Michael L. Kalish
About
In The Last Decade
Michael L. Kalish
68 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Artificial Intelligence 1.2k
- Cognitive Neuroscience 1.1k
- Virology 784
- Infectious Diseases 733
- Computer Vision and Pattern Recognition 645
Countries citing papers authored by Michael L. Kalish
This map shows the geographic impact of Michael L. Kalish'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 Michael L. Kalish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael L. Kalish more than expected).
Fields of papers citing papers by Michael L. Kalish
This network shows the impact of papers produced by Michael L. Kalish. 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 Michael L. Kalish. The network helps show where Michael L. Kalish may publish in the future.
Co-authorship network of co-authors of Michael L. Kalish
This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Kalish. A scholar is included among the top collaborators of Michael L. Kalish 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 Michael L. Kalish. Michael L. Kalish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | A Bayesian Latent Mixture Approach to Modeling Individual Differences in Categorization Using General Recognition Theory | 3 |
| 4 | 28 | |
| 5 | 42 | |
| 6 | 50 | |
| 7 | 4 | |
| 8 | Discovering Inductive Biases in Categorization through Iterated Learning | 2 |
| 9 | Framed: Factors influencing reference frame choice in tabletop space | 1 |
| 10 | 52 | |
| 11 | Advances in Neural Information Processing Systems 21 breakdown → | 1571 |
| 12 | Modeling human function learning with Gaussian processes | 39 |
| 13 | 179 | |
| 14 | Revealing Priors on Category Structures Through Iterated Learning | 5 |
| 15 | 11 | |
| 16 | 38 | |
| 17 | 12 | |
| 18 | 15 | |
| 19 | 73 | |
| 20 | 116 |
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.