Rebecca Nutbrown

697 citations
6 papers · 361 indexed · h-index 5
Topics
Child and Animal Learning Development (3 papers)Neural dynamics and brain function (2 papers)Face Recognition and Perception (2 papers)
Partner nations
United KingdomSingapore

In The Last Decade

Rebecca Nutbrown

6 papers receiving 353 citations

Peers

Rebecca Nutbrown
Comparison fields: 5 of 61
  • Cognitive Neuroscience 242
  • Cellular and Molecular Neuroscience 162
  • Developmental and Educational Psychology 64
  • Social Psychology 59
  • Molecular Biology 28
Replace Zachary T. Nolan with:
Zachary T. Nolan United States
Nora L. Benavidez United States
Danielle N. Abrams United States
Sarah F. Beul Germany
Barbara Biemans Switzerland
Koki Mimura Japan
Michele N. Insanally United States
Daniel L. Rathbun United States
Terra D. Barnes United States
Stephen Oakeshott United States
Rebecca Nutbrown relative to Zachary T. Nolan United States Zachary T. Nolan's profile →
Citations per field
00.5×4.6×
Zachary T. Nolan · 1×
Citations per year

Countries citing papers authored by Rebecca Nutbrown

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Nutbrown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Nutbrown

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 35
2 151
3 28
4 3
5 89
6 55

About Rebecca Nutbrown

Rebecca Nutbrown is a scholar working on Developmental Neuroscience, Developmental and Educational Psychology and Cognitive Neuroscience, having authored 6 papers that have together received 361 indexed citations. Recurring topics across this work include Child and Animal Learning Development (3 papers), Neural dynamics and brain function (2 papers) and Face Recognition and Perception (2 papers). The work is most often cited by research in Cognitive Neuroscience (242 citations), Cellular and Molecular Neuroscience (162 citations) and Developmental and Educational Psychology (64 citations). Rebecca Nutbrown has collaborated with scholars based in United Kingdom and Singapore. Frequent co-authors include Michael Häusser, Lloyd Russell, Stanimira Georgieva, Victoria Leong, Sam Wass, Kaili Clackson, Brendan A. Bicknell, Joanna Lau, Christoph Schmidt‐Hieber and Lorena Santamaria. Their work appears in journals such as Cell, Nature Protocols and PLoS 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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