Joseph L. Austerweil
About
In The Last Decade
Joseph L. Austerweil
47 papers receiving 689 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 324
- Cognitive Neuroscience 250
- Developmental and Educational Psychology 159
- Experimental and Cognitive Psychology 153
- Social Psychology 83
Countries citing papers authored by Joseph L. Austerweil
This map shows the geographic impact of Joseph L. Austerweil'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 Joseph L. Austerweil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph L. Austerweil more than expected).
Fields of papers citing papers by Joseph L. Austerweil
This network shows the impact of papers produced by Joseph L. Austerweil. 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 Joseph L. Austerweil. The network helps show where Joseph L. Austerweil may publish in the future.
Co-authorship network of co-authors of Joseph L. Austerweil
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph L. Austerweil. A scholar is included among the top collaborators of Joseph L. Austerweil 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 Joseph L. Austerweil. Joseph L. Austerweil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Cognitive Properties of Norm Representations | 3 |
| 2 | Inherence bias in explanation increases with age and cognitive impairment | 1 |
| 3 | Predictors of L2 word learning accuracy: A big data investigation | 3 |
| 4 | Effectively Learning from Pedagogical Demonstrations. | 1 |
| 5 | Do Humans Navigate via Random Walks? Modeling Navigation in a Semantic Word Game. | 3 |
| 6 | PACKER: An Exemplar Model of Category Generation. | 1 |
| 7 | Examining Search Processes in Low and High Creative Individuals with Random Walks. | 26 |
| 8 | U-INVITE: Estimating Individual Semantic Networks from Fluency Data. | 12 |
| 9 | Showing versus doing: Teaching by demonstration | 29 |
| 10 | Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction | 32 |
| 11 | Feature-based Joint Planning and Norm Learning in Collaborative Games. | 5 |
| 12 | Teaching with Rewards and Punishments: Reinforcement or Communication? | 15 |
| 13 | 15 | |
| 14 | Comparing the inductive biases of simple neural networks and Bayesian models | 1 |
| 15 | Constructing a hypothesis space from the Web for large-scale Bayesian word learning. | 9 |
| 16 | Learning invariant features using the Transformed Indian Buffet Process | 11 |
| 17 | 9 | |
| 18 | The effect of distributional information on feature learning | 1 |
| 19 | Analyzing human feature learning as nonparametric Bayesian inference | 17 |
| 20 | A rational analysis of confirmation with deterministic hypotheses | 7 |
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.