Jesse Vig
Jesse Vig publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Topic Modeling, Natural Language Processing Techniques and Advanced Text Analysis Techniques.
- World rank
- #491,518 of 7,710,434 ranked researchers
- Rank in United States
- #171,585 of 1,627,098
- Works
- 40
- Citations
- 1.6k
- Citations per work
- 40.5
What does Jesse Vig research?
Jesse Vig's work is mostly in Computer Science (85%), Biochemistry, Genetics and Molecular Biology (9%), Social Sciences (2%).
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 Sciences3586.5%
- Computer Science3484.8%
- Materials Science11.7%
- Life Sciences38.5%
- Everything else12.5%
- Social Sciences12.5%
- Social Sciences12.5%
- 1Artificial Intelligence62% of their works
- 2Information Systems12% of their works
- 3Computer Vision and Pattern Recognition11% of their works
- 4Molecular Biology8% of their works
- 5Communication2% of their works
- 6Materials Chemistry2% of their works
Research topics
Which keywords describe Jesse Vig's research?
The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Automatic, Extraction and Collaborative Filtering.
- Protein
- Readability Assessment
- Interpretable Models
- Content-Based Retrieval
- Collaborative Filtering
- Automatic
- Neural Machine Translation
- Machine Translation
- Neural Networks
- Word Representation
- Statistical Machine Translation
- Extraction
- Matrix Factorization
- Video Summarization
- Machine Learning Interpretability
- Text Simplification
- Structure
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 17 words, with their numbers
- Neural Networks464 topics
- Machine Translation241 topic
- Word Representation241 topic
- Neural Machine Translation211 topic
- Statistical Machine Translation211 topic
- Automatic101 topic
- Extraction101 topic
- Collaborative Filtering81 topic
- Matrix Factorization81 topic
- Content-Based Retrieval71 topic
- Video Summarization71 topic
- Interpretable Models61 topic
- Machine Learning Interpretability61 topic
- Readability Assessment41 topic
- Text Simplification41 topic
- Protein31 topic
- Structure31 topic
Where does Jesse Vig work?
Jesse Vig's main affiliation in the publication record is Salesforce (United States), United States.
How many publications and citations does Jesse Vig have?
OpenAlex counts 40 works and 1,620 citations for Jesse Vig, an h-index of 17, ranking #491,518 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.
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