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Researcher · SoftBank Robotics (France) · France

Alban Laflaquière

Alban Laflaquière publishes mostly in Artificial Intelligence, Cognitive Neuroscience and Control and Systems Engineering, on topics such as Robot Manipulation and Learning, Reinforcement Learning in Robotics and Action Observation and Synchronization.

ORCID 0000-0002-3842-0858 OpenAlex
World rank
#5,466,655
of 7,710,434 ranked researchers
Rank in France
#231,580
of 324,115
Works
39
Citations
184
Citations per work
4.7
h-index
8
i10-index 6Top 56% in Artificial Intelligence
Alban Laflaquière

What does Alban Laflaquière research?

Alban Laflaquière's work is mostly in Computer Science (37%), Neuroscience (18%), Engineering (16%).

Physical Sciences: 21 works · 53.2% of their workComputer Science: 14 works · 36.7% of their workArtificial Intelligence: 8 works · 19.3% of their workComputer Vision and Pattern Recognition: 5 works · 12.8% of their workComputational Theory and Mathematics: 2 works · 4.6% of their workEngineering: 6 works · 16.5% of their workControl and Systems Engineering: 6 works · 16.5% of their workEverything else: 9 works · 22.1% of their workLife Sciences: 7 works · 18.3% of their workNeuroscience: 7 works · 18.3% of their workCognitive Neuroscience: 7 works · 18.3% of their workSocial Sciences: 2 works · 6.4% of their workPsychology: 2 works · 6.4% of their workSocial Psychology: 2 works · 6.4% of their workTHEIR WORKAlban Laflaquière39works
Life Sciences18%Physical Sciences53%Social Sciences6%

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 Science1436.7%
    2. Engineering616.5%
  2. Everything else922.1%
    1. Neuroscience718.3%
    1. Psychology26.4%
  1. 1Artificial Intelligence19% of their works
  2. 2Cognitive Neuroscience18% of their works
  3. 3Control and Systems Engineering16% of their works
  4. 4Computer Vision and Pattern Recognition13% of their works
  5. 5Social Psychology6% of their works
  6. 6Computational Theory and Mathematics5% of their works

Research topics

Which keywords describe Alban Laflaquière's research?

The keywords of their largest research topics: Deep Learning, Grasping, Robot Learning, Social Cognition, Embodiment, Mirror Neuron System, Neural Networks and Reinforcement 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. 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 18 words, with their numbers
  1. Deep Learning202 topics
  2. Grasping141 topic
  3. Robot Learning141 topic
  4. Social Cognition92 topics
  5. Embodiment61 topic
  6. Mirror Neuron System61 topic
  7. Neural Networks61 topic
  8. Reinforcement Learning61 topic
  9. Cortical Networks51 topic
  10. Motor Control51 topic
  11. Neuronal Oscillations51 topic
  12. Sensorimotor Learning51 topic
  13. Embodied Cognition31 topic
  14. Genetic Programming31 topic
  15. Machine Learning31 topic
  16. Neural Processing31 topic
  17. Predictive Brain Theory31 topic
  18. Visual Perception31 topic

Where does Alban Laflaquière work?

Alban Laflaquière's main affiliation in the publication record is SoftBank Robotics (France), France.

How many publications and citations does Alban Laflaquière have?

OpenAlex counts 39 works and 184 citations for Alban Laflaquière, an h-index of 8, ranking #5,466,655 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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