Automated Author ProfileGastal, Eduardo S. L.
UFRGS0000-0001-6894-2940
Gastal, Eduardo S. L.
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: 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
This is the companion code/data repository for the paper entitled "Improving Workload Balance of a Marine CSEM Inversion Application" by Jessica Imlau Dagostini, Henrique Corrêa Pereira da Silva, Vinicius Garcia Pinto, Roberto Machado Velho, Eduardo S. L. Gastal, and Lucas Mello Schnorr. The manuscript has been accepted for publication in February 2021 in the 22nd IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2021) to be held in be held on May 2021 in conjunction with the 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2021).
Authors
- Dagostini, Jessica Imlau ;
- Silva, Henrique Corrêa Pereira Da ;
- Pinto, Vinicius Garcia ;
- Velho, Roberto Machado ;
- Gastal, Eduardo S. L. ;
- Schnorr, Lucas Mello
This is the companion code/data repository for the paper entitled "Improving Workload Balance of a Marine CSEM Inversion Application" by Jessica Imlau Dagostini, Henrique Corrêa Pereira da Silva, Vinicius Garcia Pinto, Roberto Machado Velho, Eduardo S. L. Gastal, and Lucas Mello Schnorr. The manuscript has been accepted for publication in February 2021 in the 22nd IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2021) to be held in be held on May 2021 in conjunction with the 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2021).
Authors
- Dagostini, Jessica Imlau ;
- Silva, Henrique Corrêa Pereira Da ;
- Pinto, Vinicius Garcia ;
- Velho, Roberto Machado ;
- Gastal, Eduardo S. L. ;
- Schnorr, Lucas Mello