Trudie Dockerty

810 citations
14 papers · 570 indexed · h-index 12

Trudie Dockerty

14 papers receiving 524 citations

Peers

Trudie Dockerty
Comparison fields: 5 of 101
  • Agronomy and Crop Science 123
  • Global and Planetary Change 217
  • Ecological Modeling 41
  • General Agricultural and Biological Sciences 57
  • Geography, Planning and Development 37
Replace Gilla Sünnenberg with:
Gilla Sünnenberg United Kingdom
G. Tuck United Kingdom
M. van Eupen Netherlands
Darran King Australia
Zita Izakovičová Slovakia
Susanna Kankaanpää Finland
Iris van Duren Netherlands
Esther S. Parish United States
Birgitta Putzenlechner Germany
Allen C. McBride United States
Trudie Dockerty relative to Gilla Sünnenberg United Kingdom Gilla Sünnenberg's profile →
Citations per field
00.5×1.5×2.0×
Gilla Sünnenberg · 1×
Citations per year

Countries citing papers authored by Trudie Dockerty

Since Specialization
Citations

This map shows the geographic impact of Trudie Dockerty'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 Trudie Dockerty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trudie Dockerty more than expected).

Fields of papers citing papers by Trudie Dockerty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trudie Dockerty. 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 Trudie Dockerty. The network helps show where Trudie Dockerty may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Trudie Dockerty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Trudie Dockerty Line = papers co-authored together Trudie Dockerty links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202041
2 201614
3 20157
4 201355
5 201235
6 201038
7 2009108
8 200723
9 200579
10 200454
11
Review of UK Climate change Indicators
200313
12 200335
13 20035
14 200263

About Trudie Dockerty

Trudie Dockerty is a scholar working on Ecological Modeling, Agronomy and Crop Science, Geography, Planning and Development, Global and Planetary Change and Environmental Chemistry, having authored 14 papers that have together received 570 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (4 papers), Bioenergy crop production and management (4 papers), Forest Biomass Utilization and Management (3 papers), Land Use and Ecosystem Services (3 papers), Forest Management and Policy (3 papers), Geographic Information Systems Studies (2 papers), Soil and Water Nutrient Dynamics (2 papers) and Ecology and Vegetation Dynamics Studies (2 papers). The work is most often cited by research in Agronomy and Crop Science (123 citations), Global and Planetary Change (217 citations), Ecological Modeling (41 citations), General Agricultural and Biological Sciences (57 citations) and Geography, Planning and Development (37 citations). Trudie Dockerty has collaborated with scholars based in United Kingdom and Iraq. Frequent co-authors include Andrew Lovett, Gilla Sünnenberg, Katy Appleton, Andrew R. Watkinson, Martin L. Parry, Jon Finch, A. J. Haughton, A. B. Riche, Rufus B. Sage and A. Karp. Their work appears in journals such as Computers Environment and Urban Systems, Soil and Tillage Research, Agriculture Ecosystems & Environment, Global Environmental Change and Quarterly Journal of Engineering Geology and Hydrogeology.

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.

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