S. J. Thais

12.6k total citations
6 papers, 31 citations indexed

About

S. J. Thais is a scholar working on Artificial Intelligence, Safety Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. J. Thais has authored 6 papers receiving a total of 31 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Safety Research and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in S. J. Thais's work include Ethics and Social Impacts of AI (4 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Adversarial Robustness in Machine Learning (2 papers). S. J. Thais is often cited by papers focused on Ethics and Social Impacts of AI (4 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Adversarial Robustness in Machine Learning (2 papers). S. J. Thais collaborates with scholars based in United States, Austria and Australia. S. J. Thais's co-authors include Scott Hauck, G. Dezoort, J. Duarte, Jason W.H. Wong, P. Elmer, Shi‐Yu Huang, Markus Julian Atkinson, M. S. Neubauer, I. Ojalvo and Bo‐Cheng Lai and has published in prestigious journals such as Nature Reviews Physics, Frontiers in Big Data and Journal of Physics Conference Series.

In The Last Decade

S. J. Thais

6 papers receiving 30 citations

Peers

S. J. Thais
I. Ojalvo United States
Saverio Citraro Italy
T. Lazovich United States
M. Rieger Germany
Kamil Rafał Deja Poland
S. Gkaitatzis Greece
S. Yang South Korea
S. Jakobsen United Kingdom
G. Strong Italy
N. M. Hartmann Germany
I. Ojalvo United States
S. J. Thais
Citations per year, relative to S. J. Thais S. J. Thais (= 1×) peers I. Ojalvo

Countries citing papers authored by S. J. Thais

Since Specialization
Citations

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

Fields of papers citing papers by S. J. Thais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. J. Thais. 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 S. J. Thais. The network helps show where S. J. Thais may publish in the future.

Co-authorship network of co-authors of S. J. Thais

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

All Works

6 of 6 papers shown
1.
Acquaviva, Viviana, Elizabeth A. Barnes, David John Gagne, Galen A. McKinley, & S. J. Thais. (2024). Ethics in climate AI: From theory to practice. PLOS Climate. 3(8). e0000465–e0000465. 2 indexed citations
2.
Thais, S. J.. (2024). Physics and the empirical gap of trustworthy AI. Nature Reviews Physics. 6(11). 640–641. 2 indexed citations
3.
Thais, S. J., et al.. (2023). Semi-Equivariant GNN Architectures for Jet Tagging. Journal of Physics Conference Series. 2438(1). 12121–12121. 3 indexed citations
4.
Huang, Shi‐Yu, J. Duarte, Markus Julian Atkinson, et al.. (2022). Graph Neural Networks for Charged Particle Tracking on FPGAs. Frontiers in Big Data. 5. 828666–828666. 22 indexed citations
5.
Baeza‐Yates, Ricardo, Richard Benjamins, Mark Coeckelbergh, et al.. (2021). Correction to: Towards intellectual freedom in an AI Ethics Global Community. AI and Ethics. 1(2). 139–140. 1 indexed citations
6.
Thais, S. J.. (2020). Physicists Must Engage with AI Ethics, Now. Physics. 13. 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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2026