Kate Crookes

1.4k citations
33 papers · 1.0k · h-index 16

Impact in

Papers in

Kate Crookes

32 papers receiving 993 citations

Peers

Kate Crookes
Comparison fields: 5 of 75
  • Cognitive Neuroscience 909
  • Experimental and Cognitive Psychology 558
  • Computer Vision and Pattern Recognition 332
  • Social Psychology 121
  • Developmental and Educational Psychology 58
Replace Stefan R. Schweinberger with:
Stefan R. Schweinberger Germany
Kim M. Curby United States
Jessica Irons Australia
I Bülthoff Germany
Nadine Kloth Australia
Goedele Van Belle Belgium
Jürgen M. Kaufmann Germany
Nicole Fiori France
John Towler United Kingdom
Mayu Nishimura United States
Kate Crookes relative to Stefan R. Schweinberger Germany Stefan R. Schweinberger's profile →
Citations per field
00.5×4.2×
Stefan R. Schweinberger · 1×
Citations per year

Countries citing papers authored by Kate Crookes

Since Specialization
Citations

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

Fields of papers citing papers by Kate Crookes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009193
2 2012162
3 201570
4 201567
5 201367
6 201760
7 201952
8 201351
9 201137
10 201636
11 201329
12 200929
13 202129
14 201719
15 201716
16 201615
17 201714
18 201412
19 201211
20 202011

About Kate Crookes

Kate Crookes is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health and Social Psychology, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Face Recognition and Perception (26 papers), Evolutionary Psychology and Human Behavior (14 papers), Face recognition and analysis (8 papers), Visual perception and processing mechanisms (7 papers), Palliative Care and End-of-Life Issues (4 papers), Psychology of Moral and Emotional Judgment (3 papers), Visual Attention and Saliency Detection (3 papers) and Frailty in Older Adults (3 papers). The work is most often cited by research in Cognitive Neuroscience (909 citations), Experimental and Cognitive Psychology (558 citations), Computer Vision and Pattern Recognition (332 citations), Social Psychology (121 citations) and Developmental and Educational Psychology (58 citations). Kate Crookes has collaborated with scholars based in Australia, Hong Kong and New Zealand. Frequent co-authors include Elinor McKone, William G. Hayward, Gillian Rhodes, Linda Jeffery, Daniel D. Dilks, Lulu Wan, Katherine J. Reynolds, Amy Dawel, Simone Favelle and Rachel A. Robbins. Their work appears in journals such as Journal of Vision, Journal of Experimental Psychology Human Perception & Performance, Cognition, Scientific Reports and BMJ Open.

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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