Automated Author ProfileGiulio Campiti
Giulio Campiti
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: 2.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Excel file containing data on 10,960 conjunction events occurred in 2022 between space objects in Low-Earth Orbit. The dataset is represented as a table, where each row corresponds to a unique conjunction event and each column corresponds to a different conjunction feature. The first row of the table reports the columns names. For each conjunction, the following features are provided: the two objects' names ('name_1', 'name_2'), the two objects' Norad numbers ('norad_1', 'norad_2'), a Two-Line Element (TLE) set for each object ('TLE_1', 'TLE_2'), the time difference (in days) between each TLE epoch and the Time of Closest Approach (TCA) ('prop_1', 'prop_2'), the minimum predicted distance at TCA ('min_range') and the predicted relative velocity at TCA ('rel_vel'). To propagate the objects' trajectories and reconstruct the conjunction kinematics, the only necessary conjunction features are the two TLE sets and the two propagation time-spans.
Authors
- Giulio Campiti
Excel file containing data on 10,960 conjunction events occurred in 2022 between space objects in Low-Earth Orbit. The dataset is represented as a table, where each row corresponds to a unique conjunction event and each column corresponds to a different conjunction feature. The first row of the table reports the columns names. For each conjunction, the following features are provided: the two objects' names ('name_1', 'name_2'), the two objects' Norad numbers ('norad_1', 'norad_2'), a Two-Line Element (TLE) set for each object ('TLE_1', 'TLE_2'), the time difference (in days) between each TLE epoch and the Time of Closest Approach (TCA) ('prop_1', 'prop_2'), the minimum predicted distance at TCA ('min_range') and the predicted relative velocity at TCA ('rel_vel'). To propagate the objects' trajectories and reconstruct the conjunction kinematics, the only necessary conjunction features are the two TLE sets and the two propagation time-spans.
Authors
- Giulio Campiti