Annika Paukner

3.5k total citations
79 papers, 2.3k citations indexed

About

Annika Paukner is a scholar working on Social Psychology, Developmental and Educational Psychology and Cognitive Neuroscience. According to data from OpenAlex, Annika Paukner has authored 79 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Social Psychology, 33 papers in Developmental and Educational Psychology and 24 papers in Cognitive Neuroscience. Recurrent topics in Annika Paukner's work include Primate Behavior and Ecology (51 papers), Child and Animal Learning Development (31 papers) and Evolutionary Psychology and Human Behavior (18 papers). Annika Paukner is often cited by papers focused on Primate Behavior and Ecology (51 papers), Child and Animal Learning Development (31 papers) and Evolutionary Psychology and Human Behavior (18 papers). Annika Paukner collaborates with scholars based in United States, United Kingdom and Italy. Annika Paukner's co-authors include Stephen J. Suomi, Pier Francesco Ferrari, Elizabeth A. Simpson, James R. Anderson, Elisabetta Visalberghi, Angela Ruggiero, Leonardo Fogassi, Kazuo Fujita, Valentina Sclafani and Consuel Ionica and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Annika Paukner

76 papers receiving 2.3k citations

Peers

Annika Paukner
Comparison fields: 5 of 105
  • Social Psychology 1.7k
  • Developmental and Educational Psychology 824
  • Cognitive Neuroscience 747
  • Experimental and Cognitive Psychology 596
  • Genetics 306
Replace Stephen Hutt with:
Stephen Hutt United States
Alexandra G. Rosati United States
Masaki Tomonaga Japan
Lisa A. Parr United States
Robert Lickliter United States
Maria L. Boccia United States
Sarah T. Boysen United States
David A. Leavens United Kingdom
Judith M. Burkart Switzerland
Elsa Addessi Italy
Stephen Hutt United States View profile →
Citations per field, relative to Annika Paukner
Annika Paukner · 1×
Citations per year, relative to Annika Paukner
Annika Paukner · 1×

Countries citing papers authored by Annika Paukner

Since Specialization
Citations

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

Fields of papers citing papers by Annika Paukner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Paukner

This figure shows the co-authorship network connecting the top 25 collaborators of Annika Paukner. A scholar is included among the top collaborators of Annika Paukner 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 Annika Paukner. Annika Paukner 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
# Work Indexed citations
1 0
2 1
3 2
4 9
5 4
6 2
7 10
8 25
9 15
10 3
11 23
12 69
13 4
14 8
15 15
16 123
17 21
18 16
19 93
20 15

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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