David Reby

7.3k total citations
140 papers, 5.0k citations indexed

About

David Reby is a scholar working on Developmental Biology, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David Reby has authored 140 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Developmental Biology, 57 papers in Ecology and 35 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David Reby's work include Animal Vocal Communication and Behavior (108 papers), Marine animal studies overview (44 papers) and Animal Behavior and Reproduction (33 papers). David Reby is often cited by papers focused on Animal Vocal Communication and Behavior (108 papers), Marine animal studies overview (44 papers) and Animal Behavior and Reproduction (33 papers). David Reby collaborates with scholars based in United Kingdom, France and United States. David Reby's co-authors include Karen McComb, Benjamin D. Charlton, W. Tecumseh Fitch, Angela M. Taylor, Katarzyna Pisanski, Bruno Cargnelutti, Valentina Cartei, Nicolas Mathevon, Anna M. Taylor and Leanne Proops and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

David Reby

137 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Reby United Kingdom 38 3.3k 1.9k 1.6k 1.0k 802 140 5.0k
Karen McComb United Kingdom 40 2.7k 0.8× 2.3k 1.2× 2.5k 1.5× 565 0.6× 1.6k 2.0× 62 5.8k
Drew Rendall Canada 33 2.3k 0.7× 863 0.4× 1.5k 0.9× 1.1k 1.1× 1.6k 2.0× 71 4.0k
Michael J. Owren United States 35 2.0k 0.6× 707 0.4× 906 0.6× 1.2k 1.2× 1.5k 1.9× 78 4.1k
Marta B. Manser Switzerland 37 2.2k 0.7× 2.1k 1.1× 3.2k 2.0× 310 0.3× 1.5k 1.9× 134 5.1k
Klaus Zuberbühler United Kingdom 58 6.8k 2.1× 1.9k 1.0× 4.2k 2.5× 1.5k 1.5× 6.7k 8.4× 294 11.5k
Marco Gamba Italy 25 1.4k 0.4× 965 0.5× 1.4k 0.8× 200 0.2× 1.2k 1.4× 119 3.7k
Alban Lemasson France 33 2.1k 0.6× 684 0.4× 1.1k 0.7× 308 0.3× 1.5k 1.8× 143 3.2k
Roger Mundry Germany 43 2.1k 0.6× 1.8k 0.9× 2.2k 1.3× 618 0.6× 3.0k 3.7× 163 5.8k
Carel ten Cate Netherlands 44 3.5k 1.1× 2.7k 1.4× 3.3k 2.0× 398 0.4× 536 0.7× 153 6.0k
Eugene S. Morton United States 36 3.1k 0.9× 3.4k 1.8× 4.1k 2.5× 326 0.3× 488 0.6× 109 6.0k

Countries citing papers authored by David Reby

Since Specialization
Citations

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

Fields of papers citing papers by David Reby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Reby

This figure shows the co-authorship network connecting the top 25 collaborators of David Reby. A scholar is included among the top collaborators of David Reby 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 David Reby. David Reby 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.
Peyron, Roland, et al.. (2025). Old but attuned: the ability to decode babies’ cries does not decline with age. Biology Letters. 21(2). 20240667–20240667. 1 indexed citations
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Zanoli, Anna, et al.. (2024). Acoustic cues to development of African Penguins (Spheniscus demersus) begging calls. Ibis. 167(1). 286–294. 1 indexed citations
5.
Pisanski, Katarzyna, et al.. (2024). Puppy whines mediate maternal behavior in domestic dogs. Proceedings of the National Academy of Sciences. 121(22). e2316818121–e2316818121. 3 indexed citations
6.
Favaro, Livio, Anna Zanoli, Katrin Ludynia, et al.. (2023). Vocal tract shape variation contributes to individual vocal identity in African penguins. Proceedings of the Royal Society B Biological Sciences. 290(2008). 20231029–20231029. 4 indexed citations
7.
Root‐Gutteridge, Holly, et al.. (2023). The Puss in Boots effect. Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems. 24(1). 48–65. 1 indexed citations
8.
Anikin, Andrey, Katarzyna Pisanski, Florence Levréro, et al.. (2023). Infant cries convey both stable and dynamic information about age and identity. Communications Psychology. 1(1). 26–26. 10 indexed citations
9.
Anikin, Andrey, Santiago Barreda, & David Reby. (2023). A practical guide to calculating vocal tract length and scale-invariant formant patterns. Behavior Research Methods. 56(6). 5588–5604. 9 indexed citations
10.
Friard, Olivier, Marco Gamba, Katrin Ludynia, et al.. (2023). Effect of Environmental Variables on African Penguin Vocal Activity: Implications for Acoustic Censusing. Biology. 12(9). 1191–1191. 4 indexed citations
11.
Anikin, Andrey, et al.. (2023). Beyond speech: Exploring diversity in the human voice. iScience. 26(11). 108204–108204. 16 indexed citations
12.
Pisanski, Katarzyna, et al.. (2022). Form follows function in human nonverbal vocalisations. Ethology Ecology & Evolution. 34(3). 303–321. 27 indexed citations
13.
Frey, Roland, et al.. (2021). Roars, groans and moans: Anatomical correlates of vocal diversity in polygynous deer. Journal of Anatomy. 239(6). 1336–1369. 3 indexed citations
14.
Kleisner, Karel, Juan David Leongómez, Katarzyna Pisanski, et al.. (2021). Predicting strength from aggressive vocalizations versus speech in African bushland and urban communities. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1840). 20200403–20200403. 14 indexed citations
15.
Cartei, Valentina, Jane Oakhill, Alan Garnham, Robin Banerjee, & David Reby. (2021). Voice Cues Influence Children’s Assessment of Adults’ Occupational Competence. Journal of Nonverbal Behavior. 45(2). 281–296. 2 indexed citations
16.
Favaro, Livio, et al.. (2020). Do penguins’ vocal sequences conform to linguistic laws?. Biology Letters. 16(2). 20190589–20190589. 35 indexed citations
17.
Garnham, Alan, et al.. (2019). Children can control the expression of masculinity and femininity through the voice. Royal Society Open Science. 6(7). 190656–190656. 21 indexed citations
18.
Green, Alexandra, Cameron Clark, Livio Favaro, Sabrina Lomax, & David Reby. (2019). Vocal individuality of Holstein-Friesian cattle is maintained across putatively positive and negative farming contexts. Scientific Reports. 9(1). 18468–18468. 38 indexed citations
19.
Frey, Roland, David Reby, Guido Fritsch, & Benjamin D. Charlton. (2018). The remarkable vocal anatomy of the koala (Phascolarctos cinereus): insights into low‐frequency sound production in a marsupial species. Journal of Anatomy. 232(4). 575–595. 10 indexed citations
20.
Reby, David, Megan T. Wyman, Roland Frey, et al.. (2018). Vocal tract modelling in fallow deer: are male groans nasalized?. Journal of Experimental Biology. 221(Pt 17). 12 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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