Sara Taskinen
Impact in
- Ecological Modeling top 1%
- Species Distribution and Climate Change
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- Ecology and Vegetation Dynamics Studies
Papers in
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- Blind Source Separation Techniques 22
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- Advanced Statistical Methods and Models 14
- Statistical Methods and Bayesian Inference 5
- Co-authors
- David I. WartonDaniel S. FalsterRemko A. DuursmaFrancis K. C. HuiHannu OjaKlaus NordhausenRobert B. O’HaraF. Guillaume Blanchet
In The Last Decade
Sara Taskinen
53 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Ecological Modeling 474
- Nature and Landscape Conservation 998
- Ecology, Evolution, Behavior and Systematics 664
- Ecology 860
- Global and Planetary Change 708
Countries citing papers authored by Sara Taskinen
This map shows the geographic impact of Sara Taskinen'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 Sara Taskinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Taskinen more than expected).
Fields of papers citing papers by Sara Taskinen
This network shows the impact of papers produced by Sara Taskinen. 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 Sara Taskinen. The network helps show where Sara Taskinen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Taskinen, 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 | 2026 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 6 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 42 | |
| 10 | 2017 | 9 | |
| 11 | 2017 | 69 | |
| 12 | 2016 | 10 | |
| 13 | So Many Variables: Joint Modeling in Community Ecology Hit paper breakdown → | 2015 | 578 |
| 14 | 2013 | 20 | |
| 15 | 2013 | 16 | |
| 16 | 2012 | 17 | |
| 17 | 2011 | 30 | |
| 18 | 2007 | 27 | |
| 19 | 2005 | 37 | |
| 20 | 2004 | 89 |
About Sara Taskinen
Sara Taskinen is a scholar working on Signal Processing, Statistics and Probability, Analytical Chemistry, Computational Mathematics and Ecological Modeling, having authored 57 papers that have together received 3.1k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (22 papers), Spectroscopy and Chemometric Analyses (18 papers), Advanced Statistical Methods and Models (14 papers), Species Distribution and Climate Change (7 papers), Ecology and Vegetation Dynamics Studies (6 papers), Morphological variations and asymmetry (5 papers), Statistical Methods and Bayesian Inference (5 papers) and Genetic and phenotypic traits in livestock (5 papers). The work is most often cited by research in Ecological Modeling (474 citations), Nature and Landscape Conservation (998 citations), Ecology, Evolution, Behavior and Systematics (664 citations), Ecology (860 citations) and Global and Planetary Change (708 citations). Sara Taskinen has collaborated with scholars based in Finland, Australia and Germany. Frequent co-authors include David I. Warton, Daniel S. Falster, Remko A. Duursma, Francis K. C. Hui, Hannu Oja, Klaus Nordhausen, Robert B. O’Hara, F. Guillaume Blanchet, Otso Ovaskainen and Steven C. Walker. Their work appears in journals such as Methods in Ecology and Evolution, Journal of Multivariate Analysis, Wiley Interdisciplinary Reviews Computational Statistics, Journal of Statistical Software and Journal of Time Series Analysis.
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.