Automated Author ProfileJoão Paulo Just Peixoto
João Paulo Just Peixoto
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: 2.6 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains data about the number of response centres (hospitals, fire stations, police offices and railway stations) in every city in Portugal. It is compound of a GeoJSON file with geographic boundaries of the entire country, a GeoJSON file containing the geometry and response centres counting for each city, an OpenStreetMap (OSM) file for each city and a CSV table that summarizes all the data. Additionally, the scripts used to generate the dataset are also provided.
Authors
- João Paulo Just Peixoto
This dataset contains data about the number of response centres (hospitals, fire stations, police offices and railway stations) in every city in Portugal. It is compound of a GeoJSON file with geographic boundaries of the entire country, a GeoJSON file containing the geometry and response centres counting for each city, an OpenStreetMap (OSM) file for each city and a CSV table that summarizes all the data. Additionally, the scripts used to generate the dataset are also provided.
Authors
- João Paulo Just Peixoto
This dataset contains data about the number of response centres (hospitals, fire stations, police offices and railway stations) in every city in Portugal. It is compound of a GeoJSON file with geographic boundaries of the entire country, a GeoJSON file containing the geometry and response centres counting for each city, an OpenStreetMap (OSM) file for each city and a CSV table that summarizes all the data. Additionally, the scripts used to generate the dataset are also provided.
Authors
- João Paulo Just Peixoto
This dataset contains data about the number of response centres (hospitals, fire stations, police offices and railway stations) in every city in Portugal. It is compound of a GeoJSON file with geographic boundaries of the entire country, a GeoJSON file containing the geometry and response centres counting for each city, an OpenStreetMap (OSM) file for each city and a CSV table that summarizes all the data.
Authors
- João Paulo Just Peixoto
This dataset contains data about the number of response centres (hospitals, fire stations, police offices and railway stations) in every city in Portugal. It is compound of a GeoJSON file with geographic boundaries of the entire country, a GeoJSON file containing the geometry and response centres counting for each city, an OpenStreetMap (OSM) file for each city and a CSV table that summarizes all the data.
Authors
- João Paulo Just Peixoto