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Researcher · Google DeepMind (United Kingdom) · United Kingdom

Demis Hassabis

Demis Hassabis publishes mostly in Artificial Intelligence, Cognitive Neuroscience and Molecular Biology, on topics such as Memory and Neural Mechanisms, Reinforcement Learning in Robotics and Neural dynamics and brain function.

ORCID 0000-0003-2812-9917 OpenAlex
World rank
#4,142
of 7,710,434 ranked researchers
Rank in United Kingdom
#255
of 367,258
Works
176
Citations
199k
Citations per work
1129.6
h-index
92
i10-index 129Top 0.1% in Artificial Intelligence
Demis Hassabis

What does Demis Hassabis research?

Demis Hassabis's work is mostly in Computer Science (31%), Neuroscience (24%), Biochemistry, Genetics and Molecular Biology (10%).

Physical Sciences: 62 works · 35.3% of their workComputer Science: 54 works · 30.9% of their workArtificial Intelligence: 47 works · 26.7% of their workComputer Vision and Pattern Recognition: 7 works · 4.2% of their workMaterials Science: 8 works · 4.4% of their workMaterials Chemistry: 8 works · 4.4% of their workLife Sciences: 58 works · 33.2% of their workNeuroscience: 42 works · 23.7% of their workCognitive Neuroscience: 36 works · 20.3% of their workCellular and Molecular Neuroscience: 6 works · 3.4% of their workBiochemistry, Genetics and Molecular Biology: 17 works · 9.5% of their workMolecular Biology: 17 works · 9.5% of their workEverything else: 55 works · 31.5% of their workTHEIR WORKDemis Hassabis176works
Life Sciences33%Physical Sciences35%

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 Science5430.9%
    2. Materials Science84.4%
    1. Neuroscience4223.7%
    2. Biochemistry, Genetics and Molecular Biology179.5%
  3. Everything else5531.5%
  1. 1Artificial Intelligence27% of their works
  2. 2Cognitive Neuroscience20% of their works
  3. 3Molecular Biology10% of their works
  4. 4Materials Chemistry4% of their works
  5. 5Computer Vision and Pattern Recognition4% of their works
  6. 6Cellular and Molecular Neuroscience3% of their works

Research topics

Which keywords describe Demis Hassabis's research?

The keywords of their largest research topics: Hippocampus, Memory, Deep Learning, Reinforcement Learning, Cortical Networks, Neuronal Oscillations, Monte Carlo Tree Search and Procedural Content Generation.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 16 words, with their numbers
  1. Hippocampus371 topic
  2. Memory371 topic
  3. Deep Learning251 topic
  4. Reinforcement Learning251 topic
  5. Cortical Networks221 topic
  6. Neuronal Oscillations221 topic
  7. Monte Carlo Tree Search211 topic
  8. Procedural Content Generation211 topic
  9. Protein151 topic
  10. Structure151 topic
  11. Neurotransmission141 topic
  12. Synaptic Plasticity141 topic
  13. Competitive Balance131 topic
  14. Prediction Markets131 topic
  15. Episodic Memory111 topic
  16. Memory Retrieval111 topic

Where does Demis Hassabis work?

Demis Hassabis's main affiliation in the publication record is Google DeepMind (United Kingdom), United Kingdom.

How many publications and citations does Demis Hassabis have?

OpenAlex counts 176 works and 198,803 citations for Demis Hassabis, an h-index of 92, ranking #4,142 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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