Thomas Griffiths

34 total papers · 1.8k total citations
15 papers, 1.2k citations indexed

About

Thomas Griffiths is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Organic Chemistry. According to data from OpenAlex, Thomas Griffiths has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Organic Chemistry. Recurrent topics in Thomas Griffiths's work include Bayesian Modeling and Causal Inference (3 papers), Topic Modeling (3 papers) and Authorship Attribution and Profiling (2 papers). Thomas Griffiths is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Topic Modeling (3 papers) and Authorship Attribution and Profiling (2 papers). Thomas Griffiths collaborates with scholars based in United States, Australia and United Kingdom. Thomas Griffiths's co-authors include Padhraic Smyth, Michal Rosen‐Zvi, Mark Steyvers, Chaitanya Chemudugunta, Edward Vul, Noah D. Goodman, Haibo Yu, Trevor Darrell, Joseph L. Austerweil and Yangqing Jia and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Physics Letters and Physical Chemistry Chemical Physics.

In The Last Decade

Thomas Griffiths

15 papers receiving 1.1k citations

Hit Papers

The author-topic model fo... 2004 2026 2011 2018 2004 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Griffiths 816 396 260 119 104 15 1.2k
David Hall 1.1k 1.3× 354 0.9× 153 0.6× 125 1.1× 168 1.6× 19 1.5k
David Andrzejewski 709 0.9× 232 0.6× 77 0.3× 103 0.9× 130 1.3× 11 981
Chong Wang 849 1.0× 240 0.6× 170 0.7× 99 0.8× 329 3.2× 8 1.5k
Jiaying Liu 556 0.7× 331 0.8× 269 1.0× 107 0.9× 28 0.3× 42 1.1k
Cunchao Tu 1.2k 1.5× 245 0.6× 428 1.6× 92 0.8× 30 0.3× 22 1.5k
James R. Foulds 589 0.7× 191 0.5× 81 0.3× 205 1.7× 33 0.3× 41 1.1k
Z. Shen 621 0.8× 284 0.7× 231 0.9× 150 1.3× 17 0.2× 36 1.3k
David Buttler 535 0.7× 448 1.1× 67 0.3× 62 0.5× 62 0.6× 40 979
Andreas Both 710 0.9× 254 0.6× 103 0.4× 37 0.3× 249 2.4× 22 1.4k
Bert Huang 766 0.9× 176 0.4× 141 0.5× 229 1.9× 26 0.3× 50 1.3k

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-authorship network of co-authors of Thomas Griffiths

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Griffiths. A scholar is included among the top collaborators of Thomas 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 Griffiths. Thomas Griffiths is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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