Rachel Stephens
- Cognitive Neuroscience
- Artificial Intelligence
- General Decision Sciences top 5%
- Developmental and Educational Psychology
- Experimental and Cognitive Psychology
- Co-authors
- Brett K. HayesJohn C. DunnFiona RyanSusan CunninghamDóra MatzkeMichael L. KalishCarolyn SemmlerDanielle Navarro
- Topics
- Decision-Making and Behavioral Economics (7 papers)Child and Animal Learning Development (6 papers)Bayesian Modeling and Causal Inference (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPsychological ReviewCognition
- Partner nations
- AustraliaUnited StatesNetherlands
In The Last Decade
Rachel Stephens
20 papers receiving 229 citations
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 92
- Artificial Intelligence 62
- General Decision Sciences 50
- Developmental and Educational Psychology 34
- Experimental and Cognitive Psychology 31
Countries citing papers authored by Rachel Stephens
This map shows the geographic impact of Rachel Stephens'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 Rachel Stephens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Stephens more than expected).
Fields of papers citing papers by Rachel Stephens
This network shows the impact of papers produced by Rachel Stephens. 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 Rachel Stephens. The network helps show where Rachel Stephens may publish in the future.
Co-authorship network of co-authors of Rachel Stephens
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Stephens. A scholar is included among the top collaborators of Rachel Stephens 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 Rachel Stephens. Rachel Stephens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 15 | |
| 7 | 11 | |
| 8 | 20 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 18 | |
| 12 | 6 | |
| 13 | 21 | |
| 14 | 14 | |
| 15 | A Two-Step Signal Detection Model of Belief Bias. | 1 |
| 16 | 35 | |
| 17 | 0 | |
| 18 | 36 | |
| 19 | 1 | |
| 20 | One of these greebles is not like the others: Semi-supervised models for similarity structures | 2 |
About Rachel Stephens
Rachel Stephens is a scholar working on General Decision Sciences, Health Informatics and Developmental and Educational Psychology, having authored 24 papers that have together received 237 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (7 papers), Child and Animal Learning Development (6 papers) and Bayesian Modeling and Causal Inference (5 papers). The work is most often cited by research in General Decision Sciences (50 citations), Health Informatics (7 citations) and Cognitive Neuroscience (92 citations). Rachel Stephens has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Brett K. Hayes, John C. Dunn, Fiona Ryan, Susan Cunningham, Dóra Matzke, Michael L. Kalish, Carolyn Semmler, Danielle Navarro, James D. Sauer and Shmuel Tiosano. Their work appears in journals such as SHILAP Revista de lepidopterología, Psychological Review 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.