Anna Coenen
- Cognitive Neuroscience
- Developmental and Educational Psychology top 10%
- Artificial Intelligence
- Experimental and Cognitive Psychology
- General Decision Sciences top 10%
- Co-authors
- Todd M. GureckisBob RehderDoug MarkantPatricia P. ChanJessica B. HamrickJay B. MartinAlexander RichDavid Halpern
- Topics
- Child and Animal Learning Development (5 papers)Decision-Making and Behavioral Economics (4 papers)Bayesian Modeling and Causal Inference (3 papers)
- Journals
- Cognitive PsychologyJournal of Experimental Psychology Learning Memory and CognitionPsychonomic Bulletin & Review
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Anna Coenen
8 papers receiving 232 citations
Peers
Comparison fields: 5 of 57
- Cognitive Neuroscience 87
- Developmental and Educational Psychology 83
- Artificial Intelligence 73
- Experimental and Cognitive Psychology 54
- General Decision Sciences 43
Countries citing papers authored by Anna Coenen
This map shows the geographic impact of Anna Coenen'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 Anna Coenen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Coenen more than expected).
Fields of papers citing papers by Anna Coenen
This network shows the impact of papers produced by Anna Coenen. 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 Anna Coenen. The network helps show where Anna Coenen may publish in the future.
Co-authorship network of co-authors of Anna Coenen
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Coenen. A scholar is included among the top collaborators of Anna Coenen 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 Anna Coenen. Anna Coenen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 41 | |
| 3 | Beliefs about sparsity affect causal experimentation | 2 |
| 4 | Are biases when making causal interventions related to biases in belief updating | 4 |
| 5 | 136 | |
| 6 | 51 | |
| 7 | Decisions to intervene on causal systems are adaptively selected | 4 |
| 8 | Online Experiments using jsPsych, psiTurk, and Amazon Mechanical Turk | 0 |
| 9 | Using Mechanical Turk and PsiTurk for Dynamic Web Experiments. | 1 |
| 10 | Predicting moral judgments of corporate responsibility with formal decision heuristics | 4 |
About Anna Coenen
Anna Coenen is a scholar working on General Decision Sciences, Developmental and Educational Psychology and Computer Science Applications, having authored 10 papers that have together received 250 indexed citations. Recurring topics across this work include Child and Animal Learning Development (5 papers), Decision-Making and Behavioral Economics (4 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in General Decision Sciences (43 citations), Developmental and Educational Psychology (83 citations) and Cognitive Neuroscience (87 citations). Anna Coenen has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Todd M. Gureckis, Bob Rehder, Doug Markant, Patricia P. Chan, Jessica B. Hamrick, Jay B. Martin, Alexander Rich, David Halpern, John V. McDonnell and Jonathan D. Nelson. Their work appears in journals such as Cognitive Psychology, Journal of Experimental Psychology Learning Memory and Cognition and Psychonomic Bulletin & Review.
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.