Automated Author ProfileSarin, Nikhil
Sarin, Nikhil
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: 0.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data associated with plots in the publication Redback: A Bayesian inference software package for electromagnetic transients [arXiv:2308.12806]. To reproduce the publication plots, you can use the notebook linked here. Redback is an open-source, end-to-end Bayesian Inference software package for simulating and fitting electromagnetic transients. It provides an object-orientated Python interface to multiple sampling algorithms, models for several different electromagnetic transients, an interface to download and process the data for multiple transients from various catalogues, simulate transients for real surveys (e.g. ZTF, LSST) and fit the observations through Bayesian inference [github.com/nikhil-sarin/redback]
Authors
- Sarin, Nikhil ;
- Hübner, Moritz ;
- Omand, Conor M. B. ;
- Setzer, Christian N. ;
- Schulze, Steve ;
- Adhikari, Naresh ;
- Sagués-Carracedo, Ana ;
- Galaudage, Shanika ;
- Wallace, Wendy F. ;
- Lamb, Gavin P. ;
- En-Tzu Lin
Data associated with plots in the publication Redback: A Bayesian inference software package for electromagnetic transients [arXiv:2308.12806]. To reproduce the publication plots, you can use the notebook linked here. Redback is an open-source, end-to-end Bayesian Inference software package for simulating and fitting electromagnetic transients. It provides an object-orientated Python interface to multiple sampling algorithms, models for several different electromagnetic transients, an interface to download and process the data for multiple transients from various catalogues, simulate transients for real surveys (e.g. ZTF, LSST) and fit the observations through Bayesian inference [github.com/nikhil-sarin/redback]
Authors
- Sarin, Nikhil ;
- Hübner, Moritz ;
- Omand, Conor M. B. ;
- Setzer, Christian N. ;
- Schulze, Steve ;
- Adhikari, Naresh ;
- Sagués-Carracedo, Ana ;
- Galaudage, Shanika ;
- Wallace, Wendy F. ;
- Lamb, Gavin P. ;
- En-Tzu Lin