Automated Author ProfileMarkaki, Yvonni
University of Oxford
Markaki, Yvonni
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: 6.2 (sum of 7 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Harmonised Variable Details
Authors
- Markaki, Yvonni ;
- Blinder, Scott
Data preparation do-file
Authors
- Markaki, Yvonni ;
- Blinder, Scott
Master do-file
Authors
- Markaki, Yvonni ;
- Blinder, Scott
Method Report and Instructions for Replication
Authors
- Markaki, Yvonni ;
- Blinder, Scott
Data file: Indicators from Marchand et al. 2019
Authors
- Markaki, Yvonni ;
- Blinder, Scott
Data file: Indicators From Nyman and Ahlskog 2018
Authors
- Markaki, Yvonni ;
- Blinder, Scott
Full edition for public use. The REMINDER Integrated Multilevel Database on Migration in the EU brings together cross-national public opinion data and statistics related to immigration and EU mobility from multiple sources. The archived material offers complete replication code and auxiliary files to assist researchers in reconstructing and expanding the database for their own analyses. Please note that replication requires users to access the original survey data separately. The integrated database consists of 184400 observations and 160 variables, 61 of which are at the country level (28 EU plus Norway and Switzerland). We harmonize existing and newly collected survey data between 2002 and 2017, matched with country level data on the welfare impacts of immigration as well as stocks and flows of immigrant populations.
Authors
- Markaki, Yvonni ;
- Blinder, Scott