John C. Langford
John C. Langford publishes mostly in Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition, on topics such as Machine Learning and Algorithms, Advanced Bandit Algorithms Research and Machine Learning and Data Classification.
- World rank
- #46,199 of 7,710,434 ranked researchers
- Rank in United States
- #17,811 of 1,627,098
- Works
- 249
- Citations
- 36k
- Citations per work
- 146.1
What does John C. Langford research?
John C. Langford's work is mostly in Computer Science (66%), Decision Sciences (13%).
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 Sciences16566.2%
- Computer Science16566.2%
- Everything else5321.2%
- Social Sciences3112.6%
- Decision Sciences3112.6%
- 1Artificial Intelligence55% of their works
- 2Management Science and Operations Research13% of their works
- 3Computer Vision and Pattern Recognition5% of their works
- 4Computational Theory and Mathematics3% of their works
- 5Information Systems2% of their works
- 6Computer Networks and Communications2% of their works
Research topics
Which keywords describe John C. Langford's research?
The keywords of their largest research topics: Deep Learning, Hyperparameter Optimization, Semi-Supervised Learning, Online Learning, Active Learning, Machine Learning, Bandit Optimization and Bayesian Optimization.
- Transfer Learning
- Suffix Arrays
- SMOTE
- Data Streams
- Reinforcement Learning
- Noisy Labels
- Meta-Learning
- Bayesian Optimization
- Machine Learning
- Online Learning
- Hyperparameter Optimization
- Deep Learning
- Semi-Supervised Learning
- Active Learning
- Bandit Optimization
- Classification
- Instance Selection
- Neural Networks
- Concept Drift
- Imbalanced Data
- Compression
- Domain Adaptation
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 22 words, with their numbers
- Deep Learning1442 topics
- Hyperparameter Optimization1192 topics
- Semi-Supervised Learning1142 topics
- Online Learning1072 topics
- Active Learning1011 topic
- Machine Learning1011 topic
- Bandit Optimization751 topic
- Bayesian Optimization751 topic
- Classification642 topics
- Meta-Learning572 topics
- Instance Selection441 topic
- Noisy Labels441 topic
- Neural Networks431 topic
- Reinforcement Learning431 topic
- Concept Drift321 topic
- Data Streams321 topic
- Imbalanced Data201 topic
- SMOTE201 topic
- Compression181 topic
- Suffix Arrays181 topic
- Domain Adaptation131 topic
- Transfer Learning131 topic
Where does John C. Langford work?
John C. Langford's main affiliation in the publication record is Microsoft (United States), United States.
How many publications and citations does John C. Langford have?
OpenAlex counts 249 works and 36,367 citations for John C. Langford, an h-index of 63, ranking #46,199 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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