Automated Author ProfileTrujillo Bueno, Javier
Trujillo Bueno, Javier
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: 1.4 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The dataset comprises some sample example runs with all necessary input parameters and corresponding outputs expected from P-CORONA, along with a few atomic and atmospheric models. Description of the files included is given in the README.txt file.The P-CORONA code can be obtained at https://gitlab.com/polmag/P-CORONA and its documentation at https://polmag.gitlab.io/P-CORONA/The version of P-CORONA used to generate this dataset (which corresponds to the commit #85d7552 in https://gitlab.com/polmag/P-CORONA) can be found at: https://doi.org/10.5281/zenodo.15195460
Authors
- Hebbur Dayananda, Supriya ;
- de Vicente, Angel ;
- del Pino Alemán, Tanausú ;
- Shchukina, Nataliia ;
- Trujillo Bueno, Javier
The dataset comprises some sample example runs with all necessary input parameters and corresponding outputs expected from P-CORONA, along with a few atomic and atmospheric models. Description of the files included is given in the README.txt file.The P-CORONA code can be obtained at https://gitlab.com/polmag/P-CORONA and its documentation at https://polmag.gitlab.io/P-CORONA/The version of P-CORONA used to generate this dataset (which corresponds to the commit #85d7552 in https://gitlab.com/polmag/P-CORONA) can be found at: https://doi.org/10.5281/zenodo.15195460
Authors
- Hebbur Dayananda, Supriya ;
- de Vicente, Angel ;
- del Pino Alemán, Tanausú ;
- Shchukina, Nataliia ;
- Trujillo Bueno, Javier
The dataset comprises some sample example runs with all necessary input parameters and corresponding outputs expected from P-CORONA, along with a few atomic and atmospheric models. Description of the files included is given in the README.txt file.The P-CORONA code can be obtained at https://gitlab.com/polmag/P-CORONA and its documentation at https://polmag.gitlab.io/P-CORONA/
Authors
- Hebbur Dayananda, Supriya ;
- de Vicente, Angel ;
- del Pino Alemán, Tanausú ;
- Shchukina, Nataliia ;
- Trujillo Bueno, Javier
The dataset comprises some sample example runs with all necessary input parameters and corresponding outputs expected from P-CORONA, along with a few atomic and atmospheric models. Description of the files included is given in the README.txt file.The P-CORONA code can be obtained at https://gitlab.com/polmag/P-CORONA and its documentation at https://polmag.gitlab.io/P-CORONA/
Authors
- Hebbur Dayananda, Supriya ;
- de Vicente, Angel ;
- del Pino Alemán, Tanausú ;
- Shchukina, Nataliia ;
- Trujillo Bueno, Javier