Beau Sievers
Impact in
- Developmental Biology top 10%
- Animal Vocal Communication and Behavior
- Cognitive Neuroscience top 10%
- Neuroscience and Music Perception
Papers in
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- Psychology of Moral and Emotional Judgment 3
- Neuroscience and Music Perception 2
- Neural dynamics and brain function 1
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- Multisensory perception and integration 2
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 1
- Co-authors
- Thalia Wheatley (5 shared papers)Michael A. Casey (1 shared paper)Larry Polansky (1 shared paper)Daniel T. Gilbert (1 shared paper)Timothy D. Wilson (1 shared paper)David M. Amodio (1 shared paper)Carolyn Parkinson (1 shared paper)Peter J. Kohler (1 shared paper)
- Journals
- Nature Communications (1 paper)Social Cognitive and Affective Neuroscience (1 paper)Journal of Cognitive Neuroscience (1 paper)Science (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)
- Partner nations
- United StatesGermanyArgentina
In The Last Decade
Beau Sievers
8 papers receiving 291 citations
Peers
Comparison fields: 5 of 69
- Developmental Biology 22
- Cognitive Neuroscience 182
- Experimental and Cognitive Psychology 118
- Music 29
- Social Psychology 93
Countries citing papers authored by Beau Sievers
This map shows the geographic impact of Beau Sievers'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 Beau Sievers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beau Sievers more than expected).
Fields of papers citing papers by Beau Sievers
This network shows the impact of papers produced by Beau Sievers. 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 Beau Sievers. The network helps show where Beau Sievers may publish in the future.
Co-authors
The 18 scholars most cited alongside Beau Sievers, 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 | 2012 | 149 | |
| 2 | 2018 | 67 | |
| 3 | 2012 | 40 | |
| 4 | 2019 | 22 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 3 | |
| 7 | 2025 | 3 | |
| 8 | 2023 | 1 |
About Beau Sievers
Beau Sievers is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Sociology and Political Science and Developmental Biology, having authored 8 papers that have together received 299 indexed citations. Recurring topics across this work include Psychology of Moral and Emotional Judgment (3 papers), Multisensory perception and integration (2 papers), Neuroscience and Music Perception (2 papers), Action Observation and Synchronization (2 papers), Crop Yield and Soil Fertility (1 paper), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper), Soil Carbon and Nitrogen Dynamics (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Developmental Biology (22 citations), Cognitive Neuroscience (182 citations), Experimental and Cognitive Psychology (118 citations), Music (29 citations) and Social Psychology (93 citations). Beau Sievers has collaborated with scholars based in United States, Germany and Argentina. Frequent co-authors include Thalia Wheatley, Michael A. Casey, Larry Polansky, Daniel T. Gilbert, Timothy D. Wilson, David M. Amodio, Carolyn Parkinson, Peter J. Kohler, William Haslett and Uri Hasson. Their work appears in journals such as Nature Communications, Social Cognitive and Affective Neuroscience, Journal of Cognitive Neuroscience, Science and Proceedings of the Royal Society B Biological Sciences.
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.