Coen P. H. Elemans

2.6k total citations
52 papers, 1.7k citations indexed

About

Coen P. H. Elemans is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Coen P. H. Elemans has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Developmental Biology, 29 papers in Ecology, Evolution, Behavior and Systematics and 29 papers in Ecology. Recurrent topics in Coen P. H. Elemans's work include Animal Vocal Communication and Behavior (38 papers), Marine animal studies overview (24 papers) and Animal Behavior and Reproduction (18 papers). Coen P. H. Elemans is often cited by papers focused on Animal Vocal Communication and Behavior (38 papers), Marine animal studies overview (24 papers) and Animal Behavior and Reproduction (18 papers). Coen P. H. Elemans collaborates with scholars based in Denmark, United States and Netherlands. Coen P. H. Elemans's co-authors include Andrew F. Mead, Lasse Jakobsen, Franz Goller, John M. Ratcliffe, Daniel N. Düring, Lawrence C. Rome, Kyle Srivastava, Bart A. Pannebakker, Benjamin Loppin and Fabrice Vavre and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Coen P. H. Elemans

52 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Coen P. H. Elemans Denmark 23 783 667 664 226 155 52 1.7k
Paul G. McDonald Australia 29 439 0.6× 945 1.4× 949 1.4× 142 0.6× 33 0.2× 135 2.6k
Yossi Yovel Israel 32 1.1k 1.3× 1.8k 2.6× 1.3k 2.0× 144 0.6× 64 0.4× 122 3.5k
Stuart Parsons New Zealand 27 1.1k 1.4× 1.8k 2.7× 1.5k 2.2× 100 0.4× 100 0.6× 105 2.5k
Graham R. Martin United Kingdom 41 398 0.5× 2.1k 3.1× 2.5k 3.8× 433 1.9× 206 1.3× 151 4.6k
Andries Ter Maat Netherlands 28 339 0.4× 823 1.2× 553 0.8× 100 0.4× 18 0.1× 53 1.5k
Ole Næsbye Larsen Denmark 28 1.4k 1.8× 1.4k 2.0× 1.0k 1.5× 18 0.1× 142 0.9× 80 2.3k
Franz Goller United States 37 3.2k 4.1× 3.0k 4.5× 2.3k 3.5× 52 0.2× 329 2.1× 114 4.1k
Todd E. Dennis New Zealand 20 215 0.3× 214 0.3× 904 1.4× 60 0.3× 33 0.2× 44 1.3k
Richard E. Phillips United States 30 421 0.5× 580 0.9× 448 0.7× 249 1.1× 19 0.1× 139 2.6k
Roberto Sacchi Italy 31 451 0.6× 1.8k 2.6× 1.1k 1.6× 178 0.8× 10 0.1× 181 3.0k

Countries citing papers authored by Coen P. H. Elemans

Since Specialization
Citations

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

Fields of papers citing papers by Coen P. H. Elemans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Coen P. H. Elemans. 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 Coen P. H. Elemans. The network helps show where Coen P. H. Elemans may publish in the future.

Co-authorship network of co-authors of Coen P. H. Elemans

This figure shows the co-authorship network connecting the top 25 collaborators of Coen P. H. Elemans. A scholar is included among the top collaborators of Coen P. H. Elemans 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 Coen P. H. Elemans. Coen P. H. Elemans 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.
Christensen‐Dalsgaard, Jakob, et al.. (2025). Zebra finches produce soft laryngeal whistles during thermal panting that are not adaptive vocal signals. Current Biology. 35(20). 5090–5096.e3. 1 indexed citations
2.
Echternach, Matthias, Michael Döllinger, Michael Burdumy, et al.. (2024). Biomechanics of sound production in high-pitched classical singing. Scientific Reports. 14(1). 13132–13132. 4 indexed citations
3.
Elemans, Coen P. H., et al.. (2023). The reconstruction of flows from spatiotemporal data by autoencoders. Chaos Solitons & Fractals. 176. 114115–114115. 3 indexed citations
4.
Liu, Xin‐Yang, et al.. (2023). Predicting 3D soft tissue dynamics from 2D imaging using physics informed neural networks. Communications Biology. 6(1). 541–541. 13 indexed citations
5.
Adam, Iris, et al.. (2023). Daily vocal exercise is necessary for peak performance singing in a songbird. Nature Communications. 14(1). 7787–7787. 10 indexed citations
6.
Yan, J. Stephen, et al.. (2023). A flexible carbon nanotube electrode array for acute in vivo EMG recordings. Journal of Neurophysiology. 129(3). 651–661. 1 indexed citations
7.
Xue, Qian, et al.. (2022). Aerodynamics and motor control of ultrasonic vocalizations for social communication in mice and rats. BMC Biology. 20(1). 3–3. 31 indexed citations
8.
Jakobsen, Lasse, et al.. (2022). Bats expand their vocal range by recruiting different laryngeal structures for echolocation and social communication. PLoS Biology. 20(11). e3001881–e3001881. 15 indexed citations
9.
Adam, Iris, et al.. (2021). One-to-one innervation of vocal muscles allows precise control of birdsong. Current Biology. 31(14). 3115–3124.e5. 13 indexed citations
10.
Rasmussen, Jeppe Have, et al.. (2020). High-fidelity continuum modeling predicts avian voiced sound production. Proceedings of the National Academy of Sciences. 117(9). 4718–4723. 12 indexed citations
11.
Adam, Iris & Coen P. H. Elemans. (2020). Increasing Muscle Speed Drives Changes in the Neuromuscular Transform of Motor Commands during Postnatal Development in Songbirds. Journal of Neuroscience. 40(35). 6722–6731. 8 indexed citations
12.
Adam, Iris & Coen P. H. Elemans. (2019). Vocal Motor Performance in Birdsong Requires Brain–Body Interaction. eNeuro. 6(3). ENEURO.0053–19.2019. 11 indexed citations
13.
Zhang, Yisi, Daniel Y. Takahashi, Diana A. Liao, Asif A. Ghazanfar, & Coen P. H. Elemans. (2019). Vocal state change through laryngeal development. Nature Communications. 10(1). 4592–4592. 36 indexed citations
14.
Rasmussen, Jeppe Have, Christian T. Herbst, & Coen P. H. Elemans. (2018). Quantifying syringeal dynamicsin vitrousing electroglottography. Journal of Experimental Biology. 221(Pt 16). 9 indexed citations
15.
Srivastava, Kyle, et al.. (2017). Motor control by precisely timed spike patterns. Proceedings of the National Academy of Sciences. 114(5). 1171–1176. 72 indexed citations
16.
Mead, Andrew F., Nerea Osinalde, Niels Ørtenblad, et al.. (2017). Fundamental constraints in synchronous muscle limit superfast motor control in vertebrates. eLife. 6. 38 indexed citations
17.
Düring, Daniel N., Benjamin Knörlein, & Coen P. H. Elemans. (2017). In situ vocal fold properties and pitch prediction by dynamic actuation of the songbird syrinx. Scientific Reports. 7(1). 11296–11296. 19 indexed citations
18.
Düring, Daniel N., Alexander Ziegler, Christopher K. Thompson, et al.. (2013). The songbird syrinx morphome: a three-dimensional, high-resolution, interactive morphological map of the zebra finch vocal organ. BMC Biology. 11(1). 1–1. 159 indexed citations
19.
Pannebakker, Bart A., et al.. (2006). Parasitic inhibition of cell death facilitates symbiosis. Proceedings of the National Academy of Sciences. 104(1). 213–215. 137 indexed citations
20.
Elemans, Coen P. H., et al.. (2004). Superfast muscles control dove's trill. Nature. 431(7005). 146–146. 54 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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