Automated Author ProfileBertoli, Simone
CERDI - University of Auvergne
Bertoli, Simone
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: 16.5 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The database provides information on bilateral sea distances between any pair of countries; see Bertoli, S., M. Goujon, O. Santoni (2016), "The CERDI-seadistance database", CERDI Working Paper No. 2016/07 for a description of the methodology used to build the database. Paper available here : http://cerdi.org/production/show/id/1791/type_production_id/1 It's an update of the database published at the following adress : https://zenodo.org/record/46822 See readme file for details.
Authors
- Bertoli, Simone ;
- Goujon, Michaël ;
- Santoni, Olivier
The database provides information on bilateral sea distances between any pair of countries; see Bertoli, S., M. Goujon, O. Santoni (2016), "The CERDI-seadistance database", CERDI Working Paper No. 2016/07 for a description of the methodology used to build the database. Paper available here : http://cerdi.org/production/show/id/1791/type_production_id/1 It's an update of the database published at the following adress : https://zenodo.org/record/46822 See readme file for details.
Authors
- Bertoli, Simone ;
- Goujon, Michaël ;
- Santoni, Olivier
The database provides information on bilateral sea distances between any pair of countries; see Bertoli, S., M. Goujon, O. Santoni (2016), "The CERDI-seadistance database", CERDI Working Paper No. 2016/07 for a description of the methodology used to build the database. Paper available here : http://cerdi.org/production/show/id/1791/type_production_id/1Update version available here : https://zenodo.org/record/240493
Authors
- Bertoli, Simone ;
- Goujon, Michaël ;
- Santoni, Olivier