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Researcher · Google DeepMind (United Kingdom) · United Kingdom

David Lawrence Silver

David Lawrence Silver publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering, on topics such as Reinforcement Learning in Robotics, Artificial Intelligence in Games and Evolutionary Algorithms and Applications.

ORCID 0000-0002-5197-2892 OpenAlex
World rank
#23,781
of 7,710,434 ranked researchers
Rank in United Kingdom
#1,722
of 367,258
Works
212
Citations
168k
Citations per work
794.8
h-index
75
i10-index 134Top 0.2% in Artificial Intelligence
David Lawrence Silver

What does David Lawrence Silver research?

David Lawrence Silver's work is mostly in Computer Science (54%), Engineering (4%), Economics, Econometrics and Finance (4%).

Physical Sciences: 122 works · 57.7% of their workComputer Science: 114 works · 54.0% of their workArtificial Intelligence: 102 works · 48.3% of their workComputer Vision and Pattern Recognition: 12 works · 5.7% of their workEngineering: 8 works · 3.7% of their workAerospace Engineering: 8 works · 3.7% of their workEverything else: 70 works · 33.0% of their workSocial Sciences: 20 works · 9.3% of their workEconomics, Econometrics and Finance: 7 works · 3.5% of their workEconomics and Econometrics: 7 works · 3.5% of their workDecision Sciences: 6 works · 2.9% of their workManagement Science and Operations Research: 6 works · 2.9% of their workSocial Sciences: 6 works · 2.9% of their workSociology and Political Science: 6 works · 2.9% of their workTHEIR WORKDavid LawrenceSilver212works
Physical Sciences58%Social Sciences9%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science11454.0%
    2. Engineering83.7%
  2. Everything else7033.0%
    1. Economics, Econometrics and Finance73.5%
    2. Decision Sciences62.9%
    3. Social Sciences62.9%
  1. 1Artificial Intelligence48% of their works
  2. 2Computer Vision and Pattern Recognition6% of their works
  3. 3Aerospace Engineering4% of their works
  4. 4Economics and Econometrics4% of their works
  5. 5Sociology and Political Science3% of their works
  6. 6Management Science and Operations Research3% of their works

Research topics

Which keywords describe David Lawrence Silver's research?

The keywords of their largest research topics: Multi-Agent Systems, Robotics, Deep Learning, Reinforcement Learning, Monte Carlo Tree Search, Procedural Content Generation, Genetic Programming and Machine Learning.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Multi-Agent Systems1292 topics
  2. Robotics1272 topics
  3. Deep Learning1101 topic
  4. Reinforcement Learning1101 topic
  5. Monte Carlo Tree Search441 topic
  6. Procedural Content Generation441 topic
  7. Genetic Programming291 topic
  8. Machine Learning291 topic
  9. Online Learning282 topics
  10. Optimal Motion Planning191 topic
  11. Sampling-Based Algorithms191 topic
  12. 3D Mapping171 topic
  13. Competitive Balance171 topic
  14. Prediction Markets171 topic
  15. SLAM171 topic
  16. Bandit Optimization161 topic
  17. Bayesian Optimization161 topic
  18. Concept Drift121 topic
  19. Data Streams121 topic

Where does David Lawrence Silver work?

David Lawrence Silver's main affiliation in the publication record is Google DeepMind (United Kingdom), United Kingdom.

How many publications and citations does David Lawrence Silver have?

OpenAlex counts 212 works and 168,494 citations for David Lawrence Silver, an h-index of 75, ranking #23,781 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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