Automated Author ProfileIrwin, D.J.G.
Irwin, D.J.G.
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 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Title of program: HOMER Catalogue Id: AAED_v1_0 Nature of problem The problem is to analyse experimental beam-foil intensity decay data into a sum of exponential terms,each with an amplitude and lifetime parameter. The most apt number of parameters and the optimum value of each is to be determined, together with estimates of standard deviation. Method fo solution The minimum of chi-square is sought in an iterative procedure. Normal equations are obtained from a first order Taylor expansion of the multi-expotential fitting function, together with an auxiliary b ... Versions of this program held in the CPC repository in Mendeley Data AAED_v1_0; HOMER; 10.1016/0010-4655(74)90044-7 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
Authors
- Irwin, D.J.G.
Title of program: HOMER Catalogue Id: AAED_v1_0 Nature of problem The problem is to analyse experimental beam-foil intensity decay data into a sum of exponential terms,each with an amplitude and lifetime parameter. The most apt number of parameters and the optimum value of each is to be determined, together with estimates of standard deviation. Method fo solution The minimum of chi-square is sought in an iterative procedure. Normal equations are obtained from a first order Taylor expansion of the multi-expotential fitting function, together with an auxiliary b ... Versions of this program held in the CPC repository in Mendeley Data AAED_v1_0; HOMER; 10.1016/0010-4655(74)90044-7 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
Authors
- Irwin, D.J.G.