Amanda M. Seed

4.8k citations
45 papers · 2.0k indexed · 1 hit paper · h-index 18

Amanda M. Seed

42 papers receiving 2.0k citations

Hit Papers

Primate Cognition4792010202620152020100200300400

Peers

Amanda M. Seed
Comparison fields: 5 of 106
  • Developmental Biology 514
  • Social Psychology 1.4k
  • Developmental and Educational Psychology 641
  • Ecology, Evolution, Behavior and Systematics 759
  • Experimental and Cognitive Psychology 268
Replace Alex H. Taylor with:
Alex H. Taylor New Zealand
Gavin R. Hunt New Zealand
Thibaud Gruber Switzerland
Federica Amici Germany
Jackie Chappell United Kingdom
Anne E. Russon Canada
Zanna Clay United Kingdom
Alison Jolly United Kingdom
Linda F. Marchant United States
Catherine Hobaiter United Kingdom
Amanda M. Seed relative to Alex H. Taylor New Zealand Alex H. Taylor's profile →
Citations per field
00.5×1.5×
Alex H. Taylor · 1×
Citations per year

Countries citing papers authored by Amanda M. Seed

Since Specialization
Citations

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

Fields of papers citing papers by Amanda M. Seed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda M. Seed. 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 Amanda M. Seed. The network helps show where Amanda M. Seed may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Amanda M. Seed, 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 Amanda M. Seed Line = papers co-authored together Amanda M. Seed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20221
3 20223
4 202210
5
Sensitivity to ostension is not sufficient for pedagogical reasoning by toddlers.
20201
6 20196
7 201822
8
Saber sin saber: la cognición implícita y las mentes de niños pequeños y animales
20171
9 20179
10 201611
11 20154
12 201413
13 201415
14 201318
15
Primate Cognitionbreakdown →
2010479
16 2010156
17 200983
18 2007126
19 2006126
20 200672

About Amanda M. Seed

Amanda M. Seed is a scholar working on Developmental Biology, Developmental and Educational Psychology and Social Psychology, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Child and Animal Learning Development (29 papers), Primate Behavior and Ecology (24 papers), Animal Behavior and Reproduction (10 papers), Cognitive and developmental aspects of mathematical skills (9 papers), Animal Vocal Communication and Behavior (9 papers), Memory and Neural Mechanisms (8 papers), Neural and Behavioral Psychology Studies (4 papers) and Language and cultural evolution (4 papers). The work is most often cited by research in Developmental Biology (514 citations), Social Psychology (1.4k citations) and Developmental and Educational Psychology (641 citations). Amanda M. Seed has collaborated with scholars based in United Kingdom, Germany and Austria. Frequent co-authors include Nicola S. Clayton, Nathan J. Emery, Michael Tomasello, Richard W. Byrne, Josep Call, Auguste M. P. von Bayern, Sabine Tebbich, Kevin N. Laland, Christoph J. Völter and Katie E. Slocombe. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

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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