Matthew Hutson

2.0k total citations · 2 hit papers
77 papers, 1.1k citations indexed

About

Matthew Hutson is a scholar working on Artificial Intelligence, Health Informatics and Information Systems. According to data from OpenAlex, Matthew Hutson has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Health Informatics and 6 papers in Information Systems. Recurrent topics in Matthew Hutson's work include Artificial Intelligence in Healthcare and Education (8 papers), Topic Modeling (4 papers) and AI in Service Interactions (3 papers). Matthew Hutson is often cited by papers focused on Artificial Intelligence in Healthcare and Education (8 papers), Topic Modeling (4 papers) and AI in Service Interactions (3 papers). Matthew Hutson collaborates with scholars based in Canada, Cayman Islands and United Kingdom. Matthew Hutson's co-authors include A. Ruzicka, C. Floss, Jon Cohen, Richard M. Stone, Elizabeth Pennisi, Erik Stokstad, Paul Voosen, Ann Gibbons, Jocelyn Kaiser and A. R. Hildebrand and has published in prestigious journals such as Nature, Science and Nature Biotechnology.

In The Last Decade

Matthew Hutson

67 papers receiving 1.0k citations

Hit Papers

Artificial intelligence faces reproducibility crisis 2018 2026 2020 2023 2018 2022 100 200 300

Peers

Matthew Hutson
Rita Frieske Hong Kong
Etsuko Ishii Hong Kong
Tianyu Wu China
Nayeon Lee Hong Kong
Ziwei Ji Hong Kong
Willem Zuidema Netherlands
Andrea Madotto Hong Kong
Rita Frieske Hong Kong
Matthew Hutson
Citations per year, relative to Matthew Hutson Matthew Hutson (= 1×) peers Rita Frieske

Countries citing papers authored by Matthew Hutson

Since Specialization
Citations

This map shows the geographic impact of Matthew Hutson'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 Matthew Hutson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Hutson more than expected).

Fields of papers citing papers by Matthew Hutson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Hutson. 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 Matthew Hutson. The network helps show where Matthew Hutson may publish in the future.

Co-authorship network of co-authors of Matthew Hutson

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

All Works

20 of 20 papers shown
1.
Hutson, Matthew. (2025). AI models that lie, cheat and plot murder: how dangerous are LLMs really?. Nature. 646(8084). 272–275.
2.
Hutson, Matthew. (2024). Two-faced AI language models learn to hide deception. Nature.
3.
Hutson, Matthew. (2024). Software tools identify forgotten genes. Nature. 1 indexed citations
4.
Hutson, Matthew. (2024). How AI is being used to accelerate clinical trials. Nature. 627(8003). S2–S5. 60 indexed citations
5.
Hutson, Matthew. (2024). Forget ChatGPT: why researchers now run small AIs on their laptops. Nature. 633(8030). 728–729. 1 indexed citations
6.
Hutson, Matthew. (2023). DeepMind AI creates algorithms that sort data faster than those built by people. Nature. 618(7965). 443–444. 2 indexed citations
7.
Hutson, Matthew. (2023). AI for drug discovery is booming, but who owns the patents?. Nature Biotechnology. 41(11). 1494–1496. 5 indexed citations
8.
Hutson, Matthew. (2022). Could AI help you to write your next paper?. Nature. 611(7934). 192–193. 147 indexed citations breakdown →
9.
Hutson, Matthew. (2020). Artificial-intelligence tools aim to tame the coronavirus literature. Nature. 13 indexed citations
11.
Hutson, Matthew. (2018). This ‘mind-reading’ algorithm can decode the pictures in your head. Science. 1 indexed citations
12.
Hutson, Matthew. (2018). AI researchers allege that machine learning is alchemy. Science. 31 indexed citations
13.
Hutson, Matthew. (2018). Has artificial intelligence become alchemy?. Science. 360(6388). 478–478. 55 indexed citations
14.
Hutson, Matthew. (2017). Self-taught artificial intelligence beats doctors at predicting heart attacks. Science. 14 indexed citations
15.
Hutson, Matthew. (2017). Artificial intelligence prevails at predicting Supreme Court decisions. Science. 7 indexed citations
17.
Hutson, Matthew. (2017). Even artificial intelligence can acquire biases against race and gender. Science. 16 indexed citations
18.
Hutson, Matthew. (2017). A Conspiracy of Loneliness. Scientific American Mind. 28(3). 15–15. 2 indexed citations
19.
Ruzicka, A., Matthew Hutson, C. Floss, & A. R. Hildebrand. (2012). Large Silica-Rich Igneous-Textured Inclusions in the Buzzard Coulee (H4) Chondrite. LPI. 1630. 1 indexed citations
20.
Ruzicka, A., C. Floss, & Matthew Hutson. (2010). Accretion and Melting of Dust to Form Ferroan Chondrules in Ordinary Chondrites. Lunar and Planetary Science Conference. 1956. 1 indexed citations

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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