S. J. Welham
About
In The Last Decade
S. J. Welham
90 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 161
- Plant Science 1.7k
- Genetics 420
- Ecology, Evolution, Behavior and Systematics 418
- Agronomy and Crop Science 400
- Cell Biology 357
Countries citing papers authored by S. J. Welham
This map shows the geographic impact of S. J. Welham's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. J. Welham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. J. Welham more than expected).
Fields of papers citing papers by S. J. Welham
This network shows the impact of papers produced by S. J. Welham. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. J. Welham. The network helps show where S. J. Welham may publish in the future.
Co-authorship network of co-authors of S. J. Welham
This figure shows the co-authorship network connecting the top 25 collaborators of S. J. Welham. A scholar is included among the top collaborators of S. J. Welham based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. J. Welham. S. J. Welham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 12 | |
| 3 | Controlling for competition in neighbouring field plots in a willow (Salix spp.) trial | 1 |
| 4 | Use of risk prediction models for integrated control of diseases of oilseed rape in the UK | 1 |
| 5 | 19 | |
| 6 | ASREML estimates variance matrices from multivariate data using the animal model | 5 |
| 7 | REML analysis of mixed models | 38 |
| 8 | Improving and exploiting self-defence against wheat diseases | 4 |
| 9 | Sampling winter oilseed rape crops to assess incidence of light leaf spot (Pyrenopeziza brassicae ) in the UK | 8 |
| 10 | Epidemiology, forecasting and management of winter oilseed rape diseases in the UK | 2 |
| 11 | Modelling the progress of light leaf spot (Pyrenopeziza brassicae ) on winter oilseed rape (Brassica napus) in relation to weather criteria | 2 |
| 12 | Yield loss of winter oilseed rape in relation to severity of stem canker (Leptosphaeria maculans ) in the UK | 2 |
| 13 | Investigating the horizontal spatial spread of light leaf spot (Pyrenopeziza brassicae ) of winter oilseed rape in the UK | 4 |
| 14 | Relationships between regional weather and incidence of light leaf spot (Pyrenopeziza brassicae ) on winter oilseed rape in England and Wales | 7 |
| 15 | Development and control of light leaf spot (Pyrenopeziza brassicae ) epidemics in winter oilseed rape in the UK | 2 |
| 16 | Prospects for developing a forecasting scheme to optimise use of fungicides for disease control on winter oilseed rape in the UK | 50 |
| 17 | Efficient analysis of field experiments using two-dimensional spatial models | 2 |
| 18 | Economic and statistical considerations in the measurement of total factor productivity (TFP) | 5 |
| 19 | Forecasting development of light leaf spot (Pyrenopeziza brassicae) epidemics on winter oilseed rape | 3 |
| 20 | Comparisons of some GLMM estimators for a simple binomial model | 7 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.