John Aslanides

2.1k total citations
5 papers, 182 citations indexed

About

John Aslanides is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, John Aslanides has authored 5 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 2 papers in Economics and Econometrics. Recurrent topics in John Aslanides's work include Reinforcement Learning in Robotics (3 papers), Adversarial Robustness in Machine Learning (1 paper) and Ethics and Social Impacts of AI (1 paper). John Aslanides is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Adversarial Robustness in Machine Learning (1 paper) and Ethics and Social Impacts of AI (1 paper). John Aslanides collaborates with scholars based in United Kingdom, United States and Australia. John Aslanides's co-authors include Saffron Huang, Ethan Perez, Amelia Glaese, Francis Song, Geoffrey Irving, Trevor Cai, Roman Ring, Ian Osband, Albin Cassirer and Matteo Hessel and has published in prestigious journals such as Neural Information Processing Systems, Proceedings of the AAAI Conference on Artificial Intelligence and Adaptive Agents and Multi-Agents Systems.

In The Last Decade

John Aslanides

4 papers receiving 168 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Aslanides United Kingdom	4	142	27	22	18	17	5	182
Amelia Glaese United States	4	100 0.7×	22 0.8×	15 0.7×	18 1.0×	17 1.0×	6	145
Ilia Stepin Spain	4	183 1.3×	26 1.0×	15 0.7×	8 0.4×	33 1.9×	6	216
Shayne Longpre United States	9	125 0.9×	19 0.7×	28 1.3×	30 1.7×	8 0.5×	15	177
Elliot Creager Canada	6	131 0.9×	40 1.5×	45 2.0×	13 0.7×	14 0.8×	11	166
Vasileios Iosifidis Germany	5	134 0.9×	62 2.3×	11 0.5×	16 0.9×	9 0.5×	7	176
Artem Shelmanov Russia	9	189 1.3×	5 0.2×	33 1.5×	20 1.1×	18 1.1×	32	254
Kacper Sokol United Kingdom	9	227 1.6×	62 2.3×	25 1.1×	17 0.9×	49 2.9×	23	286
Prashan Madumal Australia	4	155 1.1×	22 0.8×	16 0.7×	7 0.4×	14 0.8×	7	186
Josh Gardner United States	6	81 0.6×	24 0.9×	9 0.4×	15 0.8×	6 0.4×	13	148
Shauli Ravfogel Israel	8	255 1.8×	8 0.3×	80 3.6×	18 1.0×	12 0.7×	17	308

Countries citing papers authored by John Aslanides

Since Specialization

Citations

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

Fields of papers citing papers by John Aslanides

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Aslanides

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

All Works

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5 of 5 papers shown

1.

Perez, Ethan, Saffron Huang, Francis Song, et al.. (2022). Red Teaming Language Models with Language Models. 3419–3448. 128 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.

Hasselt, Hado P. van, Matteo Hessel, & John Aslanides. (2019). When to use parametric models in reinforcement learning. Neural Information Processing Systems. 32. 14322–14333. 8 indexed citations

4.

Osband, Ian, John Aslanides, & Albin Cassirer. (2018). Randomized prior functions for deep reinforcement learning. Neural Information Processing Systems. 31. 8626–8638. 27 indexed citations

5.

Aslanides, John, et al.. (2017). Generalised Discount Functions applied to a Monte-Carlo AI u Implementation. Adaptive Agents and Multi-Agents Systems. 1589–1591.

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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