Thomas Griffiths

1.9k citations
15 papers · 1.2k · 1 hit paper · h-index 7

Impact in

Papers in

    • Bayesian Modeling and Causal Inference 3
    • Topic Modeling 3
    • Authorship Attribution and Profiling 2
    • Natural Language Processing Techniques 2
    • Artificial Intelligence in Games 1
    • Domain Adaptation and Few-Shot Learning 1
    • Advanced Image and Video Retrieval Techniques 2

Thomas Griffiths

15 papers receiving 1.1k citations

Thomas Griffiths's Hit Papers

The author-topic model for authors and documents 2004 · 879 citations
8790+7+14Years since publication250500750

Peers

Thomas Griffiths
Comparison fields: 5 of 109
  • General Social Sciences 103
  • Artificial Intelligence 816
  • Statistical and Nonlinear Physics 258
  • Information Systems 394
  • Computer Science Applications 50
Replace David Hall with:
David Hall United States
David Andrzejewski United States
Stefano Baccianella Italy
William Webber Australia
Oren Tsur Israel
Jianshu Weng Singapore
Marco Pennacchiotti United States
Xuan-Hieu Phan Japan
Franciska de Jong Netherlands
Sara Rosenthal United States
Thomas Griffiths relative to David Hall United States David Hall's profile →
Citations per field
00.5×1.7×
David Hall · 1×
Citations per year

Countries citing papers authored by Thomas Griffiths

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Thomas Griffiths Line = papers co-authored together Thomas Griffiths links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
The author-topic model for authors and documents
Hit paper breakdown →
2004879
2 2010203
3
One and Done? Optimal Decisions from Very Few Samples
200955
4
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies
201324
5 201317
6 201410
7 20169
8 20096
9 20194
10
TRINCHERA DISTRIBUTION IN THE SIERRA MADRE OCCIDENTAL, MEXICO.
19664
11 20243
12
San Juan Country
19843
13
A Rational Analysis of Rule-based Concept Learning
20072
14 20181
15 20141

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), Enzyme Structure and Function (2 papers), Authorship Attribution and Profiling (2 papers), Natural Language Processing Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Artificial Intelligence in Games (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in General Social Sciences (103 citations), Artificial Intelligence (816 citations), Statistical and Nonlinear Physics (258 citations), Information Systems (394 citations) and Computer Science Applications (50 citations). Thomas Griffiths has collaborated with scholars based in Australia, United States and Spain. Frequent co-authors include Padhraic Smyth, Mark Steyvers, Michal Rosen‐Zvi, Chaitanya Chemudugunta, Noah D. Goodman, Edward Vul, Haibo Yu, Joseph L. Austerweil, Trevor Darrell and Joshua T. Abbott. Their work appears in journals such as Journal of Computational Chemistry, ACM Transactions on Information Systems, International Journal of Multimedia Information Retrieval, Journal of the American Chemical Society and Physical Chemistry Chemical Physics.

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.

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