Automated Author Profile
Payvandi, Sevil

Current S-Index

2.8

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.4

Average Dataset Index per dataset

Total Datasets

Total datasets for this author

Average FAIR Score

76.9%

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: 2.8 (sum of 2 datasets Dataset Index scores)

More information here.

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Supplementary information for the paper 'Analytical equation for rapid estimation of pesticide leaching risk accounting for nonlinear sorption with bulk soil biodegredation - Supplementary Information'

This document covers the more in depth derivations of the solutions we present in the main text. This document also provides a more exhaustive set of results covering explicitly all of the focus scenarios. We also provide a direct closed form solution for nonlinear binding consider only advective transport of pesticide compounds. Lastly, we also include an analytic solution for the time-dependent the linear binding scenario.

Authors

Ruiz, Siul ;
Payvandi, Sevil ;
Sweeney, Paul ;
Roose, Tiina

1 Citation0 Mentions77% FAIR2.0 Dataset Index

10.5258/soton/d32782025

Use of a coupled soil-root-leaf model to optimise phosphate fertiliser use efficiency in barley

Files used to compute the figures for the paper Heppell, J., Payvandi, S., Talboys, P., Zygalakis, K., Langton, D., Sylvester-Bradley, R., Edwards, A.C., Walker, R., Withers, P., Jones, D.L. and Roose, T. (2016) Use of a coupled soil-root-leaf model to optimise phosphate fertiliser use efficiency in barley. Plant and Soil, 1-29. (doi:10.1007/s11104-016-2883-4)