David Pearman
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
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- Ecology and Vegetation Dynamics Studies
- Fish Ecology and Management Studies
Papers in
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- Botany and Plant Ecology Studies 4
- Botany, Ecology, and Taxonomy Studies 4
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- Ecology and Vegetation Dynamics Studies 3
- Forest ecology and management 1
- Co-authors
- Kevin J. Walker (4 shared papers)David G. Noble (2 shared papers)Chris Preston (3 shared papers)Colin Harrower (3 shared papers)Jack Sewell (2 shared papers)Stephanie Rorke (2 shared papers)Andy J. Musgrove (2 shared papers)John Bishop (1 shared paper)
- Journals
- Biological Invasions (1 paper)New Journal of Botany (1 paper)ePrints Soton (University of Southampton) (1 paper)NERC Open Research Archive (Natural Environment Research Council) (1 paper)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
David Pearman
5 papers receiving 57 citations
Peers
Comparison fields: 5 of 16
- Ecological Modeling 31
- Nature and Landscape Conservation 24
- Ecology 44
- Insect Science 12
- Global and Planetary Change 19
Countries citing papers authored by David Pearman
This map shows the geographic impact of David Pearman'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 David Pearman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Pearman more than expected).
Fields of papers citing papers by David Pearman
This network shows the impact of papers produced by David Pearman. 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 David Pearman. The network helps show where David Pearman may publish in the future.
Co-authors
The 25 scholars most cited alongside David Pearman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 43 | |
| 2 | Non-Native Species in Great Britain: establishment, detection and reporting to inform effective decision making | 2012 | 16 |
| 3 | 2016 | 4 | |
| 4 | 50 Years of Mapping the British and Irish Flora 1962-2012 | 2012 | 3 |
| 5 | 2019 | 2 | |
| 6 | 2021 | 1 | |
| 7 | 2025 | 0 |
About David Pearman
David Pearman is a scholar working on Plant Science, Nature and Landscape Conservation, Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 7 papers that have together received 69 indexed citations. Recurring topics across this work include Botany and Plant Ecology Studies (4 papers), Botany, Ecology, and Taxonomy Studies (4 papers), Ecology and Vegetation Dynamics Studies (3 papers), Species Distribution and Climate Change (2 papers), Genetic diversity and population structure (1 paper), Wildlife Ecology and Conservation (1 paper), Forest ecology and management (1 paper) and Plant Ecology and Taxonomy Studies (1 paper). The work is most often cited by research in Ecological Modeling (31 citations), Nature and Landscape Conservation (24 citations), Ecology (44 citations), Insect Science (12 citations) and Global and Planetary Change (19 citations). David Pearman has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Kevin J. Walker, David G. Noble, Chris Preston, Colin Harrower, Jack Sewell, Stephanie Rorke, Andy J. Musgrove, John Bishop, John H. Marchant and Helen E. Roy. Their work appears in journals such as Biological Invasions, New Journal of Botany, ePrints Soton (University of Southampton) and NERC Open Research Archive (Natural Environment Research Council).
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.