Iason Gabriel
Iason Gabriel publishes mostly in Safety Research, Artificial Intelligence and Cognitive Neuroscience, on topics such as Ethics and Social Impacts of AI, Artificial Intelligence in Healthcare and Education and Neuroethics, Human Enhancement, Biomedical Innovations.
- World rank
- #174,273 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #15,760 of 367,258
- Works
- 78
- Citations
- 2.8k
- Citations per work
- 35.9
What does Iason Gabriel research?
Iason Gabriel's work is mostly in Social Sciences (34%), Computer Science (25%), Neuroscience (10%).
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
- Social Sciences2937.6%
- Social Sciences2734.0%
- Psychology33.6%
- Physical Sciences2025.3%
- Computer Science2025.3%
- Everything else1721.6%
- Life Sciences89.8%
- Neuroscience89.8%
- Health Sciences45.7%
- Medicine45.7%
- 1Safety Research27% of their works
- 2Artificial Intelligence25% of their works
- 3Cognitive Neuroscience10% of their works
- 4Sociology and Political Science7% of their works
- 5Health Informatics6% of their works
- 6Social Psychology4% of their works
Research topics
- Ethics and Social Impacts of AI
- Artificial Intelligence in Healthcare and Education
- Neuroethics, Human Enhancement, Biomedical Innovations
- Psychology of Moral and Emotional Judgment
- Topic Modeling
- Explainable Artificial Intelligence (XAI)
- Hate Speech and Cyberbullying Detection
- Natural Language Processing Techniques
Which keywords describe Iason Gabriel's research?
The keywords of their largest research topics: Machine Learning, Artificial Intelligence, Big Data, Ethics, Algorithmic Bias, Fairness, Healthcare and Medical Imaging.
- Statistical Machine Translation
- Word Representation
- Machine Learning Interpretability
- Hate Speech
- Moral Judgment
- Neuroenhancement
- Medical Imaging
- Fairness
- Ethics
- Artificial Intelligence
- Machine Learning
- Big Data
- Algorithmic Bias
- Healthcare
- Cognitive Enhancement
- Disgust
- Detection
- Interpretable Models
- Neural Networks
- Neural Machine Translation
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 20 words, with their numbers
- Machine Learning693 topics
- Artificial Intelligence622 topics
- Big Data622 topics
- Ethics592 topics
- Algorithmic Bias511 topic
- Fairness511 topic
- Healthcare111 topic
- Medical Imaging111 topic
- Cognitive Enhancement91 topic
- Neuroenhancement91 topic
- Disgust81 topic
- Moral Judgment81 topic
- Detection71 topic
- Hate Speech71 topic
- Interpretable Models71 topic
- Machine Learning Interpretability71 topic
- Neural Networks71 topic
- Word Representation71 topic
- Neural Machine Translation61 topic
- Statistical Machine Translation61 topic
Where does Iason Gabriel work?
Iason Gabriel's main affiliation in the publication record is Google DeepMind (United Kingdom), United Kingdom.
How many publications and citations does Iason Gabriel have?
OpenAlex counts 78 works and 2,801 citations for Iason Gabriel, an h-index of 23, ranking #174,273 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.
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