Paul J. Werbos
Paul J. Werbos publishes mostly in Artificial Intelligence, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, on topics such as Neural Networks and Applications, Quantum Mechanics and Applications and Quantum Information and Cryptography.
- World rank
- #509,617 of 7,710,434 ranked researchers
- Rank in United States
- #177,349 of 1,627,098
- Works
- 191
- Citations
- 18k
- Citations per work
- 92.0
What does Paul J. Werbos research?
Paul J. Werbos's work is mostly in Computer Science (38%), Physics and Astronomy (17%), Neuroscience (7%).
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 Sciences11861.6%
- Computer Science7338.2%
- Physics and Astronomy3217.0%
- Engineering126.4%
- Everything else6031.2%
- Life Sciences147.2%
- Neuroscience147.2%
- 1Artificial Intelligence31% of their works
- 2Atomic and Molecular Physics, and Optics12% of their works
- 3Cognitive Neuroscience7% of their works
- 4Computational Theory and Mathematics7% of their works
- 5Control and Systems Engineering6% of their works
- 6Statistical and Nonlinear Physics5% of their works
Research topics
Which keywords describe Paul J. Werbos's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Entanglement, Quantum Information, Backpropagation Learning, Self-Organizing Maps, Bell Inequality and Decoherence.
- Cortical Networks
- Genetic Programming
- Quantum Algorithms
- Autonomous Control
- Adaptive Dynamic Programming
- Cryptography
- Decoherence
- Self-Organizing Maps
- Quantum Information
- Deep Learning
- Neural Networks
- Entanglement
- Backpropagation Learning
- Bell Inequality
- Reinforcement Learning
- Quantum
- Optimal Control
- Robotics
- Quantum Computation
- Machine Learning
- Neuronal Oscillations
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 21 words, with their numbers
- Neural Networks833 topics
- Deep Learning632 topics
- Entanglement612 topics
- Quantum Information522 topics
- Backpropagation Learning481 topic
- Self-Organizing Maps481 topic
- Bell Inequality391 topic
- Decoherence391 topic
- Reinforcement Learning352 topics
- Cryptography221 topic
- Quantum221 topic
- Adaptive Dynamic Programming201 topic
- Optimal Control201 topic
- Autonomous Control151 topic
- Robotics151 topic
- Quantum Algorithms131 topic
- Quantum Computation131 topic
- Genetic Programming111 topic
- Machine Learning111 topic
- Cortical Networks101 topic
- Neuronal Oscillations101 topic
Where does Paul J. Werbos work?
Paul J. Werbos's main affiliation in the publication record is U.S. National Science Foundation, United States.
How many publications and citations does Paul J. Werbos have?
OpenAlex counts 191 works and 17,578 citations for Paul J. Werbos, an h-index of 33, ranking #509,617 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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