Christine Schwäb

922 total citations
22 papers, 617 citations indexed

About

Christine Schwäb is a scholar working on Social Psychology, Ecology, Evolution, Behavior and Systematics and Developmental Biology. According to data from OpenAlex, Christine Schwäb has authored 22 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Social Psychology, 12 papers in Ecology, Evolution, Behavior and Systematics and 9 papers in Developmental Biology. Recurrent topics in Christine Schwäb's work include Primate Behavior and Ecology (14 papers), Animal Behavior and Reproduction (12 papers) and Animal Vocal Communication and Behavior (9 papers). Christine Schwäb is often cited by papers focused on Primate Behavior and Ecology (14 papers), Animal Behavior and Reproduction (12 papers) and Animal Vocal Communication and Behavior (9 papers). Christine Schwäb collaborates with scholars based in Austria, United Kingdom and Germany. Christine Schwäb's co-authors include Thomas Bugnyar, Ludwig Huber, Kurt Kotrschal, Christian Schloegl, Rachael Miller, Bernd Heinrich, William Hoppitt, Daniel I. Rubenstein, Joseph De Koninck and Martina Schiestl and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and Current Biology.

In The Last Decade

Christine Schwäb

20 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christine Schwäb Austria 15 340 274 173 168 104 22 617
Stefano Kaburu United Kingdom 19 632 1.9× 334 1.2× 104 0.6× 222 1.3× 127 1.2× 45 790
Meredith L. Bastian United States 10 430 1.3× 202 0.7× 104 0.6× 172 1.0× 61 0.6× 17 637
Gen’ichi Idani Japan 15 557 1.6× 278 1.0× 132 0.8× 174 1.0× 95 0.9× 48 741
Rachael C. Shaw New Zealand 16 422 1.2× 495 1.8× 116 0.7× 163 1.0× 74 0.7× 37 819
Mary L. Weldele United States 17 374 1.1× 320 1.2× 141 0.8× 129 0.8× 117 1.1× 29 788
Ákos Pogány Hungary 17 217 0.6× 192 0.7× 300 1.7× 83 0.5× 73 0.7× 51 707
Mareike Stöwe Austria 12 325 1.0× 389 1.4× 141 0.8× 151 0.9× 46 0.4× 15 704
Patricia Peignot France 11 350 1.0× 261 1.0× 107 0.6× 110 0.7× 96 0.9× 19 497
Claudia A. F. Wascher Austria 18 421 1.2× 475 1.7× 154 0.9× 208 1.2× 104 1.0× 55 1.0k
Gustl Anzenberger Switzerland 17 519 1.5× 368 1.3× 127 0.7× 166 1.0× 136 1.3× 34 789

Countries citing papers authored by Christine Schwäb

Since Specialization
Citations

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

Fields of papers citing papers by Christine Schwäb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Schwäb

This figure shows the co-authorship network connecting the top 25 collaborators of Christine Schwäb. A scholar is included among the top collaborators of Christine Schwäb 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 Christine Schwäb. Christine Schwäb 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.
Miller, Rachael, Markus Boeckle, James P. Richardson, et al.. (2024). Social attention across development in common ravens and carrion/hooded crows. Animal Behaviour. 220. 123038–123038.
2.
Ströckens, Felix, et al.. (2022). High associative neuron numbers could drive cognitive performance in corvid species. The Journal of Comparative Neurology. 530(10). 1588–1605. 27 indexed citations
3.
Uhl, F., et al.. (2019). Catching crows: seasonality, techniques and the influence of social behaviour. Ringing & Migration. 34(1). 1–7. 1 indexed citations
4.
Kövér, L., Szabolcs Lengyel, Makiko Takenaka, et al.. (2019). Why do zoos attract crows? A comparative study from Europe and Asia. Ecology and Evolution. 9(24). 14465–14475. 17 indexed citations
5.
Uhl, F., et al.. (2018). Counting crows: population structure and group size variation in an urban population of crows. Behavioral Ecology. 30(1). 57–67. 14 indexed citations
6.
Miller, Rachael, Kate L. Laskowski, Martina Schiestl, Thomas Bugnyar, & Christine Schwäb. (2016). Socially Driven Consistent Behavioural Differences during Development in Common Ravens and Carrion Crows. PLoS ONE. 11(2). e0148822–e0148822. 12 indexed citations
7.
Uhl, F., Thomas Bugnyar, Rachael Miller, et al.. (2016). Behavioural Type Affects Space Use in a Wild Population of Crows (Corvus corone). Ethology. 122(11). 881–891. 4 indexed citations
8.
Kulahci, Ipek G., Daniel I. Rubenstein, Thomas Bugnyar, et al.. (2016). Social networks predict selective observation and information spread in ravens. Royal Society Open Science. 3(7). 160256–160256. 47 indexed citations
9.
Veselý, Petr, et al.. (2016). Responses of urban crows to con- and hetero-specific alarm calls in predator and non-predator zoo enclosures. Animal Cognition. 20(1). 43–51. 12 indexed citations
10.
Miller, Rachael, Christine Schwäb, & Thomas Bugnyar. (2016). Explorative innovators and flexible use of social information in common ravens (Corvus corax) and carrion crows (Corvus corone).. Journal of comparative psychology. 130(4). 328–340. 9 indexed citations
11.
Miller, Rachael, et al.. (2015). Differences in exploration behaviour in common ravens and carrion crows during development and across social context. Behavioral Ecology and Sociobiology. 69(7). 1209–1220. 45 indexed citations
12.
Stöwe, Mareike, et al.. (2015). Loner or socializer? Ravens' adrenocortical response to individual separation depends on social integration. Hormones and Behavior. 78. 194–199. 27 indexed citations
13.
Bugnyar, Thomas, et al.. (2014). Pair bond characteristics and maintenance in free‐flying jackdaws Corvus monedula : effects of social context and season. Journal of Avian Biology. 46(2). 206–215. 16 indexed citations
14.
Schwäb, Christine, et al.. (2012). Recipients Affect Prosocial and Altruistic Choices in Jackdaws, Corvus monedula. PLoS ONE. 7(4). e34922–e34922. 46 indexed citations
15.
Voelkl, Bernhard, Claudia Kasper, & Christine Schwäb. (2011). Network measures for dyadic interactions: stability and reliability. American Journal of Primatology. 73(8). 731–740. 19 indexed citations
16.
Schwäb, Christine, Thomas Bugnyar, & Kurt Kotrschal. (2008). Preferential learning from non-affiliated individuals in jackdaws (Corvus monedula). Behavioural Processes. 79(3). 148–155. 24 indexed citations
17.
Bugnyar, Thomas, Christine Schwäb, Christian Schloegl, Kurt Kotrschal, & Bernd Heinrich. (2007). Ravens Judge Competitors through Experience with Play Caching. Current Biology. 17(20). 1804–1808. 51 indexed citations
18.
Schwäb, Christine, Thomas Bugnyar, Christian Schloegl, & Kurt Kotrschal. (2007). Enhanced social learning between siblings in common ravens, Corvus corax. Animal Behaviour. 75(2). 501–508. 66 indexed citations
19.
Schwäb, Christine & Ludwig Huber. (2006). Obey or Not Obey? Dogs (Canis familiaris) Behave Differently in Response to Attentional States of Their Owners.. Journal of comparative psychology. 120(3). 169–175. 129 indexed citations
20.

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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