Danielle Sulikowski

71 total papers · 1.0k total citations
37 papers, 704 citations indexed

About

Danielle Sulikowski is a scholar working on Experimental and Cognitive Psychology, Ecology, Evolution, Behavior and Systematics and Social Psychology. According to data from OpenAlex, Danielle Sulikowski has authored 37 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Experimental and Cognitive Psychology, 13 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Social Psychology. Recurrent topics in Danielle Sulikowski's work include Evolutionary Psychology and Human Behavior (16 papers), Animal Behavior and Reproduction (12 papers) and Consumer Behavior in Brand Consumption and Identification (8 papers). Danielle Sulikowski is often cited by papers focused on Evolutionary Psychology and Human Behavior (16 papers), Animal Behavior and Reproduction (12 papers) and Consumer Behavior in Brand Consumption and Identification (8 papers). Danielle Sulikowski collaborates with scholars based in Australia, United Kingdom and Finland. Danielle Sulikowski's co-authors include Darren Burke, Barnaby Dixson, Ajay Narendra, Ken Cheng, Aung Si, Markus J. Rantala, Robert C. Brooks, James M. Sherlock, Rüdiger Wehner and Norman P. Li and has published in prestigious journals such as PLoS ONE, Animal Behaviour and Personality and Individual Differences.

In The Last Decade

Danielle Sulikowski

36 papers receiving 670 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Danielle Sulikowski 307 191 153 145 105 37 704
Gwenaël Kaminski 302 1.0× 200 1.0× 103 0.7× 96 0.7× 105 1.0× 30 741
Erin M. Myers 147 0.5× 98 0.5× 149 1.0× 185 1.3× 271 2.6× 33 842
Yong Zhi Foo 241 0.8× 159 0.8× 112 0.7× 73 0.5× 75 0.7× 22 688
Severi Luoto 229 0.7× 146 0.8× 56 0.4× 101 0.7× 169 1.6× 42 846
Inese Kivleniece 222 0.7× 349 1.8× 59 0.4× 47 0.3× 82 0.8× 20 760
Terry F. Pettijohn 195 0.6× 26 0.1× 110 0.7× 316 2.2× 122 1.2× 71 852
W. Sluckin 124 0.4× 163 0.9× 149 1.0× 251 1.7× 54 0.5× 34 801
George B. Kish 199 0.6× 36 0.2× 178 1.2× 231 1.6× 125 1.2× 46 851
Michael N. Pham 373 1.2× 65 0.3× 34 0.2× 135 0.9× 179 1.7× 53 866
Roger L. Terry 249 0.8× 59 0.3× 147 1.0× 220 1.5× 61 0.6× 39 659

Countries citing papers authored by Danielle Sulikowski

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Sulikowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Sulikowski

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

All Works

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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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