Timo Knürr
Impact in
- Ecological Modeling top 2%
- Species Distribution and Climate Change
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- Ecology and Vegetation Dynamics Studies
- Forest ecology and management
Papers in
- Genetics 9
- Genetic and phenotypic traits in livestock 7
- Genetic Mapping and Diversity in Plants and Animals 5
- Genetic diversity and population structure 3
- Evolution and Genetic Dynamics 2
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- Genetics and Plant Breeding 4
- Co-authors
- Outi Savolainen (5 shared papers)Tanja Pyhäjärvi (4 shared papers)María Rosario García‐Gil (2 shared papers)Witold Wachowiak (2 shared papers)Merja Mikkonen (1 shared paper)Mikko J. Sillanpää (4 shared papers)Katri Kärkkäinen (3 shared papers)Sonja T. Kujala (2 shared papers)
In The Last Decade
Timo Knürr
12 papers receiving 1.2k citations
Timo Knürr's Hit Papers
Peers
Comparison fields: 5 of 53
- Ecological Modeling 233
- Nature and Landscape Conservation 486
- Genetics 525
- Ecology, Evolution, Behavior and Systematics 273
- Global and Planetary Change 274
Countries citing papers authored by Timo Knürr
This map shows the geographic impact of Timo Knürr'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 Timo Knürr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Knürr more than expected).
Fields of papers citing papers by Timo Knürr
This network shows the impact of papers produced by Timo Knürr. 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 Timo Knürr. The network helps show where Timo Knürr may publish in the future.
Co-authors
The 25 scholars most cited alongside Timo Knürr, 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 | Gene Flow and Local Adaptation in Trees Hit paper breakdown → | 2007 | 902 |
| 2 | 2007 | 144 | |
| 3 | 2011 | 55 | |
| 4 | 2011 | 26 | |
| 5 | 2016 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2011 | 15 | |
| 8 | 2013 | 11 | |
| 9 | Adaptation of forest trees to climate change | 2007 | 7 |
| 10 | Single Step Evaluations using Haplotype Segments | 2013 | 6 |
| 11 | Comparison of Model Reliabilities from Single-Step and Bivariate Blending Methods | 2013 | 4 |
| 12 | 2014 | 1 |
About Timo Knürr
Timo Knürr is a scholar working on Genetics, Plant Science, Nature and Landscape Conservation, Civil and Structural Engineering and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (7 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetics and Plant Breeding (4 papers), Genetic diversity and population structure (3 papers), Evolution and Genetic Dynamics (2 papers), Species Distribution and Climate Change (1 paper), Structural Health Monitoring Techniques (1 paper) and Plant and animal studies (1 paper). The work is most often cited by research in Ecological Modeling (233 citations), Nature and Landscape Conservation (486 citations), Genetics (525 citations), Ecology, Evolution, Behavior and Systematics (273 citations) and Global and Planetary Change (274 citations). Timo Knürr has collaborated with scholars based in Finland, Denmark and Sweden. Frequent co-authors include Outi Savolainen, Tanja Pyhäjärvi, María Rosario García‐Gil, Witold Wachowiak, Merja Mikkonen, Mikko J. Sillanpää, Katri Kärkkäinen, Sonja T. Kujala, Esa Läärä and Komlan Avia. Their work appears in journals such as Heredity, Genetics Research, Plant Breeding, Genetics and Journal of Heredity.
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.