Wolf Vanpaemel
About
In The Last Decade
Wolf Vanpaemel
64 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Experimental and Cognitive Psychology 701
- Cognitive Neuroscience 691
- Artificial Intelligence 484
- Developmental and Educational Psychology 379
- Statistics, Probability and Uncertainty 371
Countries citing papers authored by Wolf Vanpaemel
This map shows the geographic impact of Wolf Vanpaemel'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 Wolf Vanpaemel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolf Vanpaemel more than expected).
Fields of papers citing papers by Wolf Vanpaemel
This network shows the impact of papers produced by Wolf Vanpaemel. 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 Wolf Vanpaemel. The network helps show where Wolf Vanpaemel may publish in the future.
Co-authorship network of co-authors of Wolf Vanpaemel
This figure shows the co-authorship network connecting the top 25 collaborators of Wolf Vanpaemel. A scholar is included among the top collaborators of Wolf Vanpaemel 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 Wolf Vanpaemel. Wolf Vanpaemel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 59 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 136 | |
| 11 | 149 | |
| 12 | Explaining Categorization Response Times with Varying Abstraction. | 1 |
| 13 | Discovering Inductive Biases in Categorization through Iterated Learning | 2 |
| 14 | 27 | |
| 15 | Measuring model complexity with the prior predictive | 12 |
| 16 | The role of extensional information in conceptual combination | 1 |
| 17 | Modeling typicality: Extending the prototype view | 3 |
| 18 | Yet another look at thirty categorization results | 2 |
| 19 | A varying abstraction model for categorization | 25 |
| 20 | Training Produces Suboptimal Adaptation to Redundant Instrument Failure in a Simulated Human-Machine Interface | 1 |
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.