Beth Baribault
Impact in
- General Decision Sciences top 10%
- Decision-Making and Behavioral Economics
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- Mental Health Research Topics
Papers in
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- Neural dynamics and brain function 2
- Neural and Behavioral Psychology Studies 2
- Functional Brain Connectivity Studies 2
- Psychology of Moral and Emotional Judgment 1
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- Mental Health Research Topics 2
- Evolutionary Psychology and Human Behavior 1
- Co-authors
- Peter A. Edelsbrunner (1 shared paper)Anne Collins (4 shared papers)Quentin F. Gronau (1 shared paper)Alexander Etz (1 shared paper)Fabian Dablander (1 shared paper)Jennifer S. Trueblood (2 shared papers)Zita Oravecz (2 shared papers)Chris Donkin (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)eLife (1 paper)Psychonomic Bulletin & Review (1 paper)PLoS Computational Biology (1 paper)Psychological Methods (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Beth Baribault
7 papers receiving 218 citations
Peers
Comparison fields: 5 of 71
- General Decision Sciences 22
- Experimental and Cognitive Psychology 54
- Statistics, Probability and Uncertainty 29
- Cognitive Neuroscience 75
- Applied Psychology 18
Countries citing papers authored by Beth Baribault
This map shows the geographic impact of Beth Baribault'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 Beth Baribault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth Baribault more than expected).
Fields of papers citing papers by Beth Baribault
This network shows the impact of papers produced by Beth Baribault. 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 Beth Baribault. The network helps show where Beth Baribault may publish in the future.
Co-authors
The 23 scholars most cited alongside Beth Baribault, 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 | 2018 | 85 | |
| 2 | 2017 | 75 | |
| 3 | 2021 | 21 | |
| 4 | 2023 | 15 | |
| 5 | 2021 | 14 | |
| 6 | 2023 | 9 | |
| 7 | Robust Tests of Theory With Randomly Sampled Experiments | 2017 | 1 |
About Beth Baribault
Beth Baribault is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Statistics, Probability and Uncertainty, Statistics and Probability and Molecular Biology, having authored 7 papers that have together received 220 indexed citations. Recurring topics across this work include Mental Health Research Topics (2 papers), Neural dynamics and brain function (2 papers), Neural and Behavioral Psychology Studies (2 papers), Functional Brain Connectivity Studies (2 papers), Psychology of Moral and Emotional Judgment (1 paper), Bayesian Modeling and Causal Inference (1 paper), Advanced Text Analysis Techniques (1 paper) and Evolutionary Psychology and Human Behavior (1 paper). The work is most often cited by research in General Decision Sciences (22 citations), Experimental and Cognitive Psychology (54 citations), Statistics, Probability and Uncertainty (29 citations), Cognitive Neuroscience (75 citations) and Applied Psychology (18 citations). Beth Baribault has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Peter A. Edelsbrunner, Anne Collins, Quentin F. Gronau, Alexander Etz, Fabian Dablander, Jennifer S. Trueblood, Zita Oravecz, Chris Donkin, Daniel R. Little and Corey N. White. Their work appears in journals such as Proceedings of the National Academy of Sciences, eLife, Psychonomic Bulletin & Review, PLoS Computational Biology and Psychological Methods.
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.