Thomas L. Griffiths
About
In The Last Decade
Thomas L. Griffiths
376 papers receiving 24.1k citations
Hit Papers
Peers
Comparison fields: 5 of 219
- Artificial Intelligence 12.1k
- Cognitive Neuroscience 5.5k
- Developmental and Educational Psychology 4.8k
- Experimental and Cognitive Psychology 2.8k
- Cultural Studies 2.3k
Countries citing papers authored by Thomas L. Griffiths
This map shows the geographic impact of Thomas L. Griffiths'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 Thomas L. Griffiths with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas L. Griffiths more than expected).
Fields of papers citing papers by Thomas L. Griffiths
This network shows the impact of papers produced by Thomas L. Griffiths. 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 Thomas L. Griffiths. The network helps show where Thomas L. Griffiths may publish in the future.
Co-authorship network of co-authors of Thomas L. Griffiths
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas L. Griffiths. A scholar is included among the top collaborators of Thomas L. Griffiths 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 Thomas L. Griffiths. Thomas L. Griffiths 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 | 12 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 115 | |
| 9 | 23 | |
| 10 | Integrating explanation and prediction in computational social science breakdown → | 191 |
| 11 | Respect the code: Speakers expect novel conventions to generalize within but not across social group boundaries | 1 |
| 12 | How Can Memory-Augmented Neural Networks Pass a False-Belief Task? | 10 |
| 13 | 28 | |
| 14 | 15 | |
| 15 | Is Holism A Problem For Inductive Inference? A Computational Analysis | 1 |
| 16 | Segmenting and Recognizing Human Action using Low-level Video Features | 7 |
| 17 | The effect of distributional information on feature learning | 1 |
| 18 | Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling | 50 |
| 19 | Nonparametric Latent Feature Models for Link Prediction | 230 |
| 20 | A Rational Account of the Perceptual Magnet Effect | 15 |
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.