Automated Author ProfilePorrmann, Mario
0000-0003-1005-5753
Porrmann, Mario
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: 2.1 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This data set was used to present the experimental results in our paper entitled Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging Methods.
Authors
- Lian Sang, Cung ;
- Adams, Michael ;
- Hörmann, Timm ;
- Hesse, Marc ;
- Porrmann, Mario ;
- Rückert, Ulrich
The contents of this publication are intended for providing additional supplementary materials, i.e. proofs of formula derivations, presented in our paper entitled "An Analytical Study of Time of Flight Error Estimation in Two-Way Ranging Methods". The mentioned paper was submitted to ``Ninth International Conference on Indoor Positioning and Indoor Navigation (IPIN) 2018}'', which will be held in Nantes, France on September 24-27, 2018.
Authors
- Lian Sang, Cung ;
- Adams, Michael ;
- Hörmann, Timm ;
- Hesse, Marc ;
- Porrmann, Mario ;
- Rückert, Ulrich