Automated Author ProfileSantos, T.F.
University of Brasília0000-0003-2337-194x
Santos, T.F.
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: 3.1 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This study sheds light on the issue of urban inequalities and segregation, aiming to identify the most vulnerable and resilient areas of Rio de Janeiro in the event of an economic crisis. We assessed the resilience and vulnerability of the public transport system using commonly used accessibility indicators, applying fuzzy logic to data from 160 districts. We considered a scenario without the fare subsidy program. The results indicate that districts with better access to high-capacity transport systems and job opportunities exhibit higher levels of resilience and lower vulnerability.
Authors
- Santos, T.F. ;
- Cardoso, M. ;
- Silva, M.A.V. ;
- Fernandes, V.A.
No description available
Authors
- Santos, T.F. ;
- Cardoso, M. ;
- Silva, M.A.V. ;
- Fernandes, V.A.
Readme
Authors
- Santos, T.F. ;
- Cardoso, M. ;
- Silva, M.A.V. ;
- Fernandes, V.A.