Idan Mehalel
Idan Mehalel 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 Stochastic Gradient Optimization Techniques.
- World rank
- #5,318,516 of 7,710,434 ranked researchers
- Rank in United States
- #1,355,518 of 1,627,098
- Works
- 23
- Citations
- 1
What does Idan Mehalel research?
Idan Mehalel's work is mostly in Computer Science (77%), Decision Sciences (18%), Medicine (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 Sciences1876.9%
- Computer Science1876.9%
- Social Sciences418.5%
- Decision Sciences418.5%
- Everything else13.1%
- Health Sciences01.5%
- Medicine01.5%
- 1Artificial Intelligence71% of their works
- 2Management Science and Operations Research18% of their works
- 3Computer Vision and Pattern Recognition3% of their works
- 4Radiology, Nuclear Medicine and Imaging2% of their works
- 5Computer Networks and Communications2% of their works
- 6Information Systems2% of their works
Research topics
Which keywords describe Idan Mehalel's research?
The keywords of their largest research topics: Deep Learning, Convex Optimization, Machine Learning, Neural Networks, Semi-Supervised Learning, Online Learning, Active Learning and Gaussian Processes.
- Word Representation
- Machine Translation
- Transfer Learning
- Data Streams
- Robustness
- Stochastic Gradient Descent
- Bayesian Optimization
- Gaussian Processes
- Online Learning
- Neural Networks
- Convex Optimization
- Deep Learning
- Machine Learning
- Semi-Supervised Learning
- Active Learning
- Bandit Optimization
- Random Projections
- Adversarial Examples
- Concept Drift
- Domain Adaptation
- Compression
- Suffix Arrays
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 Learning293 topics
- Convex Optimization212 topics
- Machine Learning192 topics
- Neural Networks183 topics
- Semi-Supervised Learning162 topics
- Online Learning142 topics
- Active Learning131 topic
- Gaussian Processes131 topic
- Bandit Optimization111 topic
- Bayesian Optimization111 topic
- Random Projections101 topic
- Stochastic Gradient Descent101 topic
- Adversarial Examples61 topic
- Robustness61 topic
- Concept Drift31 topic
- Data Streams31 topic
- Domain Adaptation31 topic
- Transfer Learning31 topic
- Compression21 topic
- Machine Translation21 topic
- Suffix Arrays21 topic
- Word Representation21 topic
Where does Idan Mehalel work?
Idan Mehalel's main affiliation in the publication record is Hebrew College, United States.
How many publications and citations does Idan Mehalel have?
OpenAlex counts 23 works and 1 citations for Idan Mehalel, an h-index of 1, ranking #5,318,516 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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