Linda Jeffery
- Cognitive Neuroscience top 0.5%
- Experimental and Cognitive Psychology top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Clinical Psychology top 5%
- Social Psychology top 5%
- Co-authors
- Gillian RhodesColin W. G. CliffordTamara WatsonElizabeth PellicanoDavid A. LeopoldElinor McKoneKen NakayamaRomina Palermo
- Topics
- Face Recognition and Perception (71 papers)Evolutionary Psychology and Human Behavior (43 papers)Face recognition and analysis (24 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Linda Jeffery
83 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 110
- Cognitive Neuroscience 2.8k
- Experimental and Cognitive Psychology 1.8k
- Computer Vision and Pattern Recognition 758
- Clinical Psychology 361
- Social Psychology 325
Countries citing papers authored by Linda Jeffery
This map shows the geographic impact of Linda Jeffery'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 Linda Jeffery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Jeffery more than expected).
Fields of papers citing papers by Linda Jeffery
This network shows the impact of papers produced by Linda Jeffery. 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 Linda Jeffery. The network helps show where Linda Jeffery may publish in the future.
Co-authorship network of co-authors of Linda Jeffery
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Jeffery. A scholar is included among the top collaborators of Linda Jeffery 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 Linda Jeffery. Linda Jeffery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 25 | |
| 3 | 8 | |
| 4 | 70 | |
| 5 | 1 | |
| 6 | 22 | |
| 7 | 43 | |
| 8 | 162 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 37 | |
| 12 | 49 | |
| 13 | 5 | |
| 14 | 63 | |
| 15 | 56 | |
| 16 | 52 | |
| 17 | 154 | |
| 18 | 27 | |
| 19 | 16 | |
| 20 | 173 |
About Linda Jeffery
Linda Jeffery is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 83 papers that have together received 3.3k indexed citations. Recurring topics across this work include Face Recognition and Perception (71 papers), Evolutionary Psychology and Human Behavior (43 papers) and Face recognition and analysis (24 papers). The work is most often cited by research in Cognitive Neuroscience (2.8k citations), Experimental and Cognitive Psychology (1.8k citations) and Computer Vision and Pattern Recognition (758 citations). Linda Jeffery has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Gillian Rhodes, Colin W. G. Clifford, Tamara Watson, Elizabeth Pellicano, David A. Leopold, Elinor McKone, Ken Nakayama, Romina Palermo, Emma Jaquet and Kate Crookes. Their work appears in journals such as PLoS ONE, Current Biology and Scientific Reports.
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.