Edward Hughes

2.4k total citations
73 papers, 521 citations indexed

About

Edward Hughes is a scholar working on Literature and Literary Theory, Artificial Intelligence and History. According to data from OpenAlex, Edward Hughes has authored 73 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Literature and Literary Theory, 11 papers in Artificial Intelligence and 9 papers in History. Recurrent topics in Edward Hughes's work include French Literature and Critical Theory (12 papers), French Literature and Criticism (10 papers) and Reinforcement Learning in Robotics (7 papers). Edward Hughes is often cited by papers focused on French Literature and Critical Theory (12 papers), French Literature and Criticism (10 papers) and Reinforcement Learning in Robotics (7 papers). Edward Hughes collaborates with scholars based in United Kingdom, United States and Canada. Edward Hughes's co-authors include David R. Thomas, Bruno D. Zumbo, Iain Dunning, John Goldak, Marc Lanctot, Jakob Foerster, Michael Bowling, Neil Burch, Joel Z. Leibo and Thore Graepel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Edward Hughes

57 papers receiving 429 citations

Peers

Edward Hughes
Fred Truck United States
Ian Schagen United Kingdom
Alex de Voogt United States
Robin H. Lock United States
Katrin Schulz Netherlands
Catherine C. Chase United States
Robert E. Horn United States
Fred Truck United States
Edward Hughes
Citations per year, relative to Edward Hughes Edward Hughes (= 1×) peers Fred Truck

Countries citing papers authored by Edward Hughes

Since Specialization
Citations

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

Fields of papers citing papers by Edward Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Hughes

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Hughes. A scholar is included among the top collaborators of Edward Hughes 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 Edward Hughes. Edward Hughes 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.
Barfuß, Wolfram, Jessica C. Flack, Chaitanya S. Gokhale, et al.. (2025). Collective cooperative intelligence. Proceedings of the National Academy of Sciences. 122(25). e2319948121–e2319948121. 1 indexed citations
2.
Collister, Adrian, Ashley Edwards, Richard Everett, et al.. (2023). Learning few-shot imitation as cultural transmission. Nature Communications. 14(1). 7536–7536. 3 indexed citations
4.
Bachrach, Yoram, Richard Everett, Edward Hughes, et al.. (2020). Negotiating team formation using deep reinforcement learning. Artificial Intelligence. 288. 103356–103356. 16 indexed citations
5.
Leibo, Joel Z., Julien Pérolat, Edward Hughes, et al.. (2019). Malthusian Reinforcement Learning. arXiv (Cornell University). 1099–1107. 5 indexed citations
6.
Foerster, Jakob, Hui Song, Edward Hughes, et al.. (2019). Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. International Conference on Machine Learning. 1942–1951. 12 indexed citations
7.
Bard, Nolan, Jakob Foerster, Sarath Chandar, et al.. (2019). The Hanabi challenge: A new frontier for AI research. Artificial Intelligence. 280. 103216–103216. 100 indexed citations
8.
Bahdanau, Dzmitry, Felix Hill, Jan Leike, et al.. (2018). Learning to Follow Language Instructions with Adversarial Reward Induction. arXiv (Cornell University). 4 indexed citations
9.
Bahdanau, Dzmitry, Felix Hill, Jan Leike, et al.. (2018). Jointly Learning "What" and "How" from Instructions and Goal-States.. International Conference on Learning Representations. 2 indexed citations
11.
Hughes, Edward, et al.. (2003). Writing Marginality in Modern French Literature. The Modern Language Review. 98(3). 724–724.
12.
Hughes, Edward, et al.. (1992). Hybrides romanesques: Fiction (1960-1985). The Modern Language Review. 87(3). 682–682. 1 indexed citations
13.
Hughes, Edward, et al.. (1991). 'Moy qui me voy': The Writer and the Self from Montaigne to Leiris. The Modern Language Review. 86(3). 664–664. 1 indexed citations
14.
Hughes, Edward. (1983). Marcel Proust: A Study in the Quality of Awareness. Medical Entomology and Zoology. 4 indexed citations
15.
Hughes, Edward. (1978). Preparing for the Next War: American Plans for Postwar Defense, 1941–45. International Affairs. 54(2). 320–321. 5 indexed citations
16.
Hughes, Edward, et al.. (1962). The diaries and correspondence of James Losh. 3 indexed citations
17.
Hughes, Edward & Ruthann Robson. (1960). The Attorney in Eighteenth-Century England.. The Economic History Review. 12(3). 470–470. 12 indexed citations
18.
Hughes, Edward. (1958). Sir James Stephen and the Anonymity of the Civil Servant. Public Administration. 36(1). 29–36. 6 indexed citations
19.
Hughes, Edward, et al.. (1956). Letters of Spencer Cowper, dean of Durham, 1746-74. 2 indexed citations
20.
Hughes, Edward. (1955). Postscript to the Civil Service Reforms of 1855. Public Administration. 33(3). 299–306. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026