Thomas Griffiths
Impact in
- General Social Sciences top 0.2%
- Artificial Intelligence top 2%
- Topic Modeling
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Natural Language Processing Techniques
Papers in
-
- Bayesian Modeling and Causal Inference 3
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Authorship Attribution and Profiling 2
- Artificial Intelligence in Games 1
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- Advanced Image and Video Retrieval Techniques 2
- Face recognition and analysis 1
- Co-authors
- Michal Rosen‐Zvi (2 shared papers)Mark Steyvers (2 shared papers)Padhraic Smyth (2 shared papers)Chaitanya Chemudugunta (1 shared paper)Edward Vul (1 shared paper)Noah D. Goodman (2 shared papers)Haibo Yu (3 shared papers)Trevor Darrell (1 shared paper)
- Journals
- ACM Transactions on Information Systems (1 paper)Journal of Computational Chemistry (1 paper)Journal of Vision (1 paper)Journal of the American Chemical Society (1 paper)Chemical Physics Letters (1 paper)
- Partner nations
- AustraliaUnited StatesItaly
In The Last Decade
Thomas Griffiths
15 papers receiving 1.1k citations
Thomas Griffiths's Hit Papers
Peers
Comparison fields: 5 of 109
- General Social Sciences 104
- Artificial Intelligence 815
- Statistical and Nonlinear Physics 258
- Information Systems 396
- Computer Science Applications 50
Countries citing papers authored by Thomas Griffiths
This map shows the geographic impact of Thomas 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 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 Griffiths more than expected).
Fields of papers citing papers by Thomas Griffiths
This network shows the impact of papers produced by Thomas 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 Griffiths. The network helps show where Thomas Griffiths may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Griffiths, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The author-topic model for authors and documents Hit paper breakdown → | 2004 | 877 |
| 2 | 2010 | 203 | |
| 3 | One and Done? Optimal Decisions from Very Few Samples | 2009 | 55 |
| 4 | Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies | 2013 | 24 |
| 5 | 2013 | 17 | |
| 6 | 2014 | 10 | |
| 7 | 2016 | 9 | |
| 8 | 2009 | 6 | |
| 9 | 2019 | 4 | |
| 10 | TRINCHERA DISTRIBUTION IN THE SIERRA MADRE OCCIDENTAL, MEXICO. | 1966 | 4 |
| 11 | 2024 | 3 | |
| 12 | San Juan Country | 1984 | 3 |
| 13 | A Rational Analysis of Rule-based Concept Learning | 2007 | 2 |
| 14 | 2018 | 1 | |
| 15 | 2014 | 1 |
About Thomas Griffiths
Thomas Griffiths is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Organic Chemistry, Molecular Biology and Materials Chemistry, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (3 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Authorship Attribution and Profiling (2 papers), Enzyme Structure and Function (2 papers), Artificial Intelligence in Games (1 paper) and Face recognition and analysis (1 paper). The work is most often cited by research in General Social Sciences (104 citations), Artificial Intelligence (815 citations), Statistical and Nonlinear Physics (258 citations), Information Systems (396 citations) and Computer Science Applications (50 citations). Thomas Griffiths has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Michal Rosen‐Zvi, Mark Steyvers, Padhraic Smyth, Chaitanya Chemudugunta, Edward Vul, Noah D. Goodman, Haibo Yu, Trevor Darrell, Joseph L. Austerweil and Yangqing Jia. Their work appears in journals such as ACM Transactions on Information Systems, Journal of Computational Chemistry, Journal of Vision, Journal of the American Chemical Society and Chemical Physics Letters.
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.