Ben Deverett
Impact in
- Neurology top 5%
- Vestibular and auditory disorders
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
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- Neural dynamics and brain function 3
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- Olfactory and Sensory Function Studies 2
- Hearing, Cochlea, Tinnitus, Genetics 2
- Co-authors
- Samuel S.‐H. Wang (4 shared papers)Talmo Pereira (3 shared papers)Aleksandra Badura (2 shared papers)Sue Ann Koay (2 shared papers)David W. Tank (2 shared papers)Jessica L. Verpeut (1 shared paper)Thomas J. Pisano (1 shared paper)Andrea Giovannucci (2 shared papers)
- Journals
- eLife (2 papers)Nature Communications (1 paper)Nature Neuroscience (1 paper)Cognitive Science (1 paper)Cognition (1 paper)
- Partner nations
- United StatesNetherlandsSpain
In The Last Decade
Ben Deverett
10 papers receiving 433 citations
Peers
Comparison fields: 5 of 58
- Neurology 222
- Sensory Systems 93
- Cognitive Neuroscience 242
- Endocrine and Autonomic Systems 53
- Cellular and Molecular Neuroscience 140
Countries citing papers authored by Ben Deverett
This map shows the geographic impact of Ben Deverett'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 Ben Deverett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Deverett more than expected).
Fields of papers citing papers by Ben Deverett
This network shows the impact of papers produced by Ben Deverett. 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 Ben Deverett. The network helps show where Ben Deverett may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Deverett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 144 | |
| 2 | 2018 | 129 | |
| 3 | 2018 | 54 | |
| 4 | 2018 | 49 | |
| 5 | 2019 | 39 | |
| 6 | 2017 | 13 | |
| 7 | 2018 | 6 | |
| 8 | Interval timing in deep reinforcement learning agents | 2019 | 2 |
| 9 | 2018 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2012 | 0 | |
| 12 | 2011 | 0 |
About Ben Deverett
Ben Deverett is a scholar working on Cognitive Neuroscience, Sensory Systems, Neurology, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 439 indexed citations. Recurring topics across this work include Vestibular and auditory disorders (4 papers), Neural dynamics and brain function (3 papers), Neuroscience of respiration and sleep (2 papers), Bayesian Modeling and Causal Inference (2 papers), Olfactory and Sensory Function Studies (2 papers), Child and Animal Learning Development (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers) and Glaucoma and retinal disorders (1 paper). The work is most often cited by research in Neurology (222 citations), Sensory Systems (93 citations), Cognitive Neuroscience (242 citations), Endocrine and Autonomic Systems (53 citations) and Cellular and Molecular Neuroscience (140 citations). Ben Deverett has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Samuel S.‐H. Wang, Talmo Pereira, Aleksandra Badura, Sue Ann Koay, David W. Tank, Jessica L. Verpeut, Thomas J. Pisano, Andrea Giovannucci, Eftychios A. Pnevmatikakis and Liam Paninski. Their work appears in journals such as eLife, Nature Communications, Nature Neuroscience, Cognitive Science 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.