Daniel Hanus

21 papers receiving 1.2k citations

Peers

Daniel Hanus
Comparison fields: 5 of 86
  • Developmental and Educational Psychology 553
  • Developmental Biology 91
  • Social Psychology 747
  • Experimental and Cognitive Psychology 235
  • Statistics and Probability 146
Replace María Victoria Hernández‐Lloreda with:
María Victoria Hernández‐Lloreda Spain
Derek C. Penn United States
Bonnie M. Perdue United States
Ernő Téglás Austria
Mathias Osvath Sweden
Tricia S. Clement United States
Valerie A. Kuhlmeier Canada
Charles R. Menzel United States
Christoph Johannes Völter Austria
Jennifer R. Laude United States
Daniel Hanus relative to María Victoria Hernández‐Lloreda Spain María Victoria Hernández‐Lloreda's profile →
Citations per field
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María Victoria Hernández‐Lloreda · 1×
Citations per year

Countries citing papers authored by Daniel Hanus

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hanus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Hanus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Hanus Line = papers co-authored together Daniel Hanus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007412
2 2007160
3 2011128
4 2019111
5 2007102
6 200852
7 202052
8 201251
9 201143
10 201828
11 201121
12 201420
13 201616
14 201912
15 202312
16 202012
17 201511
18 20197
19 20155
20 20222

About Daniel Hanus

Daniel Hanus is a scholar working on Developmental and Educational Psychology, Social Psychology, Cognitive Neuroscience, Experimental and Cognitive Psychology and Statistics and Probability, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Child and Animal Learning Development (16 papers), Primate Behavior and Ecology (16 papers), Memory and Neural Mechanisms (5 papers), Cognitive and developmental aspects of mathematical skills (4 papers), Olfactory and Sensory Function Studies (3 papers), Evolutionary Psychology and Human Behavior (3 papers), Psychology of Moral and Emotional Judgment (2 papers) and Categorization, perception, and language (2 papers). The work is most often cited by research in Developmental and Educational Psychology (553 citations), Developmental Biology (91 citations), Social Psychology (747 citations), Experimental and Cognitive Psychology (235 citations) and Statistics and Probability (146 citations). Daniel Hanus has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Josep Call Balaguer, Michael Tomasello, Felix Warneken, Alicia P. Melis, Brian A. Hare, Natacha Mendes, Juliane Bräuer, Claudio Tennie, Natalie Uomini and Simone Pika. Their work appears in journals such as Journal of comparative psychology, PLoS ONE, Animal Behaviour, Biology Letters and Current Biology.

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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