Automated Author ProfileMulyukova, Elvira
Department of Geology and Geophysics, Yale University, New Haven, USA
Mulyukova, Elvira
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: 4.4 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The Subduction zone initiation (SZI) Database is a cross-disciplinary and community-driven approach to gain an improved understanding of subduction zone initiation (SZI) and overcome the key long-standing questions of the Earth Sciences of how, when and where it happens on the Earth. The interdisciplinary database features more than a dozen documented SZI events that occurred during the last hundred million years. The SZI Database and its related online platform, www.szidatabase.org, is an easily-accessible, fully transparent, expandable platform that contains relevant SZI data and analyses, and establishes a common language to sharpen discussion across the Earth Science community. Further details and the first novel scientific insights gained based on the database are presented in Crameri et al. (2020, Nature Communications).
Authors
- Crameri, Fabio ;
- Magni, Valentina ;
- Domeier, Mathew ;
- Shephard, Grace ;
- Chotalia, Kiran ;
- Cooper, George ;
- Eakin, Caroline ;
- Grima, Antoniette Greta ;
- Gürer, Derya ;
- Király, Ágnes ;
- Mulyukova, Elvira ;
- Peters, Kalijn ;
- Robert, Boris ;
- Thielmann, Marcel
The Subduction zone initiation (SZI) Database is a cross-disciplinary and community-driven approach to gain an improved understanding of subduction zone initiation (SZI) and overcome the key long-standing questions of the Earth Sciences of how, when and where it happens on the Earth. The interdisciplinary database features more than a dozen documented SZI events that occurred during the last hundred million years. The SZI Database and its related online platform, www.szidatabase.org, is an easily-accessible, fully transparent, expandable platform that contains relevant SZI data and analyses, and establishes a common language to sharpen discussion across the Earth Science community. Further details and the first novel scientific insights gained based on the database are presented in Crameri et al. (2020, Nature Communications).
Authors
- Crameri, Fabio ;
- Magni, Valentina ;
- Domeier, Mathew ;
- Shephard, Grace ;
- Chotalia, Kiran ;
- Cooper, George ;
- Eakin, Caroline ;
- Grima, Antoniette Greta ;
- Gürer, Derya ;
- Király, Ágnes ;
- Mulyukova, Elvira ;
- Peters, Kalijn ;
- Robert, Boris ;
- Thielmann, Marcel