Catriona M. E. Ryan

400 total citations
9 papers, 241 citations indexed

About

Catriona M. E. Ryan is a scholar working on Social Psychology, Developmental and Educational Psychology and Small Animals. According to data from OpenAlex, Catriona M. E. Ryan has authored 9 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Social Psychology, 6 papers in Developmental and Educational Psychology and 2 papers in Small Animals. Recurrent topics in Catriona M. E. Ryan's work include Behavioral and Psychological Studies (6 papers), Primate Behavior and Ecology (3 papers) and Child and Animal Learning Development (3 papers). Catriona M. E. Ryan is often cited by papers focused on Behavioral and Psychological Studies (6 papers), Primate Behavior and Ecology (3 papers) and Child and Animal Learning Development (3 papers). Catriona M. E. Ryan collaborates with scholars based in United Kingdom, United States and Canada. Catriona M. E. Ryan's co-authors include Stephen E. G. Lea, Alan Slater, Andy J. Wills, Britta Osthaus, Lisa A. Leaver, Kazuhiro Goto, Emmanuel M. Pothos and Elizabeth Nicholls and has published in prestigious journals such as Infant Behavior and Development, Journal of comparative psychology and Behavioural Processes.

In The Last Decade

Catriona M. E. Ryan

9 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catriona M. E. Ryan United Kingdom 7 79 77 76 73 55 9 241
Walter T. Herbranson United States 9 157 2.0× 60 0.8× 112 1.5× 56 0.8× 31 0.6× 23 322
Leyre Castro United States 14 163 2.1× 58 0.8× 194 2.6× 101 1.4× 48 0.9× 40 397
Justine Aw United Kingdom 8 115 1.5× 72 0.9× 104 1.4× 52 0.7× 19 0.3× 8 300
W. David Stahlman United States 10 60 0.8× 102 1.3× 72 0.9× 47 0.6× 20 0.4× 22 269
Z. A. Zorina Russia 9 152 1.9× 106 1.4× 74 1.0× 159 2.2× 28 0.5× 32 371
А. А. Смирнова Russia 9 164 2.1× 119 1.5× 85 1.1× 183 2.5× 30 0.5× 40 398
Martina Siemann Germany 12 213 2.7× 45 0.6× 130 1.7× 55 0.8× 57 1.0× 19 379
Kristina F. Pattison United States 11 89 1.1× 29 0.4× 71 0.9× 103 1.4× 26 0.5× 15 320
Jacquelyne J. Rivera United States 7 192 2.4× 60 0.8× 228 3.0× 66 0.9× 43 0.8× 8 452
Elena Mascalzoni Italy 7 124 1.6× 78 1.0× 218 2.9× 189 2.6× 32 0.6× 8 398

Countries citing papers authored by Catriona M. E. Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Catriona M. E. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catriona M. E. Ryan. 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 Catriona M. E. Ryan. The network helps show where Catriona M. E. Ryan may publish in the future.

Co-authorship network of co-authors of Catriona M. E. Ryan

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

All Works

9 of 9 papers shown
1.
Lea, Stephen E. G., et al.. (2018). Multiple feature use in pigeons’ category discrimination: The influence of stimulus set structure and the salience of stimulus differences.. Journal of Experimental Psychology Animal Learning and Cognition. 44(2). 114–127. 10 indexed citations
2.
Nicholls, Elizabeth, et al.. (2010). Labeling and family resemblance in the discrimination of polymorphous categories by pigeons. Animal Cognition. 14(1). 21–34. 5 indexed citations
3.
Lea, Stephen E. G., et al.. (2009). A comparative analysis of the categorization of multidimensional stimuli: II. Strategic information search in humans (Homo sapiens) but not in pigeons (Columba livia).. Journal of comparative psychology. 123(4). 406–420. 17 indexed citations
5.
Lea, Stephen E. G., Kazuhiro Goto, Britta Osthaus, & Catriona M. E. Ryan. (2006). The logic of the stimulus. Animal Cognition. 9(4). 247–256. 23 indexed citations
6.
Lea, Stephen E. G., Andy J. Wills, & Catriona M. E. Ryan. (2005). Why are artificial polymorphous concepts so hard for birds to learn?. Quarterly Journal of Experimental Psychology. 59(2). 251–267. 16 indexed citations
7.
Lea, Stephen E. G., et al.. (1999). The McCollough effect in pigeons: tests of persistence and spatial-frequency specificity. Behavioural Processes. 47(1). 31–43. 1 indexed citations
8.
Lea, Stephen E. G., Alan Slater, & Catriona M. E. Ryan. (1996). Perception of object unity in chicks: A comparison with the human infant. Infant Behavior and Development. 19(4). 501–504. 65 indexed citations
9.
Ryan, Catriona M. E. & Stephen E. G. Lea. (1994). Images of conspecifics as categories to be discriminated by pigeons and chickens: Slides, video tapes, stuffed birds and live birds. Behavioural Processes. 33(1-2). 155–175. 66 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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