Naomi E. Langmore

5.9k total citations · 1 hit paper
117 papers, 4.4k citations indexed

About

Naomi E. Langmore is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology and Developmental Biology. According to data from OpenAlex, Naomi E. Langmore has authored 117 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Ecology, Evolution, Behavior and Systematics, 78 papers in Ecology and 41 papers in Developmental Biology. Recurrent topics in Naomi E. Langmore's work include Animal Behavior and Reproduction (65 papers), Plant and animal studies (60 papers) and Avian ecology and behavior (58 papers). Naomi E. Langmore is often cited by papers focused on Animal Behavior and Reproduction (65 papers), Plant and animal studies (60 papers) and Avian ecology and behavior (58 papers). Naomi E. Langmore collaborates with scholars based in Australia, United Kingdom and United States. Naomi E. Langmore's co-authors include Rebecca M. Kilner, William E. Feeney, Raoul A. Mulder, Michelle L. Hall, Sarah Hunt, Andrew Cockburn, Iliana Medina, Robert Heinsohn, Justin A. Welbergen and Karan J. Odom and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Naomi E. Langmore

111 papers receiving 4.2k citations

Hit Papers

Female song is widespread and ancestral in songbirds 2014 2026 2018 2022 2014 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naomi E. Langmore Australia 37 3.5k 2.6k 1.7k 654 426 117 4.4k
Robert D. Magrath Australia 40 4.4k 1.3× 3.7k 1.4× 2.1k 1.3× 657 1.0× 377 0.9× 104 5.7k
Kees van Oers Netherlands 41 4.6k 1.3× 2.5k 1.0× 1.0k 0.6× 1.3k 2.0× 363 0.9× 134 6.5k
Nancy Tyler Burley United States 33 3.9k 1.1× 2.2k 0.9× 707 0.4× 686 1.0× 248 0.6× 62 4.8k
Stephen I. Rothstein United States 38 3.0k 0.9× 4.8k 1.8× 1.1k 0.7× 656 1.0× 945 2.2× 122 6.1k
Rebecca J. Safran United States 38 2.9k 0.8× 1.8k 0.7× 626 0.4× 1.3k 2.0× 162 0.4× 116 4.4k
Timothy F. Wright United States 31 1.7k 0.5× 1.4k 0.5× 1.2k 0.7× 669 1.0× 129 0.3× 87 3.1k
Eugene S. Morton United States 36 4.1k 1.2× 3.4k 1.3× 3.1k 1.9× 490 0.7× 245 0.6× 109 6.0k
Rebecca M. Kilner United Kingdom 43 4.4k 1.3× 3.4k 1.3× 934 0.6× 1.3k 1.9× 736 1.7× 124 6.0k
János Török Hungary 39 3.0k 0.9× 2.3k 0.9× 509 0.3× 704 1.1× 504 1.2× 155 4.2k
Manuel Soler Spain 42 3.5k 1.0× 4.0k 1.5× 446 0.3× 919 1.4× 1.3k 3.1× 179 5.7k

Countries citing papers authored by Naomi E. Langmore

Since Specialization
Citations

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

Fields of papers citing papers by Naomi E. Langmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naomi E. Langmore. 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 Naomi E. Langmore. The network helps show where Naomi E. Langmore may publish in the future.

Co-authorship network of co-authors of Naomi E. Langmore

This figure shows the co-authorship network connecting the top 25 collaborators of Naomi E. Langmore. A scholar is included among the top collaborators of Naomi E. Langmore 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 Naomi E. Langmore. Naomi E. Langmore 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.
Anderson, Michael G., et al.. (2025). Begging call mimicry and formation of host-specific lineages in the shining bronze-cuckoo, Chalcites lucidus. Animal Behaviour. 221. 123083–123083.
2.
Odom, Karan J., Marcelo Araya‐Salas, Lauryn Benedict, et al.. (2025). Global incidence of female birdsong is predicted by territoriality and biparental care in songbirds. Nature Communications. 16(1). 6157–6157. 1 indexed citations
3.
Crates, Ross, et al.. (2025). Conserving avian vocal culture. Philosophical Transactions of the Royal Society B Biological Sciences. 380(1925). 20240139–20240139. 5 indexed citations
5.
Langmore, Naomi E., et al.. (2024). Frequency-dependence may moderate fitness costs linked to reduced bird song complexity. Royal Society Open Science. 11(10). 240766–240766. 2 indexed citations
6.
Banks, Sam C., et al.. (2023). Using conservation genetics to prioritise management options for an endangered songbird. Heredity. 130(5). 289–301. 9 indexed citations
7.
Holleley, Clare E., et al.. (2022). Thicker eggshells are not predicted by host egg ejection behaviour in four species of Australian cuckoo. Scientific Reports. 12(1). 6320–6320. 2 indexed citations
8.
Odom, Karan J., Kristal E. Cain, Michelle L. Hall, et al.. (2021). Sex role similarity and sexual selection predict male and female song elaboration and dimorphism in fairy‐wrens. Ecology and Evolution. 11(24). 17901–17919. 14 indexed citations
9.
Crates, Ross, Naomi E. Langmore, Louis Ranjard, et al.. (2021). Loss of vocal culture and fitness costs in a critically endangered songbird. Proceedings of the Royal Society B Biological Sciences. 288(1947). 20210225–20210225. 46 indexed citations
10.
Fossøy, Frode, Bård G. Stokke, Sajeda Begum, et al.. (2021). No evidence of host-specific egg mimicry in Asian koels. PLoS ONE. 16(7). e0253985–e0253985. 4 indexed citations
11.
Grealy, Alicia, Naomi E. Langmore, Leo Joseph, & Clare E. Holleley. (2021). Genetic barcoding of museum eggshell improves data integrity of avian biological collections. Scientific Reports. 11(1). 1605–1605. 8 indexed citations
12.
Langmore, Naomi E.. (2020). Female birdsong. Current Biology. 30(14). R789–R790. 3 indexed citations
13.
Hall, Michelle, et al.. (2019). Data from: A superb solo, or a deviant duet? Overlapping songs in superb fairy-wrens. Data Archiving and Networked Services (DANS). 1 indexed citations
14.
Heinsohn, Robert, Christina N. Zdenek, Ross B. Cunningham, John A. Endler, & Naomi E. Langmore. (2017). Tool-assisted rhythmic drumming in palm cockatoos shares key elements of human instrumental music. Science Advances. 3(6). e1602399–e1602399. 47 indexed citations
15.
Medina, Iliana, Kaspar Delhey, Anne Peters, et al.. (2017). Habitat structure is linked to the evolution of plumage colour in female, but not male, fairy-wrens. BMC Evolutionary Biology. 17(1). 35–35. 26 indexed citations
16.
Langmore, Naomi E., et al.. (2016). Variation in the Male Whip-crack of the Eastern Whipbird Psophodes olivaceus. Australian field ornithology. 14(3).
17.
Medina, Iliana & Naomi E. Langmore. (2015). Coevolution is linked with phenotypic diversification but not speciation in avian brood parasites. Proceedings of the Royal Society B Biological Sciences. 282(1821). 20152056–20152056. 14 indexed citations
18.
Odom, Karan J., Michelle L. Hall, Katharina Riebel, Kevin E. Omland, & Naomi E. Langmore. (2014). Female song is widespread and ancestral in songbirds. Nature Communications. 5(1). 3379–3379. 286 indexed citations breakdown →
19.
Joseph, Leo, et al.. (2011). Phylogeography and taxonomy of the Little Bronze-Cuckoo ( Chalcites minutillus ) in Australia's monsoon tropics. Emu - Austral Ornithology. 111(2). 113–119. 11 indexed citations
20.
Kilner, Rebecca M. & Naomi E. Langmore. (2011). Cuckoos versus hosts in insects and birds: adaptations, counter-adaptations and outcomes. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 86(4). 836–852. 156 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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