Rachel A. Robbins
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 2%
- Computer Vision and Pattern Recognition top 2%
- Social Psychology top 5%
- Developmental and Educational Psychology top 5%
- Co-authors
- Daniel W. PiepersElinor McKoneMax ColtheartDaphne MaurerMark EdwardsCatherine J. MondlochTerri L. LewisKate Crookes
- Topics
- Face Recognition and Perception (29 papers)Evolutionary Psychology and Human Behavior (15 papers)Face recognition and analysis (10 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Journals
- PLoS ONEScientific ReportsCognition
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Rachel A. Robbins
36 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Cognitive Neuroscience 1.4k
- Experimental and Cognitive Psychology 720
- Computer Vision and Pattern Recognition 412
- Social Psychology 251
- Developmental and Educational Psychology 220
Countries citing papers authored by Rachel A. Robbins
This map shows the geographic impact of Rachel A. Robbins'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 Rachel A. Robbins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel A. Robbins more than expected).
Fields of papers citing papers by Rachel A. Robbins
This network shows the impact of papers produced by Rachel A. Robbins. 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 Rachel A. Robbins. The network helps show where Rachel A. Robbins may publish in the future.
Co-authorship network of co-authors of Rachel A. Robbins
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel A. Robbins. A scholar is included among the top collaborators of Rachel A. Robbins 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 Rachel A. Robbins. Rachel A. Robbins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 43 | |
| 4 | 12 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 13 | |
| 8 | 12 | |
| 9 | 19 | |
| 10 | 15 | |
| 11 | 17 | |
| 12 | A Review and Clarification of the Terms “holistic,” “configural,” and “relational” in the Face Perception Literaturebreakdown → | 772 |
| 13 | 64 | |
| 14 | 23 | |
| 15 | 16 | |
| 16 | 71 | |
| 17 | 50 | |
| 18 | 41 | |
| 19 | 94 | |
| 20 | 75 |
About Rachel A. Robbins
Rachel A. Robbins is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Face Recognition and Perception (29 papers), Evolutionary Psychology and Human Behavior (15 papers) and Face recognition and analysis (10 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Experimental and Cognitive Psychology (720 citations) and Computer Vision and Pattern Recognition (412 citations). Rachel A. Robbins has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Daniel W. Piepers, Elinor McKone, Max Coltheart, Daphne Maurer, Mark Edwards, Catherine J. Mondloch, Terri L. Lewis, Kate Crookes, Tamara Watson and Amy Dawel. Their work appears in journals such as PLoS ONE, Scientific Reports and Cognition.
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.