Automated Author ProfileKongi, Nadezda
University of Tartu0000-0001-9680-0421
Kongi, Nadezda
University of Tartu
0000-0001-9680-0421
Current S-Index
3.6
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
1.8
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
73.1%
Average FAIR Score per dataset
Total Citations
0
Total citations to the author's datasets
Total Mentions
0
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: 3.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
ASE database containing simulated structures for 1D, 2D and 3D conductive metal-organic frameworks.
Authors
- Ivanistsev, Vladislav ;
- Kongi, Nadezda ;
- Cepitis, Ritums ;
- Krasnenko, Veera
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5281/zenodo.142164042024
ASE database containing simulated structures for 1D, 2D and 3D conductive metal-organic frameworks.
Authors
- Ivanistsev, Vladislav ;
- Kongi, Nadezda ;
- Cepitis, Ritums ;
- Krasnenko, Veera
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5281/zenodo.142164032024