Erik Cambria
Erik Cambria publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, on topics such as Sentiment Analysis and Opinion Mining, Topic Modeling and Advanced Text Analysis Techniques.
- World rank
- #1,196 of 7,710,434 ranked researchers
- Rank in Singapore
- #13 of 23,642
- Works
- 794
- Citations
- 58k
- Citations per work
- 73.6
What does Erik Cambria research?
Erik Cambria's work is mostly in Computer Science (68%), Psychology (9%), Decision Sciences (3%).
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 Sciences53967.9%
- Computer Science53967.9%
- Everything else16120.3%
- Social Sciences9411.8%
- Psychology698.7%
- Decision Sciences253.1%
- 1Artificial Intelligence60% of their works
- 2Computer Vision and Pattern Recognition6% of their works
- 3Experimental and Cognitive Psychology6% of their works
- 4Management Science and Operations Research3% of their works
- 5Social Psychology3% of their works
- 6Information Systems2% of their works
Research topics
Which keywords describe Erik Cambria's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Emotion Recognition, Sentiment Analysis, Information Retrieval, Text Classification, Opinion Mining and Social Media.
- Visual Question Answering
- Time Series Forecasting
- Multi-label Learning
- Multimodal Data
- Statistical Machine Translation
- Extraction
- Word Representation
- Social Media
- Text Classification
- Sentiment Analysis
- Deep Learning
- Neural Networks
- Emotion Recognition
- Information Retrieval
- Opinion Mining
- Machine Translation
- Automatic
- Neural Machine Translation
- Facial Expression
- Feature Selection
- Stock Market Prediction
- Image Captioning
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 22 words, with their numbers
- Neural Networks6024 topics
- Deep Learning5204 topics
- Emotion Recognition4292 topics
- Sentiment Analysis3872 topics
- Information Retrieval3562 topics
- Text Classification3562 topics
- Opinion Mining3361 topic
- Social Media3361 topic
- Machine Translation2941 topic
- Word Representation2941 topic
- Automatic2171 topic
- Extraction2171 topic
- Neural Machine Translation1131 topic
- Statistical Machine Translation1131 topic
- Facial Expression931 topic
- Multimodal Data931 topic
- Feature Selection621 topic
- Multi-label Learning621 topic
- Stock Market Prediction511 topic
- Time Series Forecasting511 topic
- Image Captioning401 topic
- Visual Question Answering401 topic
Where does Erik Cambria work?
Erik Cambria's main affiliation in the publication record is Nanyang Technological University, Singapore.
How many publications and citations does Erik Cambria have?
OpenAlex counts 794 works and 58,424 citations for Erik Cambria, an h-index of 116, ranking #1,196 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
Ask a question or share a note about Erik Cambria. Posts are plain text and can be reported.