Andy Barto

27.4k citations
8 papers · 21.7k · 1 hit paper · h-index 5

Impact in

Papers in

    • Intelligent Tutoring Systems and Adaptive Learning 1
    • AI-based Problem Solving and Planning 1
    • Bayesian Modeling and Causal Inference 1
    • Reinforcement Learning in Robotics 1
    • Transportation and Mobility Innovations 1

Andy Barto

7 papers receiving 21.2k citations

Andy Barto's Hit Papers

Reinforcement Learning: An Introduction 1998 · 21.5k citations
21.5k0+9+18Years since publication5.0k10.0k15.0k20.0k

Peers

Andy Barto
Comparison fields: 5 of 200
  • Artificial Intelligence 9.0k
  • General Decision Sciences 395
  • Control and Systems Engineering 3.9k
  • Computer Networks and Communications 3.9k
  • Management Science and Operations Research 1.9k
Replace Andrew G. Barto with:
Andrew G. Barto United States
Dharshan Kumaran United Kingdom
Michael L. Littman United States
Leslie Pack Kaelbling United States
Timothy Lillicrap United Kingdom
Richard S. Sutton Canada
Shane Legg Switzerland
Satinder Singh United States
Stuart Russell United States
Arthur Guez United Kingdom
Andy Barto relative to Andrew G. Barto United States Andrew G. Barto's profile →
Citations per field
00.5×4.7×
Andrew G. Barto · 1×
Citations per year

Countries citing papers authored by Andy Barto

Since Specialization
Citations

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

Fields of papers citing papers by Andy Barto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Andy Barto, 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 Andy Barto Line = papers co-authored together Andy Barto links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Reinforcement Learning: An Introduction
Hit paper breakdown →
199821518
2
Learning by statistical cooperation of self-interested neuron-like computing elements.
1985142
3 201249
4 200624
5
Supervised Learning Combined with an Actor-Critic Architecture TITLE2:
200213
6 20121
7
Reinforcement and Local Searc: A Case Study TITLE2:
19971
8 20120

About Andy Barto

Andy Barto is a scholar working on Artificial Intelligence, Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering, having authored 8 papers that have together received 21.7k indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (1 paper), AI-based Problem Solving and Planning (1 paper), Transportation and Mobility Innovations (1 paper), Bayesian Modeling and Causal Inference (1 paper), Vehicle Routing Optimization Methods (1 paper), Smart Grid Security and Resilience (1 paper), Smart Grid Energy Management (1 paper) and Reinforcement Learning in Robotics (1 paper). The work is most often cited by research in Artificial Intelligence (9.0k citations), General Decision Sciences (395 citations), Control and Systems Engineering (3.9k citations), Computer Networks and Communications (3.9k citations) and Management Science and Operations Research (1.9k citations). Andy Barto has collaborated with scholars based in United States. Frequent co-authors include Richard S. Sutton, Michael T. Rosenstein, Donald C. Wunsch, Jennie Si, Warren B. Powell, Andrew G. Barto, Ivon Arroyo, Beverly Park Woolf, Sridhar Mahadevan and James A. Momoh. Their work appears in journals such as Lecture notes in computer science, PubMed and IEEE Transactions on Neural Networks.

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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