Cengiz Pehlevan
Cengiz Pehlevan publishes mostly in Artificial Intelligence, Cognitive Neuroscience and Statistical and Nonlinear Physics, on topics such as Neural Networks and Applications, Neural dynamics and brain function and Stochastic Gradient Optimization Techniques.
- World rank
- #1,740,072 of 7,710,434 ranked researchers
- Rank in United States
- #536,763 of 1,627,098
- Works
- 180
- Citations
- 1.9k
- Citations per work
- 10.8
What does Cengiz Pehlevan research?
Cengiz Pehlevan's work is mostly in Computer Science (40%), Neuroscience (18%), Engineering (5%).
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 Sciences9150.8%
- Computer Science7240.0%
- Engineering105.4%
- Physics and Astronomy105.4%
- Everything else5630.9%
- Life Sciences3318.3%
- Neuroscience3318.3%
- 1Artificial Intelligence36% of their works
- 2Cognitive Neuroscience14% of their works
- 3Statistical and Nonlinear Physics5% of their works
- 4Electrical and Electronic Engineering5% of their works
- 5Computer Vision and Pattern Recognition4% of their works
- 6Cellular and Molecular Neuroscience4% of their works
Research topics
- Neural Networks and Applications
- Neural dynamics and brain function
- Stochastic Gradient Optimization Techniques
- Domain Adaptation and Few-Shot Learning
- Advanced Memory and Neural Computing
- Model Reduction and Neural Networks
- Gaussian Processes and Bayesian Inference
- Neurobiology and Insect Physiology Research
Which keywords describe Cengiz Pehlevan's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Backpropagation Learning, Self-Organizing Maps, Cortical Networks, Neuronal Oscillations, Machine Learning and Random Projections.
- Drosophila
- Gaussian Processes
- Model Reduction
- Neuromorphic Computing
- Domain Adaptation
- Random Projections
- Neuronal Oscillations
- Self-Organizing Maps
- Neural Networks
- Deep Learning
- Backpropagation Learning
- Cortical Networks
- Machine Learning
- Stochastic Gradient Descent
- Memristor
- Transfer Learning
- Partial Differential Equations
- Variational Inference
- Neuroscience
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 19 words, with their numbers
- Deep Learning1104 topics
- Neural Networks1043 topics
- Backpropagation Learning541 topic
- Self-Organizing Maps541 topic
- Cortical Networks491 topic
- Neuronal Oscillations491 topic
- Machine Learning282 topics
- Random Projections281 topic
- Stochastic Gradient Descent281 topic
- Domain Adaptation221 topic
- Memristor221 topic
- Neuromorphic Computing221 topic
- Transfer Learning221 topic
- Model Reduction151 topic
- Partial Differential Equations151 topic
- Gaussian Processes131 topic
- Variational Inference131 topic
- Drosophila121 topic
- Neuroscience121 topic
Where does Cengiz Pehlevan work?
Cengiz Pehlevan's main affiliation in the publication record is Harvard University, United States.
How many publications and citations does Cengiz Pehlevan have?
OpenAlex counts 180 works and 1,949 citations for Cengiz Pehlevan, an h-index of 22, ranking #1,740,072 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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