Pia Smets
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
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- Forest ecology and management
- Ecology and Vegetation Dynamics Studies
Papers in
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- Ecology and Vegetation Dynamics Studies 3
- Forest ecology and management 2
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- Species Distribution and Climate Change 4
- Co-authors
- Sally N. Aitken (6 shared papers)Andreas Hamann (5 shared papers)Katharina J. Liepe (2 shared papers)Jason A. Holliday (2 shared papers)Kathryn A. Hodgins (2 shared papers)Tongli Wang (3 shared papers)Haktan Suren (2 shared papers)Kristin A. Nurkowski (2 shared papers)
- Journals
- Canadian Journal of Forest Research (1 paper)Global Ecology and Conservation (1 paper)Evolutionary Applications (1 paper)Science (1 paper)Molecular Ecology Resources (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Pia Smets
8 papers receiving 391 citations
Peers
Comparison fields: 5 of 44
- Ecological Modeling 80
- Nature and Landscape Conservation 134
- Genetics 205
- Global and Planetary Change 73
- Ecology 80
Countries citing papers authored by Pia Smets
This map shows the geographic impact of Pia Smets'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 Pia Smets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pia Smets more than expected).
Fields of papers citing papers by Pia Smets
This network shows the impact of papers produced by Pia Smets. 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 Pia Smets. The network helps show where Pia Smets may publish in the future.
Co-authors
The 22 scholars most cited alongside Pia Smets, 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 | 2016 | 230 | |
| 2 | 2016 | 54 | |
| 3 | 2015 | 47 | |
| 4 | 2005 | 27 | |
| 5 | 2017 | 26 | |
| 6 | 2020 | 9 | |
| 7 | Forest tree genetic conservation status report 1: in situ conservation status of all indigenous British Columbia species. | 2009 | 4 |
| 8 | Euphorbia project: renewable energy production through the cultivation and processing of semi arid land biomass in Kenya. | 1985 | 2 |
About Pia Smets
Pia Smets is a scholar working on Nature and Landscape Conservation, Ecological Modeling, Genetics, Plant Science and Molecular Biology, having authored 8 papers that have together received 399 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (4 papers), Ecology and Vegetation Dynamics Studies (3 papers), Forest ecology and management (2 papers), Genetic diversity and population structure (2 papers), Plant Pathogens and Fungal Diseases (1 paper), Genetic and phenotypic traits in livestock (1 paper), Tree-ring climate responses (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Ecological Modeling (80 citations), Nature and Landscape Conservation (134 citations), Genetics (205 citations), Global and Planetary Change (73 citations) and Ecology (80 citations). Pia Smets has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Sally N. Aitken, Andreas Hamann, Katharina J. Liepe, Jason A. Holliday, Kathryn A. Hodgins, Tongli Wang, Haktan Suren, Kristin A. Nurkowski, Loren H. Rieseberg and Sam Yeaman. Their work appears in journals such as Canadian Journal of Forest Research, Global Ecology and Conservation, Evolutionary Applications, Science and Molecular Ecology Resources.
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.