Jenni Niku

464 total citations
13 papers, 264 citations indexed

About

Jenni Niku is a scholar working on Artificial Intelligence, Ecological Modeling and Genetics. According to data from OpenAlex, Jenni Niku has authored 13 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Ecological Modeling and 4 papers in Genetics. Recurrent topics in Jenni Niku's work include Species Distribution and Climate Change (4 papers), Genetic and phenotypic traits in livestock (4 papers) and Bayesian Methods and Mixture Models (3 papers). Jenni Niku is often cited by papers focused on Species Distribution and Climate Change (4 papers), Genetic and phenotypic traits in livestock (4 papers) and Bayesian Methods and Mixture Models (3 papers). Jenni Niku collaborates with scholars based in Finland, Australia and Sweden. Jenni Niku's co-authors include Sara Taskinen, Francis K. C. Hui, David I. Warton, Harri Högmander, Kaisu Aapala, Kristian Meissner, Jari Haimi, Nerea Abrego, Merja Elo and Janne S. Kotiaho and has published in prestigious journals such as PLoS ONE, Molecular Ecology and Methods in Ecology and Evolution.

In The Last Decade

Jenni Niku

11 papers receiving 262 citations

Peers

Jenni Niku
L. Ginzburg United States
Harri Högmander Finland
Eleni Matechou United Kingdom
Suchinta Arif Canada
Justine Murray Australia
Amiya Ranjan Bhowmick India
Megan D. Higgs United States
John Tipton United States
John J. Borkowski United States
János Izsák Hungary
L. Ginzburg United States
Jenni Niku
Citations per year, relative to Jenni Niku Jenni Niku (= 1×) peers L. Ginzburg

Countries citing papers authored by Jenni Niku

Since Specialization
Citations

This map shows the geographic impact of Jenni Niku'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 Jenni Niku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenni Niku more than expected).

Fields of papers citing papers by Jenni Niku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenni Niku. 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 Jenni Niku. The network helps show where Jenni Niku may publish in the future.

Co-authorship network of co-authors of Jenni Niku

This figure shows the co-authorship network connecting the top 25 collaborators of Jenni Niku. A scholar is included among the top collaborators of Jenni Niku 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 Jenni Niku. Jenni Niku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Ovaskainen, Otso, Brendan Furneaux, Janne Purhonen, et al.. (2025). Wind Is a Primary Driver of Fungal Dispersal Across a Mainland‐Island System. Molecular Ecology. 34(5). e17675–e17675.
2.
Niku, Jenni, Tuija M. Mikkola, Davide Liborio Vetrano, et al.. (2025). Observed and hidden factors underlying the accumulation of chronic diseases across eight major organ systems: a longitudinal birth cohort study. The Lancet Healthy Longevity. 6(5). 100710–100710. 3 indexed citations
3.
4.
Elo, Merja, Santtu Kareksela, Otso Ovaskainen, et al.. (2024). Restoration of forestry-drained boreal peatland ecosystems can effectively stop and reverse ecosystem degradation. Communications Earth & Environment. 5(1). 680–680. 4 indexed citations
5.
Hui, Francis K. C., et al.. (2024). A comparison of joint species distribution models for percent cover data. Methods in Ecology and Evolution. 15(12). 2359–2372. 3 indexed citations
6.
Hui, Francis K. C., et al.. (2022). Fast and universal estimation of latent variable models using extended variational approximations. Statistics and Computing. 33(1). 5 indexed citations
7.
Niku, Jenni, Francis K. C. Hui, Sara Taskinen, & David I. Warton. (2021). Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models. Environmetrics. 32(6). 15 indexed citations
8.
Niku, Jenni, et al.. (2021). Generalized Linear Latent Variable Models [R package gllvm version 1.3.1]. 2 indexed citations
9.
Niku, Jenni. (2020). On modeling multivariate abundance data with generalized linear latent variable models. Jyväskylä University Digital Archive (University of Jyväskylä). 1 indexed citations
10.
Niku, Jenni, et al.. (2019). Efficient estimation of generalized linear latent variable models. PLoS ONE. 14(5). e0216129–e0216129. 52 indexed citations
11.
Niku, Jenni, Francis K. C. Hui, Sara Taskinen, & David I. Warton. (2019). gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models in r. Methods in Ecology and Evolution. 10(12). 2173–2182. 132 indexed citations
12.
Haimi, Jari, et al.. (2018). Testate amoebae community analysis as a tool to assess biological impacts of peatland use. Wetlands Ecology and Management. 26(4). 597–611. 3 indexed citations
13.
Niku, Jenni, David I. Warton, Francis K. C. Hui, & Sara Taskinen. (2017). Generalized Linear Latent Variable Models for Multivariate Count and Biomass Data in Ecology. Journal of Agricultural Biological and Environmental Statistics. 22(4). 498–522. 44 indexed citations

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.

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2026