Stuart Russell

26.5k citations
179 papers · 12.8k indexed · 5 hit papers · h-index 47

Stuart Russell

172 papers receiving 11.5k citations

Hit Papers

Human Compatible: ...382199520262005201550010001.5k

Peers

Stuart Russell
Comparison fields: 5 of 201
  • Artificial Intelligence 7.8k
  • Computer Vision and Pattern Recognition 3.2k
  • Signal Processing 1.2k
  • Management Science and Operations Research 1.1k
  • General Decision Sciences 110
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Andrew Moore United States
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Citations per field
00.5×2.6×
Andrew Moore · 1×
Citations per year

Countries citing papers authored by Stuart Russell

Since Specialization
Citations

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

Fields of papers citing papers by Stuart Russell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Stuart Russell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stuart Russell Line = papers co-authored together Stuart Russell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 2017124
3
Neural Block Sampling.
20171
4
A smart-dumb/dumb-smart algorithm for efficient split-merge MCMC
20152
5
First-order open-universe POMDPs
20148
6
Partially Observable Sequential Decision Making for Problem Selection in an Intelligent Tutoring System.
201111
7
Global seismic monitoring as probabilistic inference
20107
8
On some tractable cases of logical filtering
20063
9
A compact, hierarchically optimal Q-function decomposition
20063
10
Efficient belief-state AND-OR search, with application to Kriegspiel
200516
11
Logical filtering
200324
12
Distance Metric Learning with Application to Clustering with Side-Informationbreakdown →
20021730
13 199719
14
Object identification in a Bayesian context
1997125
15
Feasibility Study of Fully Automated Vehicles Using Decision-theoretic Control
19972
16
Reinforcement Learning with Hierarchies of Machines
1997343
17
Approximating optimal policies for partially observable stochastic domains
199598
18
Control strategies for a stochastic planner
199431
19
How long will it take
199217
20
A Logical Approach to Reasoning by Analogy
198746

About Stuart Russell

Stuart Russell is a scholar working on Artificial Intelligence, Computational Mathematics and Management Science and Operations Research, having authored 179 papers that have together received 12.8k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (43 papers), Logic, Reasoning, and Knowledge (31 papers), AI-based Problem Solving and Planning (30 papers), Reinforcement Learning in Robotics (24 papers), Machine Learning and Algorithms (23 papers), Bayesian Methods and Mixture Models (12 papers), Target Tracking and Data Fusion in Sensor Networks (12 papers) and Semantic Web and Ontologies (12 papers). The work is most often cited by research in Artificial Intelligence (7.8k citations), Computer Vision and Pattern Recognition (3.2k citations) and Signal Processing (1.2k citations). Stuart Russell has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Kevin P. Murphy, Andrew Y. Ng, Peter Norvig, Michael I. Jordan, Eric P. Xing, Ronald Parr, Nikunj C. Oza, Shlomo Zilberstein, Bhaskara Marthi and Songhwai Oh. Their work appears in journals such as Artificial Intelligence, Ethics and Information Technology, Machine Learning, Critical Criminology and Nature.

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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