Ulrike Aust

1.1k total citations
27 papers, 808 citations indexed

About

Ulrike Aust is a scholar working on Ecology, Evolution, Behavior and Systematics, Animal Science and Zoology and Social Psychology. According to data from OpenAlex, Ulrike Aust has authored 27 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, Evolution, Behavior and Systematics, 12 papers in Animal Science and Zoology and 8 papers in Social Psychology. Recurrent topics in Ulrike Aust's work include Animal Behavior and Reproduction (12 papers), Animal Nutrition and Physiology (11 papers) and Animal Behavior and Welfare Studies (7 papers). Ulrike Aust is often cited by papers focused on Animal Behavior and Reproduction (12 papers), Animal Nutrition and Physiology (11 papers) and Animal Behavior and Welfare Studies (7 papers). Ulrike Aust collaborates with scholars based in Austria, Germany and Canada. Ulrike Aust's co-authors include Ludwig Huber, Friederike Range, Nikolaus F. Troje, W. Tecumseh Fitch, Onur Güntürkün, Yumiko Yamazaki, Markus Hausmann, Martin Fieder, Nina Stobbe and Anna Wilkinson and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Cognition and Vision Research.

In The Last Decade

Ulrike Aust

27 papers receiving 793 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrike Aust Austria 18 347 266 248 240 186 27 808
Lorenzo von Fersen Germany 18 243 0.7× 217 0.8× 375 1.5× 404 1.7× 151 0.8× 56 1.2k
Dalila Bovet France 18 443 1.3× 337 1.3× 194 0.8× 246 1.0× 221 1.2× 60 991
Christian Schloegl Austria 17 546 1.6× 404 1.5× 111 0.4× 219 0.9× 218 1.2× 25 814
Olga F. Lazareva United States 17 245 0.7× 204 0.8× 351 1.4× 358 1.5× 99 0.5× 44 862
Bonnie M. Perdue United States 21 549 1.6× 172 0.6× 345 1.4× 326 1.4× 85 0.5× 56 1.2k
Elisabetta Versace Italy 21 390 1.1× 300 1.1× 467 1.9× 137 0.6× 268 1.4× 55 1.2k
Cinzia Chiandetti Italy 20 301 0.9× 196 0.7× 732 3.0× 280 1.2× 119 0.6× 56 1.3k
Catherine Blois‐Heulin France 23 800 2.3× 276 1.0× 734 3.0× 390 1.6× 457 2.5× 73 1.5k
Joshua M. Plotnik United States 14 620 1.8× 199 0.7× 188 0.8× 141 0.6× 128 0.7× 31 1.1k
Jérôme Micheletta United Kingdom 21 810 2.3× 379 1.4× 293 1.2× 150 0.6× 382 2.1× 49 1.2k

Countries citing papers authored by Ulrike Aust

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Aust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike Aust

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Aust. A scholar is included among the top collaborators of Ulrike Aust 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 Ulrike Aust. Ulrike Aust 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.
Ravignani, Andrea, et al.. (2015). More than one way to see it: Individual heuristics in avian visual computation. Cognition. 143. 13–24. 26 indexed citations
2.
Stephan, Claudia, et al.. (2014). Discrimination of holograms and real objects by pigeons (Columba livia) and humans (Homo sapiens).. Journal of comparative psychology. 128(3). 261–275. 4 indexed citations
3.
Aust, Ulrike, et al.. (2014). Transfer between local and global processing levels by pigeons (Columba livia) and humans (Homo sapiens) in exemplar- and rule-based categorization tasks.. Journal of comparative psychology. 129(1). 1–16. 5 indexed citations
4.
Wilkinson, Anna, et al.. (2014). Touchscreen performance and knowledge transfer in the red-footed tortoise (Chelonoidis carbonaria). Behavioural Processes. 106. 187–192. 29 indexed citations
5.
Troje, Nikolaus F. & Ulrike Aust. (2013). What do you mean with “direction”? Local and global cues to biological motion perception in pigeons. Vision Research. 79. 47–55. 35 indexed citations
6.
Huber, Ludwig & Ulrike Aust. (2012). A Modified Feature Theory as an Account of Pigeon Visual Categorization. Oxford University Press eBooks. 6 indexed citations
7.
Aust, Ulrike, et al.. (2012). Learning of an oddity rule by pigeons in a four-choice touch-screen procedure. Animal Cognition. 16(3). 321–341. 5 indexed citations
8.
Aust, Ulrike, et al.. (2012). The Vienna comparative cognition technology (VCCT): An innovative operant conditioning system for various species and experimental procedures. Behavior Research Methods. 44(4). 909–918. 36 indexed citations
9.
Aust, Ulrike & Ludwig Huber. (2010). The role of skin-related information in pigeons’ categorization and recognition of humans in pictures. Vision Research. 50(19). 1941–1948. 5 indexed citations
10.
Aust, Ulrike & Ludwig Huber. (2009). Representational insight in pigeons: comparing subjects with and without real-life experience. Animal Cognition. 13(2). 207–218. 22 indexed citations
11.
Aust, Ulrike, et al.. (2008). Inferential reasoning by exclusion in pigeons, dogs, and humans. Animal Cognition. 11(4). 587–597. 81 indexed citations
12.
Yamazaki, Yumiko, Ulrike Aust, Ludwig Huber, Markus Hausmann, & Onur Güntürkün. (2006). Lateralized cognition: Asymmetrical and complementary strategies of pigeons during discrimination of the “human concept”. Cognition. 104(2). 315–344. 81 indexed citations
13.
Aust, Ulrike & Ludwig Huber. (2006). Picture-object recognition in pigeons: Evidence of representational insight in a visual categorization task using a complementary information procedure.. Journal of Experimental Psychology Animal Behavior Processes. 32(2). 190–195. 34 indexed citations
14.
15.
Aust, Ulrike, et al.. (2003). Pigeons use item-specific and category-level information in the identification and categorization of human faces.. Journal of Experimental Psychology Animal Behavior Processes. 29(4). 261–276. 17 indexed citations
16.
Aust, Ulrike & Ludwig Huber. (2003). Elemental versus configural perception in a people-present/people-absent discrimination task by pigeons. Learning & Behavior. 31(3). 213–224. 24 indexed citations
17.
Aust, Ulrike & Ludwig Huber. (2002). Target-defining features in a “people-present/people-absent” discrimination task by pigeons. Animal Learning & Behavior. 30(2). 165–176. 34 indexed citations
18.
Huber, Ludwig, et al.. (2000). Natural categorization through multiple feature learning in pigeons. The Quarterly Journal of Experimental Psychology Section B. 53(4). 341–357. 5 indexed citations
19.
Troje, Nikolaus F., et al.. (1999). Categorical learning in pigeons: the role of texture and shape in complex static stimuli. Vision Research. 39(2). 353–366. 77 indexed citations
20.
Huber, Ludwig, et al.. (1999). Limits of Symmetry Conceptualization in Pigeons. The Quarterly Journal of Experimental Psychology Section B. 52(4b). 351–379. 3 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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