Beth Baribault
Impact in
- General Decision Sciences top 10%
- Decision-Making and Behavioral Economics
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- Meta-analysis and systematic reviews
Papers in
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- Neural and Behavioral Psychology Studies 2
- Functional Brain Connectivity Studies 2
- Neural dynamics and brain function 2
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- Mental Health Research Topics 2
- Evolutionary Psychology and Human Behavior 1
- Co-authors
- Fabian Dablander (1 shared paper)Alexander Etz (1 shared paper)Quentin F. Gronau (1 shared paper)Peter A. Edelsbrunner (1 shared paper)Anne Collins (4 shared papers)Chris Donkin (2 shared papers)Joachim Vandekerckhove (2 shared papers)Paul De Boeck (1 shared paper)
- Journals
- Psychological Methods (1 paper)eLife (1 paper)Cerebral Cortex (1 paper)PLoS Computational Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Beth Baribault
7 papers receiving 205 citations
Peers
Comparison fields: 5 of 71
- General Decision Sciences 21
- Statistics, Probability and Uncertainty 31
- Applied Psychology 22
- Experimental and Cognitive Psychology 50
- Cognitive Neuroscience 72
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 | 82 | |
| 2 | 2017 | 70 | |
| 3 | 2021 | 19 | |
| 4 | 2023 | 13 | |
| 5 | 2021 | 13 | |
| 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 207 indexed citations. Recurring topics across this work include Mental Health Research Topics (2 papers), Neural and Behavioral Psychology Studies (2 papers), Functional Brain Connectivity Studies (2 papers), Neural dynamics and brain function (2 papers), Evolutionary Psychology and Human Behavior (1 paper), Advanced Text Analysis Techniques (1 paper), Decision-Making and Behavioral Economics (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in General Decision Sciences (21 citations), Statistics, Probability and Uncertainty (31 citations), Applied Psychology (22 citations), Experimental and Cognitive Psychology (50 citations) and Cognitive Neuroscience (72 citations). Beth Baribault has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Fabian Dablander, Alexander Etz, Quentin F. Gronau, Peter A. Edelsbrunner, Anne Collins, Chris Donkin, Joachim Vandekerckhove, Paul De Boeck, Jennifer S. Trueblood and Daniel R. Little. Their work appears in journals such as Psychological Methods, eLife, Cerebral Cortex, PLoS Computational Biology and Proceedings of the National Academy of 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.