Automated Author ProfileBillari, Francesco C.
Billari, Francesco C.
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: 1.4 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains one of the main outputs of a study on international migration among published researchers from and to the United Kingdom. The migration flows are inferred from the changes of affiliation addresses in Scopus publications from 1996-2020. Scopus data is owned and maintained by Elsevier.
This dataset is provided under a CC BY-NC-SA Creative Commons v 4.0 license (Attribution-NonCommercial-ShareAlike). This means that other individuals may remix, tweak, and build upon these data non-commercially, as long as they provide citations to this data repository (10.6084/m9.figshare.14207369) and the reference article listed below, and license the new creations under the identical terms.
For more details about the study, please refer to Sanliturk et al. (2021).
The dataset is provided in a comma-separated values file (.csv file) and each row represents the migration flow of research-active scholars from a country to another country in a specific year. Either the origin country or the destination country is the United Kingdom.
The data can be used to produce migration models or possibly other measures and estimates. They can also be used as an edge list for creating a network model of migration flows (directed weighted edges) between the UK and other countries (nodes).
Authors
- Sanliturk, Ebru ;
- Aref, Samin ;
- Theile, Tom ;
- Zagheni, Emilio ;
- Billari, Francesco C.
This dataset contains one of the main outputs of a study on international migration among published researchers from and to the United Kingdom. The migration flows are inferred from the changes of affiliation addresses in Scopus publications from 1996-2020. Scopus data is owned and maintained by Elsevier.
This dataset is provided under a CC BY-NC-SA Creative Commons v 4.0 license (Attribution-NonCommercial-ShareAlike). This means that other individuals may remix, tweak, and build upon these data non-commercially, as long as they provide citations to this data repository (10.6084/m9.figshare.14207369) and the reference article listed below, and license the new creations under the identical terms.
For more details about the study, please refer toSanliturk et al. (2021).
The dataset is provided in a comma-separated values file (.csv file) and each row represents the migration flow of research-active scholars from a country to another country in a specific year. Either the origin country or the destination country is the United Kingdom.
The data can be used to produce migration models or possibly other measures and estimates. They can also be used as an edge list for creating a network model of migration flows (directed weighted edges) between the UK and other countries (nodes).
Authors
- Sanliturk, Ebru ;
- Aref, Samin ;
- Zagheni, Emilio ;
- Billari, Francesco C.
This dataset contains one of the main outputs of a study on international migration among published researchers from and to the United Kingdom. The migration flows are inferred from the changes of affiliation addresses in Scopus publications from 1996-2020. Scopus data is owned and maintained by Elsevier.
This dataset is provided under a CC BY-NC-SA Creative Commons v 4.0 license (Attribution-NonCommercial-ShareAlike). This means that other individuals may remix, tweak, and build upon these data non-commercially, as long as they provide citations to this data repository (10.6084/m9.figshare.14207369) and the reference article listed below, and license the new creations under the identical terms.
For more details about the study, please refer to Sanliturk et al. (2021).
The dataset is provided in a comma-separated values file (.csv file) and each row represents the migration flow of research-active scholars from a country to another country in a specific year. Either the origin country or the destination country is the United Kingdom.
The data can be used to produce migration models or possibly other measures and estimates. They can also be used as an edge list for creating a network model of migration flows (directed weighted edges) between the UK and other countries (nodes).
Authors
- Sanliturk, Ebru ;
- Aref, Samin ;
- Theile, Tom ;
- Zagheni, Emilio ;
- Billari, Francesco C.