P000054
Vakhtang Shelia
Identifiers and status
Recorded name variants
- Vakhtang Shelia
Evidenced roles
Bibliographic authorship
Only bibliographic authorship is asserted; contribution, leadership and quality are not inferred from author order.
memberships
GV77D4D49A24529029 · Algorithmic
2017–2021
Membership reflects only stable algorithmic co-assignment.
GV31B5D88521798A7D · Algorithmic
2017–2021
Membership reflects only stable algorithmic co-assignment.
Descriptive network metrics
These values describe only the stated projection and filters. They do not measure scientific quality, contribution, supervision or leadership and do not form a ranking.
Publication count
Included works in the projection.
Computation filters
- Performance of 13 crop simulation models: institutional full-text copy
- Performance of 13 crop simulation models: OpenAlex metadata
- MACSUR report metadata and archived external-author record: long-term C/N and crop-growth modelling
- DataCite work metadata for W000284
- Public PUBLISSO repository body for W000284
- Institutional open full text for W000028
- Cambridge publisher page and supplementary figures for W000028
Fractional weighted degree
0.14341919949116352 ·
GP_PP_AB_VERIFIED_ALLSum of fractional edge weights; not a scientific-quality measure.
Computation filters
- Performance of 13 crop simulation models: institutional full-text copy
- Performance of 13 crop simulation models: OpenAlex metadata
- MACSUR report metadata and archived external-author record: long-term C/N and crop-growth modelling
- DataCite work metadata for W000284
- Public PUBLISSO repository body for W000284
- Institutional open full text for W000028
- Cambridge publisher page and supplementary figures for W000028
Works
- Performance of 13 crop simulation models and their ensemble for simulating four field crops in Central Europe
- Modelling long term effects of cropping and managements systems on soil organic matter, C/N dynamics and crop growth
- A Multi-Scale and Multi-Model Gridded Framework for Running Ensemble of Crop Models