Shane Legg

33.9k total citations · 1 hit paper
22 papers, 18.0k citations indexed

About

Shane Legg is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Cognitive Neuroscience. According to data from OpenAlex, Shane Legg has authored 22 papers receiving a total of 18.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 3 papers in Cognitive Neuroscience. Recurrent topics in Shane Legg's work include Evolutionary Algorithms and Applications (7 papers), Computability, Logic, AI Algorithms (6 papers) and Reinforcement Learning in Robotics (5 papers). Shane Legg is often cited by papers focused on Evolutionary Algorithms and Applications (7 papers), Computability, Logic, AI Algorithms (6 papers) and Reinforcement Learning in Robotics (5 papers). Shane Legg collaborates with scholars based in Switzerland, United Kingdom and Australia. Shane Legg's co-authors include Demis Hassabis, Joel Veness, Charles Beattie, David Silver, Dharshan Kumaran, Daan Wierstra, Georg Ostrovski, Marc G. Bellemare, Andreas Fidjeland and Volodymyr Mnih and has published in prestigious journals such as Nature, Journal of Economic Dynamics and Control and AI Magazine.

In The Last Decade

Shane Legg

21 papers receiving 17.3k citations

Hit Papers

Human-level control through deep reinforcement learning 2015 2026 2018 2022 2015 5.0k 10.0k 15.0k

Peers

Shane Legg
Comparison fields: 5 of 204
  • Artificial Intelligence 7.8k
  • Electrical and Electronic Engineering 3.8k
  • Computer Networks and Communications 3.4k
  • Control and Systems Engineering 3.3k
  • Computer Vision and Pattern Recognition 2.8k
Replace Andreas Fidjeland with:
Andreas Fidjeland United Kingdom
Volodymyr Mnih United States
Georg Ostrovski United Kingdom
Stig Petersen United Kingdom
Marc G. Bellemare United States
Joel Veness Canada
Martin Riedmiller Germany
Andrei A. Rusu United Kingdom
Timothy Lillicrap United States
Andy Barto
Andreas Fidjeland United Kingdom View profile →
Citations per field, relative to Shane Legg
Shane Legg · 1×
Citations per year, relative to Shane Legg
Shane Legg · 1×

Countries citing papers authored by Shane Legg

Since Specialization
Citations

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

Fields of papers citing papers by Shane Legg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shane Legg

This figure shows the co-authorship network connecting the top 25 collaborators of Shane Legg. A scholar is included among the top collaborators of Shane Legg 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 Shane Legg. Shane Legg 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
# Work Indexed citations
1 10
2
Avoiding Side Effects By Considering Future Tasks
2
3 1
4
Noisy Networks For Exploration
115
5
Human-level control through deep reinforcement learning breakdown →
17153
6 7
7 13
8 10
9
Machine super intelligence
23
10 195
11 9
12 301
13 33
14 7
15 10
16 3
17 2
18 2
19
An MDL estimate of the significance of rules
1
20
Effects of exposure to simulated altitudes on visual fields, contrast sensitivity, and dazzle recovery.
6

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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