documented for each new border policy: start and end dates, whether the closure constitutes a "complete closure" or "partial closure", which exceptions are made, which countries are banned, and which borders are closed, among other variables. In addition, the full text of each policy was included in the database. We maintain and update the data monthly. For public use, we visualize the data in an interactive map tool visualization: covidborderaccountability.org. For ongoing and future pandemic research, the dataset will be useful to policymakers, social and biomedical scientists, and public health experts alike.
Authors
- Shiraef, Mary A. ;
- Hirst, Cora ;
- Weiss, Mark A. ;
- Naseer, Sarah ;
- Lazar, Nikolas ;
- Beling, Elizabeth ;
- Straight, Erin ;
- Feddern, Lukas ;
- Taylor, Noah ;
- Jackson, Cayleigh ;
- Yu, William ;
- Bhaskaran, Aadya ;
- Mattar, Layth ;
- Amme, Matthew ;
- Shum, Maggie ;
- Mitsdarffer, Mary Louise ;
- Sweere, Johanna ;
- Brantley, Susanna E. ;
- Schenoni, Luis L. ;
- Lewis-Beck, Colin ;
- Falcone, Jonathan ;
- Hasaj, Sonila ;
- Gradie, Amalia ;
- Musetti, Rachel E. ;
- Nguyen, Thuy ;
- Selvaraj, Yashwini ;
- Walker, Bryn