Emily Allen
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Cardiology and Cardiovascular Medicine
- Signal Processing top 10%
- Co-authors
- Andrew J. OxenhamKendrick KayThomas NaselarisYihan WuGhislain St-YvesIan CharestBen HutchinsonCheryl A. Olman
- Topics
- Neural dynamics and brain function (8 papers)Cardiac electrophysiology and arrhythmias (6 papers)Face Recognition and Perception (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Emily Allen
25 papers receiving 619 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 457
- Experimental and Cognitive Psychology 96
- Computer Vision and Pattern Recognition 76
- Cardiology and Cardiovascular Medicine 55
- Signal Processing 48
Countries citing papers authored by Emily Allen
This map shows the geographic impact of Emily Allen'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 Emily Allen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Allen more than expected).
Fields of papers citing papers by Emily Allen
This network shows the impact of papers produced by Emily Allen. 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 Emily Allen. The network helps show where Emily Allen may publish in the future.
Co-authorship network of co-authors of Emily Allen
This figure shows the co-authorship network connecting the top 25 collaborators of Emily Allen. A scholar is included among the top collaborators of Emily Allen 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 Emily Allen. Emily Allen 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 | 18 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 29 | |
| 8 | A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligencebreakdown → | 211 |
| 9 | 1 | |
| 10 | 78 | |
| 11 | 14 | |
| 12 | 9 | |
| 13 | 7 | |
| 14 | 20 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 16 | |
| 18 | 62 | |
| 19 | 13 | |
| 20 | 16 |
About Emily Allen
Emily Allen is a scholar working on Cognitive Neuroscience, Biophysics and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 630 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Cardiac electrophysiology and arrhythmias (6 papers) and Face Recognition and Perception (5 papers). The work is most often cited by research in Cognitive Neuroscience (457 citations), Experimental and Cognitive Psychology (96 citations) and Sensory Systems (30 citations). Emily Allen has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Andrew J. Oxenham, Kendrick Kay, Thomas Naselaris, Yihan Wu, Ghislain St-Yves, Ian Charest, Ben Hutchinson, Cheryl A. Olman, Philip Burton and Jacob S. Prince. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.