Wouter van der Bijl

1.3k total citations
29 papers, 756 citations indexed

About

Wouter van der Bijl is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Social Psychology. According to data from OpenAlex, Wouter van der Bijl has authored 29 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, Evolution, Behavior and Systematics, 10 papers in Genetics and 9 papers in Social Psychology. Recurrent topics in Wouter van der Bijl's work include Animal Behavior and Reproduction (15 papers), Primate Behavior and Ecology (8 papers) and Genetic diversity and population structure (5 papers). Wouter van der Bijl is often cited by papers focused on Animal Behavior and Reproduction (15 papers), Primate Behavior and Ecology (8 papers) and Genetic diversity and population structure (5 papers). Wouter van der Bijl collaborates with scholars based in Sweden, Canada and United Kingdom. Wouter van der Bijl's co-authors include Niclas Kolm, Alexander Kotrschal, Séverine D. Buechel, Judith E. Mank, Annika Boussard, Christopher W. Wheat, Kara E. Yopak, Masahito Tsuboi, Shaun P. Collin and Johannes Erritzøe and has published in prestigious journals such as Nature, Nature Communications and Evolution.

In The Last Decade

Wouter van der Bijl

27 papers receiving 742 citations

Peers

Wouter van der Bijl

EEBS

ECOLO

GENET

GPC

William L. Allen United Kingdom

Moira J. van Staaden United States

Abigail R. Wark United States

Susanne Zajitschek Australia

Ferran Sayol Spain

Eli M. Swanson United States

Abigél Gonda Finland

Eleanor M. Caves United States

Björn Rogell Sweden

Julia B. Saltz United States

William L. Allen United Kingdom

Wouter van der Bijl

710 ×1.7

EEBS

361 ×1.6

ECOLO

341 ×1.7

252 ×1.3

GENET

272 ×1.9

GPC

Citations per year, relative to Wouter van der Bijl Wouter van der Bijl (= 1×) peers William L. Allen

Countries citing papers authored by Wouter van der Bijl

Since Specialization

Citations

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

Fields of papers citing papers by Wouter van der Bijl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter van der Bijl. 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 Wouter van der Bijl. The network helps show where Wouter van der Bijl may publish in the future.

Co-authorship network of co-authors of Wouter van der Bijl

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

All Works

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20 of 20 papers shown

Bijl, Wouter van der, et al.. (2025). Deep learning reveals the complex genetic architecture of male guppy colouration. Nature Ecology & Evolution. 9(9). 1614–1625. 1 indexed citations

Bijl, Wouter van der & Judith E. Mank. (2024). Hiding in plain sight: the Y chromosome and its reinvigorated role in evolutionary processes. Evolution Letters. 9(2). 165–171. 2 indexed citations

Bijl, Wouter van der, et al.. (2024). Genome-Wide Gene Birth–Death Dynamics Are Associated with Diet Breadth Variation in Lepidoptera. Genome Biology and Evolution. 16(7). 3 indexed citations

Bijl, Wouter van der, Henri G. D. Leuvenink, Jelmer R. Prins, et al.. (2024). Variability in perfusion conditions and set-up parameters used in ex vivo human placenta models: A literature review. Placenta. 157. 37–49.

Corral‐López, Alberto, Natasha I. Bloch, Wouter van der Bijl, et al.. (2023). Functional convergence of genomic and transcriptomic architecture underlies schooling behaviour in a live-bearing fish. Nature Ecology & Evolution. 8(1). 98–110. 3 indexed citations

Darolti, Iulia, et al.. (2023). Extensive variation in germline de novo mutations in Poecilia reticulata. Genome Research. 33(8). 1317–1324. 3 indexed citations

Corral‐López, Alberto, Alexander Kotrschal, James E. Herbert‐Read, et al.. (2023). Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation contexts in guppies. Nature Communications. 14(1). 6027–6027. 4 indexed citations

Thorson, James T. & Wouter van der Bijl. (2023). phylosem: A fast and simple R package for phylogenetic inference and trait imputation using phylogenetic structural equation models. Journal of Evolutionary Biology. 36(10). 1357–1364. 8 indexed citations

Bijl, Wouter van der & Judith E. Mank. (2021). Widespread cryptic variation in genetic architecture between the sexes. Evolution Letters. 5(4). 359–369. 16 indexed citations

10.

Rogell, Björn, Mirjam Amcoff, Alexander Kotrschal, et al.. (2021). Rapid mosaic brain evolution under artificial selection for relative telencephalon size in the guppy ( Poecilia reticulata ). Science Advances. 7(46). eabj4314–eabj4314. 18 indexed citations

11.

Sandkam, Benjamin A., Pedro Almeida, Iulia Darolti, et al.. (2021). Extreme Y chromosome polymorphism corresponds to five male reproductive morphs of a freshwater fish. Nature Ecology & Evolution. 5(7). 939–948. 30 indexed citations

12.

Bijl, Wouter van der, et al.. (2020). Morphology does not covary with predicted behavioral correlations of the domestication syndrome in dogs. Evolution Letters. 4(3). 189–199. 13 indexed citations

13.

Bijl, Wouter van der, et al.. (2019). Macroevolutionary evidence suggests trait‐dependent coevolution between behavior and life‐history. Evolution. 73(11). 2312–2323. 5 indexed citations

14.

Bijl, Wouter van der, et al.. (2019). Dogs, but Not Wolves, Lose Their Sensitivity Toward Novelty With Age. Frontiers in Psychology. 10. 2001–2001. 13 indexed citations

15.

Buechel, Séverine D., Annika Boussard, Alexander Kotrschal, Wouter van der Bijl, & Niclas Kolm. (2018). Brain size affects performance in a reversal-learning test. Proceedings of the Royal Society B Biological Sciences. 285(1871). 20172031–20172031. 96 indexed citations

16.

Tsuboi, Masahito, Wouter van der Bijl, Bjørn Tore Kopperud, et al.. (2018). Breakdown of brain–body allometry and the encephalization of birds and mammals. Nature Ecology & Evolution. 2(9). 1492–1500. 109 indexed citations

17.

Bijl, Wouter van der. (2018). phylopath : Easy phylogenetic path analysis in R. PeerJ. 6. e4718–e4718. 120 indexed citations

18.

Kotrschal, Alexander, Hong-Li Zeng, Wouter van der Bijl, et al.. (2017). Evolution of brain region volumes during artificial selection for relative brain size. Evolution. 71(12). 2942–2951. 27 indexed citations

19.

Bijl, Wouter van der, et al.. (2015). Brain size affects the behavioural response to predators in female guppies (Poecilia reticulata). Proceedings of the Royal Society B Biological Sciences. 282(1812). 20151132–20151132. 66 indexed citations

20.

Bijl, Wouter van der. (1956). The Maximum of a Distribution- or Spectrum-Function. Nature. 178(4535). 691–691. 1 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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