Sara Taskinen
Impact in
- Ecological Modeling top 1%
- Species Distribution and Climate Change
-
- Ecology and Vegetation Dynamics Studies
Papers in
-
- Advanced Statistical Methods and Models 23
- Statistical Methods and Bayesian Inference 9
-
- Blind Source Separation Techniques 23
- Co-authors
- David I. Warton (11 shared papers)Daniel S. Falster (1 shared paper)Remko A. Duursma (1 shared paper)Francis K. C. Hui (11 shared papers)Hannu Oja (22 shared papers)Klaus Nordhausen (34 shared papers)Otso Ovaskainen (2 shared papers)Robert B. O’Hara (1 shared paper)
In The Last Decade
Sara Taskinen
67 papers receiving 3.3k citations
Sara Taskinen's Hit Papers
Peers
Comparison fields: 5 of 160
- Ecological Modeling 493
- Nature and Landscape Conservation 1.0k
- Statistics and Probability 314
- Ecology 889
- Ecology, Evolution, Behavior and Systematics 649
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
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | smatr 3– an R package for estimation and inference about allometric lines Hit paper breakdown → | 2011 | 1347 |
| 2 | So Many Variables: Joint Modeling in Community Ecology Hit paper breakdown → | 2015 | 615 |
| 3 | 2014 | 180 | |
| 4 | 2019 | 139 | |
| 5 | 2004 | 91 | |
| 6 | 2017 | 76 | |
| 7 | 2019 | 56 | |
| 8 | 2016 | 52 | |
| 9 | 2017 | 48 | |
| 10 | 2021 | 46 | |
| 11 | 2005 | 45 | |
| 12 | 2015 | 40 | |
| 13 | 2005 | 40 | |
| 14 | 2007 | 31 | |
| 15 | 2007 | 30 | |
| 16 | 2011 | 30 | |
| 17 | 2003 | 30 | |
| 18 | 2015 | 30 | |
| 19 | 2021 | 29 | |
| 20 | 2012 | 29 |
About Sara Taskinen
Sara Taskinen is a scholar working on Statistics and Probability, Signal Processing, Analytical Chemistry, Artificial Intelligence and Nature and Landscape Conservation, having authored 73 papers that have together received 3.4k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (23 papers), Advanced Statistical Methods and Models (23 papers), Spectroscopy and Chemometric Analyses (22 papers), Statistical Methods and Bayesian Inference (9 papers), Species Distribution and Climate Change (7 papers), Ecology and Vegetation Dynamics Studies (6 papers), Genetic and phenotypic traits in livestock (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Ecological Modeling (493 citations), Nature and Landscape Conservation (1.0k citations), Statistics and Probability (314 citations), Ecology (889 citations) and Ecology, Evolution, Behavior and Systematics (649 citations). Sara Taskinen has collaborated with scholars based in Finland, Australia and Austria. Frequent co-authors include David I. Warton, Daniel S. Falster, Remko A. Duursma, Francis K. C. Hui, Hannu Oja, Klaus Nordhausen, Otso Ovaskainen, Robert B. O’Hara, F. Guillaume Blanchet and Steven C. Walker. Their work appears in journals such as Methods in Ecology and Evolution, Journal of Multivariate Analysis, Journal of Time Series Analysis, Journal of Statistical Software and Signal Processing.
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.