Tom Stepleton

750 total citations
4 papers, 33 citations indexed

About

Tom Stepleton is a scholar working on Safety Research, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Tom Stepleton has authored 4 papers receiving a total of 33 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Safety Research, 2 papers in Artificial Intelligence and 1 paper in Computational Theory and Mathematics. Recurrent topics in Tom Stepleton's work include Ethics and Social Impacts of AI (3 papers), Complexity and Algorithms in Graphs (1 paper) and Privacy-Preserving Technologies in Data (1 paper). Tom Stepleton is often cited by papers focused on Ethics and Social Impacts of AI (3 papers), Complexity and Algorithms in Graphs (1 paper) and Privacy-Preserving Technologies in Data (1 paper). Tom Stepleton collaborates with scholars based in United States, United Kingdom and Belgium. Tom Stepleton's co-authors include Heinrich Jiang, Aldo Pacchiano, Silvia Chiappa, John Aslanides, Rémi Munos, Anna Harutyunyan, Marc G. Bellemare, Ramona Comanescu, Verena Rieser and Arianna Manzini and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Uncertainty in Artificial Intelligence.

In The Last Decade

Tom Stepleton

4 papers receiving 33 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tom Stepleton United States	4	22	10	4	3	2	4	33
Sandhini Agarwal	3	42 1.9×	7 0.7×	6 1.5×	2 0.7×	1 0.5×	3	62
R. F. Xu China	2	13 0.6×	6 0.6×	7 1.8×	2 0.7×		2	37
Damien Sileo France	4	33 1.5×	3 0.3×	3 0.8×	5 1.7×		9	47
Shengyuan Hu United States	4	12 0.5×	3 0.3×	3 0.8×	5 1.7×		6	27
Narine Kokhlikyan United States	5	25 1.1×	12 1.2×	1 0.3×	7 2.3×	1 0.5×	7	39
Sanmi Koyejo United States	4	28 1.3×	14 1.4×	1 0.3×	6 2.0×	1 0.5×	14	48
Tom Everitt United Kingdom	4	12 0.5×	11 1.1×	1 0.3×	1 0.3×	3 1.5×	10	33
Ying Wen China	4	20 0.9×	2 0.2×	2 0.5×	2 0.7×	3 1.5×	10	26
Nabiha Asghar Canada	4	35 1.6×	2 0.2×	5 1.3×	4 1.3×		5	41
Zachary Kenton Germany	3	9 0.4×	6 0.6×	1 0.3×	5 1.7×	1 0.5×	5	17

Countries citing papers authored by Tom Stepleton

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tom Stepleton

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

All Works

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4 of 4 papers shown

1.

Marchal, Nahema, Arianna Manzini, Lisa Anne Hendricks, et al.. (2024). Gaps in the Safety Evaluation of Generative AI. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 1200–1217. 3 indexed citations

2.

Chiappa, Silvia, et al.. (2020). A General Approach to Fairness with Optimal Transport. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 3633–3640. 19 indexed citations

3.

Pacchiano, Aldo, et al.. (2019). Wasserstein Fair Classification. Uncertainty in Artificial Intelligence. 862–872. 5 indexed citations

4.

Harutyunyan, Anna, Marc G. Bellemare, Tom Stepleton, & Rémi Munos. (2016). Q($λ$) with Off-Policy Corrections. arXiv (Cornell University). 305–320. 6 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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