Automated Author ProfileMacNeice, Peter
MacNeice, Peter
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: 3.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract In this paper we describe a community toolkit which is designed to provide parallel support with adaptive mesh capability for a large and important class of computational models, those using structured, logically Cartesian meshes. The package of Fortran 90 subroutines, called PARAMESH, is designed to provide an application developer with an easy route to extend an existing serial code which uses a logically Cartesian structured mesh into a parallel code with adaptive mesh refinement. Alternat... Title of program: PARAMESH Catalogue Id: ADLQ_v1_0 Nature of problem A common problem in gas dynamics and magnetohydrodynamic simulation is achieving the large dynamic range in spatial resolution which can be necessary to accurately model the active physical processes. These simulations also tend to require the largest computers, which inevitably implies the additional complexity of a parallel computing environment. Versions of this program held in the CPC repository in Mendeley Data ADLQ_v1_0; PARAMESH; 10.1016/S0010-4655(99)00501-9 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
Authors
- MacNeice, Peter
Abstract In this paper we describe a community toolkit which is designed to provide parallel support with adaptive mesh capability for a large and important class of computational models, those using structured, logically Cartesian meshes. The package of Fortran 90 subroutines, called PARAMESH, is designed to provide an application developer with an easy route to extend an existing serial code which uses a logically Cartesian structured mesh into a parallel code with adaptive mesh refinement. Alternat... Title of program: PARAMESH Catalogue Id: ADLQ_v1_0 Nature of problem A common problem in gas dynamics and magnetohydrodynamic simulation is achieving the large dynamic range in spatial resolution which can be necessary to accurately model the active physical processes. These simulations also tend to require the largest computers, which inevitably implies the additional complexity of a parallel computing environment. Versions of this program held in the CPC repository in Mendeley Data ADLQ_v1_0; PARAMESH; 10.1016/S0010-4655(99)00501-9 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
Authors
- MacNeice, Peter