Jonas Knape

2.0k total citations
64 papers, 1.4k citations indexed

About

Jonas Knape is a scholar working on Ecology, Nature and Landscape Conservation and Ecological Modeling. According to data from OpenAlex, Jonas Knape has authored 64 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Ecology, 31 papers in Nature and Landscape Conservation and 24 papers in Ecological Modeling. Recurrent topics in Jonas Knape's work include Ecology and Vegetation Dynamics Studies (27 papers), Species Distribution and Climate Change (24 papers) and Wildlife Ecology and Conservation (21 papers). Jonas Knape is often cited by papers focused on Ecology and Vegetation Dynamics Studies (27 papers), Species Distribution and Climate Change (24 papers) and Wildlife Ecology and Conservation (21 papers). Jonas Knape collaborates with scholars based in Sweden, United States and Poland. Jonas Knape's co-authors include Perry de Valpine, Tomas Pärt, Debora Arlt, Niclas Jonzén, Andreas Lindén, Mathieu Chevalier, Martin Sköld, Fränzi Korner‐Nievergelt, Åke Berg and Michał Żmihorski and has published in prestigious journals such as Ecology, Biometrics and Global Change Biology.

In The Last Decade

Jonas Knape

63 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonas Knape Sweden 23 885 510 445 331 273 64 1.4k
Kathryn M. Irvine United States 22 749 0.8× 357 0.7× 350 0.8× 258 0.8× 331 1.2× 68 1.2k
Andreas Lindén Finland 21 1.2k 1.4× 603 1.2× 703 1.6× 512 1.5× 426 1.6× 66 1.9k
Krishna Pacifici United States 17 837 0.9× 425 0.8× 546 1.2× 194 0.6× 146 0.5× 69 1.4k
Péter Sólymos Canada 26 1.2k 1.3× 590 1.2× 699 1.6× 517 1.6× 276 1.0× 72 1.9k
Tanya M. Shenk United States 19 981 1.1× 379 0.7× 273 0.6× 325 1.0× 163 0.6× 34 1.3k
Sarah P. Saunders United States 19 646 0.7× 328 0.6× 414 0.9× 231 0.7× 226 0.8× 42 982
Sharon L. Hedley United Kingdom 12 2.1k 2.4× 572 1.1× 413 0.9× 660 2.0× 270 1.0× 16 2.6k
Jakub Stoklosa Australia 15 509 0.6× 326 0.6× 263 0.6× 167 0.5× 262 1.0× 40 1.1k
Devin S. Johnson United States 30 2.0k 2.3× 656 1.3× 644 1.4× 513 1.5× 292 1.1× 90 2.6k
Jonathan Bart United States 24 1.8k 2.0× 697 1.4× 551 1.2× 536 1.6× 304 1.1× 78 2.3k

Countries citing papers authored by Jonas Knape

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Knape

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Knape

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

All Works

20 of 20 papers shown
1.
Schroeder, Martin, Jonas Knape, & Simon Kärvemo. (2025). Rise and fall of a spruce bark beetle outbreak – Importance of colonisation density and reproductive success. Forest Ecology and Management. 586. 122695–122695. 1 indexed citations
2.
Knape, Jonas. (2025). Spatially varying population indices. Ecological Indicators. 174. 113435–113435.
3.
Pärt, Tomas, Matthieu Paquet, Debora Arlt, et al.. (2024). Unclear relationships between mean survival rate and its environmental variance in vertebrates. Ecology and Evolution. 14(3). e11104–e11104. 1 indexed citations
4.
Auffret, Alistair G., Emma Ladouceur, Natalie S. Haussmann, et al.. (2024). A global database of soil seed bank richness, density, and abundance. Ecology. 105(11). e4438–e4438. 2 indexed citations
5.
Ålund, Murielle, S. Eryn McFarlane, Arild Husby, et al.. (2024). Inheritance of Material Wealth in a Natural Population. Ecology Letters. 27(12). e14505–e14505. 1 indexed citations
6.
Knape, Jonas, et al.. (2023). Partitioning variance in population growth for models with environmental and demographic stochasticity. Journal of Animal Ecology. 92(10). 1979–1991. 3 indexed citations
7.
Rigal, Stanislas & Jonas Knape. (2023). A toolbox to explore the composition of species dynamics behind multi‐species indices. Methods in Ecology and Evolution. 14(7). 1821–1832. 1 indexed citations
8.
Paquet, Matthieu, Jonas Knape, Debora Arlt, et al.. (2021). Integrated population models poorly estimate the demographic contribution of immigration. Methods in Ecology and Evolution. 12(10). 1899–1910. 21 indexed citations
9.
Knape, Jonas, Stephen J. Coulson, René van der Wal, & Debora Arlt. (2021). Temporal trends in opportunistic citizen science reports across multiple taxa. AMBIO. 51(1). 183–198. 26 indexed citations
10.
Knape, Jonas, Debora Arlt, Frédéric Barraquand, et al.. (2018). Sensitivity of binomial N‐mixture models to overdispersion: The importance of assessing model fit. Methods in Ecology and Evolution. 9(10). 2102–2114. 54 indexed citations
11.
Knape, Jonas, et al.. (2018). The colour of environmental fluctuations associated with terrestrial animal population dynamics. Global Ecology and Biogeography. 28(2). 118–130. 6 indexed citations
12.
Sköld, Martin & Jonas Knape. (2018). Bounding reproductive rates in state‐space models for animal population dynamics. Ecosphere. 9(5). 1 indexed citations
13.
Pärt, Tomas, et al.. (2017). Disentangling the effects of date, individual, and territory quality on the seasonal decline in fitness. Ecology. 98(8). 2102–2110. 19 indexed citations
14.
Pertoldi, Cino, Søren Faurby, David H. Reed, et al.. (2014). Scaling of the mean and variance of population dynamics under fluctuating regimes. Theory in Biosciences. 133(3-4). 165–173. 6 indexed citations
15.
Knape, Jonas, Panagiotis Besbeas, & Perry de Valpine. (2013). Using uncertainty estimates in analyses of population time series. Ecology. 94(9). 2097–2107. 19 indexed citations
16.
Knape, Jonas & Perry de Valpine. (2011). Are patterns of density dependence in the Global Population Dynamics Database driven by uncertainty about population abundance?. Ecology Letters. 15(1). 17–23. 119 indexed citations
17.
Knape, Jonas, Niclas Jonzén, & Martin Sköld. (2011). On observation distributions for state space models of population survey data. Journal of Animal Ecology. 80(6). 1269–1277. 33 indexed citations
18.
Knape, Jonas & Perry de Valpine. (2010). Effects of weather and climate on the dynamics of animal population time series. Proceedings of the Royal Society B Biological Sciences. 278(1708). 985–992. 87 indexed citations
19.
Knape, Jonas, Niclas Jonzén, Martin Sköld, Jiro Kikkawa, & Hamish McCallum. (2010). Individual heterogeneity and senescence in Silvereyes on Heron Island. Ecology. 92(4). 813–820. 23 indexed citations
20.
Jonzén, Niclas, et al.. (2009). Stochastic demography and population dynamics in the red kangaroo Macropus rufus. Journal of Animal Ecology. 79(1). 109–116. 39 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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