Gina Rippon
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 2%
- Clinical Psychology top 5%
- Developmental and Educational Psychology top 5%
- Social Psychology top 5%
- Co-authors
- Jill BoucherJon BrockCaroline BrownRobert A. SeymourOlivia LongeKlaus KesslerAureliu LavricFrances A. Maratos
- Topics
- Neural and Behavioral Psychology Studies (15 papers)EEG and Brain-Computer Interfaces (11 papers)Functional Brain Connectivity Studies (11 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyDevelopmental and Educational Psychology
- Journals
- Nature CommunicationsNeuroImageBrain
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Gina Rippon
46 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 115
- Cognitive Neuroscience 1.4k
- Experimental and Cognitive Psychology 470
- Clinical Psychology 338
- Developmental and Educational Psychology 256
- Social Psychology 219
Countries citing papers authored by Gina Rippon
This map shows the geographic impact of Gina Rippon'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 Gina Rippon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina Rippon more than expected).
Fields of papers citing papers by Gina Rippon
This network shows the impact of papers produced by Gina Rippon. 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 Gina Rippon. The network helps show where Gina Rippon may publish in the future.
Co-authorship network of co-authors of Gina Rippon
This figure shows the co-authorship network connecting the top 25 collaborators of Gina Rippon. A scholar is included among the top collaborators of Gina Rippon 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 Gina Rippon. Gina Rippon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 30 | |
| 4 | 10 | |
| 5 | 58 | |
| 6 | 54 | |
| 7 | 27 | |
| 8 | 51 | |
| 9 | 58 | |
| 10 | 29 | |
| 11 | 232 | |
| 12 | 298 | |
| 13 | 28 | |
| 14 | 19 | |
| 15 | 47 | |
| 16 | 58 | |
| 17 | Commentary on "A Phenomenology of Dyslexia" | 1 |
| 18 | 35 | |
| 19 | 45 | |
| 20 | 2 |
About Gina Rippon
Gina Rippon is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Behavioral Neuroscience, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (15 papers), EEG and Brain-Computer Interfaces (11 papers) and Functional Brain Connectivity Studies (11 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Experimental and Cognitive Psychology (470 citations) and Developmental and Educational Psychology (256 citations). Gina Rippon has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jill Boucher, Jon Brock, Caroline Brown, Robert A. Seymour, Olivia Longe, Klaus Kessler, Aureliu Lavric, Frances A. Maratos, Carl Senior and Paul Gilbert. Their work appears in journals such as Nature Communications, NeuroImage and Brain.
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.