Annika Paukner
- Social Psychology top 0.5%
- Developmental and Educational Psychology top 1%
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 2%
- Genetics top 10%
- Co-authors
- Stephen J. SuomiPier Francesco FerrariElizabeth A. SimpsonJames R. AndersonElisabetta VisalberghiAngela RuggieroLeonardo FogassiKazuo Fujita
- Topics
- Primate Behavior and Ecology (51 papers)Child and Animal Learning Development (31 papers)Evolutionary Psychology and Human Behavior (18 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Annika Paukner
76 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 105
- Social Psychology 1.7k
- Developmental and Educational Psychology 824
- Cognitive Neuroscience 747
- Experimental and Cognitive Psychology 596
- Genetics 306
Countries citing papers authored by Annika Paukner
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
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
| # | 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 |
About Annika Paukner
Annika Paukner is a scholar working on Developmental Biology, Social Psychology and Developmental and Educational Psychology, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Primate Behavior and Ecology (51 papers), Child and Animal Learning Development (31 papers) and Evolutionary Psychology and Human Behavior (18 papers). The work is most often cited by research in Developmental Biology (287 citations), Social Psychology (1.7k citations) and Developmental and Educational Psychology (824 citations). Annika Paukner has collaborated with scholars based in United States, United Kingdom and Italy. Frequent 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. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.