Romina Palermo
- Cognitive Neuroscience top 0.5%
- Experimental and Cognitive Psychology top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Clinical Psychology top 2%
- Social Psychology top 2%
- Co-authors
- Gillian RhodesElinor McKoneMax ColtheartDavide RivoltaAmy DawelLaura SchmalzlRichard O’KearneyMegan Willis
- Topics
- Face Recognition and Perception (91 papers)Evolutionary Psychology and Human Behavior (40 papers)Autism Spectrum Disorder Research (22 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Romina Palermo
117 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cognitive Neuroscience 3.6k
- Experimental and Cognitive Psychology 1.9k
- Computer Vision and Pattern Recognition 979
- Clinical Psychology 772
- Social Psychology 698
Countries citing papers authored by Romina Palermo
This map shows the geographic impact of Romina Palermo'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 Romina Palermo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Romina Palermo more than expected).
Fields of papers citing papers by Romina Palermo
This network shows the impact of papers produced by Romina Palermo. 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 Romina Palermo. The network helps show where Romina Palermo may publish in the future.
Co-authorship network of co-authors of Romina Palermo
This figure shows the co-authorship network connecting the top 25 collaborators of Romina Palermo. A scholar is included among the top collaborators of Romina Palermo 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 Romina Palermo. Romina Palermo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 27 | |
| 5 | 7 | |
| 6 | 25 | |
| 7 | 25 | |
| 8 | 26 | |
| 9 | 78 | |
| 10 | 5 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 49 | |
| 15 | 63 | |
| 16 | 20 | |
| 17 | 28 | |
| 18 | Congenital prosopagnosia: a family study | 2 |
| 19 | Affective priming from faces: the influence of spatial frequency, prime duration and amygdala damage | 1 |
| 20 | 227 |
About Romina Palermo
Romina Palermo is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 120 papers that have together received 4.6k indexed citations. Recurring topics across this work include Face Recognition and Perception (91 papers), Evolutionary Psychology and Human Behavior (40 papers) and Autism Spectrum Disorder Research (22 papers). The work is most often cited by research in Cognitive Neuroscience (3.6k citations), Experimental and Cognitive Psychology (1.9k citations) and Computer Vision and Pattern Recognition (979 citations). Romina Palermo has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Gillian Rhodes, Elinor McKone, Max Coltheart, Davide Rivolta, Amy Dawel, Laura Schmalzl, Richard O’Kearney, Megan Willis, Charles Wilson and Linda Jeffery. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.
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.