Automated Author ProfileAlkofer, R.
Alkofer, R.
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: 3.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract We present an algorithm for the derivation of Dyson-Schwinger equations of general theories that is suitable for an implementation within a symbolic programming language. Moreover, we introduce the Mathematica package DoDSE^1which provides such an implementation. It derives the Dyson-Schwinger equations graphically once the interactions of the theory are specified. A few examples for the application of both the algorithm and the DoDSE package are provided. Title of program: DoDSE Catalogue Id: AECT_v1_0 Nature of problem Derivation of Dyson-Schwinger equations for a theory with given interactions. Versions of this program held in the CPC repository in Mendeley Data AECT_v1_0; DoDSE; 10.1016/j.cpc.2008.12.009 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
Authors
- Alkofer, R.
Abstract We present an algorithm for the derivation of Dyson-Schwinger equations of general theories that is suitable for an implementation within a symbolic programming language. Moreover, we introduce the Mathematica package DoDSE^1which provides such an implementation. It derives the Dyson-Schwinger equations graphically once the interactions of the theory are specified. A few examples for the application of both the algorithm and the DoDSE package are provided. Title of program: DoDSE Catalogue Id: AECT_v1_0 Nature of problem Derivation of Dyson-Schwinger equations for a theory with given interactions. Versions of this program held in the CPC repository in Mendeley Data AECT_v1_0; DoDSE; 10.1016/j.cpc.2008.12.009 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
Authors
- Alkofer, R.