Jere Koskela
- Genetics
- Molecular Biology
- Artificial Intelligence
- Nature and Landscape Conservation
- Mathematical Physics
- Co-authors
- Jerome KelleherPaul A. JenkinsGregor GorjancKatrín HalldórsdóttirEinar ÁrnasonYan WongAnthony Wilder WohnsBjarki Eldon
- Topics
- Bayesian Methods and Mixture Models (5 papers)Evolution and Genetic Dynamics (5 papers)Gene expression and cancer classification (5 papers)
- Partner nations
- United KingdomAustraliaGermany
In The Last Decade
Jere Koskela
15 papers receiving 106 citations
Peers
Comparison fields: 5 of 38
- Genetics 84
- Molecular Biology 32
- Artificial Intelligence 19
- Nature and Landscape Conservation 12
- Mathematical Physics 8
Countries citing papers authored by Jere Koskela
This map shows the geographic impact of Jere Koskela'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 Jere Koskela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jere Koskela more than expected).
Fields of papers citing papers by Jere Koskela
This network shows the impact of papers produced by Jere Koskela. 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 Jere Koskela. The network helps show where Jere Koskela may publish in the future.
Co-authorship network of co-authors of Jere Koskela
This figure shows the co-authorship network connecting the top 25 collaborators of Jere Koskela. A scholar is included among the top collaborators of Jere Koskela based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jere Koskela. Jere Koskela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 24 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 15 | |
| 9 | 4 | |
| 10 | Convergence of Bayesian Estimators for Diffusions in Genetics | 1 |
| 11 | 12 | |
| 12 | 16 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | Economically optimized selection index for the Finnish whitefish program | 1 |
About Jere Koskela
Jere Koskela is a scholar working on Genetics, Statistics and Probability and Endocrinology, having authored 15 papers that have together received 109 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (5 papers), Evolution and Genetic Dynamics (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Genetics (84 citations), Nature and Landscape Conservation (12 citations) and Mathematical Physics (8 citations). Jere Koskela has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include Jerome Kelleher, Paul A. Jenkins, Gregor Gorjanc, Katrín Halldórsdóttir, Einar Árnason, Yan Wong, Anthony Wilder Wohns, Bjarki Eldon, David J. Balding and Yao-ban Chan. Their work appears in journals such as Bioinformatics, Genetics and Molecular Biology and Evolution.
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.