Tom Stepleton
Impact in
-
- Ethics and Social Impacts of AI
Papers in
-
- Ethics and Social Impacts of AI 3
-
- Privacy-Preserving Technologies in Data 1
- Adversarial Robustness in Machine Learning 1
- Cryptography and Data Security 1
- Co-authors
- Aldo Pacchiano (2 shared papers)Heinrich Jiang (2 shared papers)Silvia Chiappa (2 shared papers)John Aslanides (1 shared paper)Anna Harutyunyan (1 shared paper)Marc G. Bellemare (1 shared paper)Rémi Munos (1 shared paper)Arianna Manzini (1 shared paper)
- Journals
- Uncertainty in Artificial Intelligence (1 paper)Proceedings of the AAAI/ACM Conference on AI Ethics and Society (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Tom Stepleton
4 papers receiving 33 citations
Peers
Comparison fields: 5 of 22
- Safety Research 10
- Health Informatics 1
- Artificial Intelligence 22
- General Social Sciences 2
- Software 1
Countries citing papers authored by Tom Stepleton
This map shows the geographic impact of Tom Stepleton'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 Tom Stepleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Stepleton more than expected).
Fields of papers citing papers by Tom Stepleton
This network shows the impact of papers produced by Tom Stepleton. 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 Tom Stepleton. The network helps show where Tom Stepleton may publish in the future.
Co-authors
The 17 scholars most cited alongside Tom Stepleton, 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 | 2020 | 19 | |
| 2 | 2016 | 6 | |
| 3 | Wasserstein Fair Classification | 2019 | 5 |
| 4 | 2024 | 3 |
About Tom Stepleton
Tom Stepleton is a scholar working on Safety Research, Artificial Intelligence, Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 33 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (3 papers), Privacy-Preserving Technologies in Data (1 paper), Adversarial Robustness in Machine Learning (1 paper), Cryptography and Data Security (1 paper), Complexity and Algorithms in Graphs (1 paper) and Formal Methods in Verification (1 paper). The work is most often cited by research in Safety Research (10 citations), Health Informatics (1 citation), Artificial Intelligence (22 citations), General Social Sciences (2 citations) and Software (1 citation). Tom Stepleton has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Aldo Pacchiano, Heinrich Jiang, Silvia Chiappa, John Aslanides, Anna Harutyunyan, Marc G. Bellemare, Rémi Munos, Arianna Manzini, Jackie Kay and Iason Gabriel. Their work appears in journals such as Uncertainty in Artificial Intelligence, Proceedings of the AAAI/ACM Conference on AI Ethics and Society, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.