Rachael C. Shaw

2.2k total citations
37 papers, 819 citations indexed

About

Rachael C. Shaw is a scholar working on Ecology, Evolution, Behavior and Systematics, Social Psychology and Ecology. According to data from OpenAlex, Rachael C. Shaw has authored 37 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ecology, Evolution, Behavior and Systematics, 18 papers in Social Psychology and 11 papers in Ecology. Recurrent topics in Rachael C. Shaw's work include Animal Behavior and Reproduction (22 papers), Primate Behavior and Ecology (14 papers) and Plant and animal studies (10 papers). Rachael C. Shaw is often cited by papers focused on Animal Behavior and Reproduction (22 papers), Primate Behavior and Ecology (14 papers) and Plant and animal studies (10 papers). Rachael C. Shaw collaborates with scholars based in New Zealand, United Kingdom and United States. Rachael C. Shaw's co-authors include Nicola S. Clayton, Martin Schmelz, Kevin C. Burns, Joshua M. Plotnik, Lucy G. Cheke, Márk E. Hauber, Ljerka Ostojić, Claudia A. F. Wascher, Ipek G. Kulahci and Ellis Langley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Current Biology.

In The Last Decade

Rachael C. Shaw

33 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachael C. Shaw New Zealand 16 495 422 227 163 116 37 819
Jayden O. van Horik United Kingdom 18 565 1.1× 455 1.1× 209 0.9× 167 1.0× 97 0.8× 39 875
Mareike Stöwe Austria 12 389 0.8× 325 0.8× 198 0.9× 151 0.9× 141 1.2× 15 704
Claudia A. F. Wascher Austria 18 475 1.0× 421 1.0× 238 1.0× 208 1.3× 154 1.3× 55 1.0k
Nicola Schiel Brazil 22 316 0.6× 642 1.5× 223 1.0× 241 1.5× 107 0.9× 49 910
Sarah Benson‐Amram United States 15 612 1.2× 638 1.5× 349 1.5× 207 1.3× 193 1.7× 27 1.1k
Dómhnall J. Jennings United Kingdom 19 615 1.2× 393 0.9× 334 1.5× 124 0.8× 117 1.0× 51 1.1k
Meredith L. Bastian United States 10 202 0.4× 430 1.0× 146 0.6× 172 1.1× 104 0.9× 17 637
Gyula K. Gajdon Austria 20 611 1.2× 678 1.6× 160 0.7× 320 2.0× 130 1.1× 30 1.0k
Bruna M. Bezerra Brazil 18 392 0.8× 612 1.5× 307 1.4× 429 2.6× 88 0.8× 75 948
Christian Schloegl Austria 17 404 0.8× 546 1.3× 111 0.5× 218 1.3× 164 1.4× 25 814

Countries citing papers authored by Rachael C. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Rachael C. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachael C. Shaw. 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 Rachael C. Shaw. The network helps show where Rachael C. Shaw may publish in the future.

Co-authorship network of co-authors of Rachael C. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Rachael C. Shaw. A scholar is included among the top collaborators of Rachael C. Shaw 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 Rachael C. Shaw. Rachael C. Shaw 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.
Shaw, Rachael C., et al.. (2025). Individual variation in spatial reference memory influences cache site choice in a wild bird. Proceedings of the Royal Society B Biological Sciences. 292(2043). 20243079–20243079. 1 indexed citations
2.
Thornton, Alex, et al.. (2025). Effects of experimentally manipulating group size on cognitive performance in red junglefowl chicks. Animal Behaviour. 231. 123340–123340.
3.
Shaw, Rachael C., et al.. (2024). Measuring self-control in a wild songbird using a spatial discounting task. Animal Cognition. 27(1). 70–70.
4.
Lensen, Andrew, et al.. (2024). Re-Identification of Individual Kākā: An Explainable DINO-Based Model. 1–6. 1 indexed citations
5.
Shaw, Rachael C., et al.. (2023). Repeatability and heritability of inhibitory control performance in wild toutouwai ( Petroica longipes ). Royal Society Open Science. 10(11). 231476–231476. 13 indexed citations
6.
Shaw, Rachael C., et al.. (2023). Dynamics and individual consistency of courtship‐feeding in wild toutouwai ( Petroica longipes ). New Zealand Journal of Zoology. 51(2). 117–129.
7.
Shaw, Rachael C., Alison L. Greggor, & Joshua M. Plotnik. (2021). The Challenges of Replicating Research on Endangered Species. SHILAP Revista de lepidopterología. 8(2). 240–246. 15 indexed citations
8.
Shaw, Rachael C., et al.. (2020). Long-term memory for a learned behaviour in a wild bird. Biology Letters. 16(2). 20190912–20190912. 6 indexed citations
9.
Hackett, Paul M. W., et al.. (2019). A Facet Theory Analysis of the Structure of Cognitive Performance in New Zealand Robins (Petroica longipes). International Journal of Comparative Psychology. 32. 2 indexed citations
10.
Wascher, Claudia A. F., Ipek G. Kulahci, Ellis Langley, & Rachael C. Shaw. (2018). How does cognition shape social relationships?. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1756). 20170293–20170293. 54 indexed citations
11.
Shaw, Rachael C., et al.. (2018). The ontogeny of food-caching behaviour in New Zealand robins ( Petroica longipes ). Behavioural Processes. 151. 27–33. 6 indexed citations
12.
Shaw, Rachael C., et al.. (2017). Male New Zealand robins (Petroica longipes) cater to their mate’s desire when sharing food in the wild. Scientific Reports. 7(1). 896–896. 7 indexed citations
13.
Shaw, Rachael C., et al.. (2016). Destruction of a North Island robin (Petroica longipes) nest by a little spotted kiwi (Apteryx owenii). Notornis. 63(1). 46–46. 2 indexed citations
14.
Shaw, Rachael C.. (2016). Testing cognition in the wild: factors affecting performance and individual consistency in two measures of avian cognition. Behavioural Processes. 134. 31–36. 74 indexed citations
15.
Kavanagh, Patrick H., Rachael C. Shaw, & Kevin C. Burns. (2016). Potential aposematism in an insular tree species: are signals dishonest early in ontogeny?. Biological Journal of the Linnean Society. 118(4). 951–958. 10 indexed citations
16.
Shaw, Rachael C., et al.. (2015). Wild psychometrics: evidence for ‘general’ cognitive performance in wild New Zealand robins, Petroica longipes. Animal Behaviour. 109. 101–111. 119 indexed citations
17.
Shaw, Rachael C. & Nicola S. Clayton. (2014). Pilfering Eurasian jays use visual and acoustic information to locate caches. Animal Cognition. 17(6). 1281–1288. 15 indexed citations
18.
Shaw, Rachael C., William E. Feeney, & Márk E. Hauber. (2014). Nest destruction elicits indiscriminate con‐ versus heterospecific brood parasitism in a captive bird. Ecology and Evolution. 4(23). 4500–4504. 6 indexed citations
19.
Shaw, Rachael C., Joshua M. Plotnik, & Nicola S. Clayton. (2013). Exclusion in corvids: The performance of food-caching Eurasian jays (Garrulus glandarius).. Journal of comparative psychology. 127(4). 428–435. 24 indexed citations
20.
Shaw, Rachael C. & Márk E. Hauber. (2009). Experimental support for the role of nest predation in the evolution of brood parasitism. Journal of Evolutionary Biology. 22(6). 1354–1358. 18 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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