Joshua B. Tenenbaum
Joshua B. Tenenbaum publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience, on topics such as Child and Animal Learning Development, Bayesian Modeling and Causal Inference and Multimodal Machine Learning Applications.
- World rank
- #10,942 of 7,710,434 ranked researchers
- Rank in United States
- #3,779 of 1,627,098
- Works
- 904
- Citations
- 75k
- Citations per work
- 82.9
What does Joshua B. Tenenbaum research?
Joshua B. Tenenbaum's work is mostly in Computer Science (50%), Psychology (10%), Neuroscience (9%).
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
- Physical Sciences44849.6%
- Computer Science44849.6%
- Everything else26028.8%
- Social Sciences11612.8%
- Psychology9110.1%
- Social Sciences242.7%
- Life Sciences808.8%
- Neuroscience808.8%
- 1Artificial Intelligence33% of their works
- 2Computer Vision and Pattern Recognition16% of their works
- 3Cognitive Neuroscience9% of their works
- 4Developmental and Educational Psychology8% of their works
- 5Cultural Studies3% of their works
- 6Social Psychology2% of their works
Research topics
Which keywords describe Joshua B. Tenenbaum's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Child Development, Theory of Mind, Bayesian Networks, Causal Inference, Image Captioning and Visual Question Answering.
- Statistical Machine Translation
- Pose Estimation
- Language
- Word Representation
- Reinforcement Learning
- Visual Question Answering
- Causal Inference
- Theory of Mind
- Deep Learning
- Neural Networks
- Child Development
- Bayesian Networks
- Image Captioning
- Machine Translation
- Robotics
- Cultural Evolution
- Action Recognition
- 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 18 words, with their numbers
- Neural Networks2203 topics
- Deep Learning2103 topics
- Child Development1501 topic
- Theory of Mind1501 topic
- Bayesian Networks981 topic
- Causal Inference981 topic
- Image Captioning781 topic
- Visual Question Answering781 topic
- Machine Translation711 topic
- Reinforcement Learning711 topic
- Robotics711 topic
- Word Representation711 topic
- Cultural Evolution651 topic
- Language651 topic
- Action Recognition611 topic
- Pose Estimation611 topic
- Neural Machine Translation531 topic
- Statistical Machine Translation531 topic
Where does Joshua B. Tenenbaum work?
Joshua B. Tenenbaum's main affiliation in the publication record is Massachusetts Institute of Technology, United States.
How many publications and citations does Joshua B. Tenenbaum have?
OpenAlex counts 904 works and 74,974 citations for Joshua B. Tenenbaum, an h-index of 114, ranking #10,942 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
Ask a question or share a note about Joshua B. Tenenbaum. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.