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Researcher · U.S. National Science Foundation · United States

Paul J. Werbos

Paul J. Werbos publishes mostly in Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, on topics such as Neural Networks and Applications, Quantum Mechanics and Applications and Advanced Thermodynamics and Statistical Mechanics.

ORCID 0000-0002-1288-3387 OpenAlex
World rank
#105,692
of 1,633,909 ranked researchers
Rank in United States
#46,013
of 358,040
Works
49
Citations
325
Citations per work
6.6

What does Paul J. Werbos research?

Artificial Intelligence: 31.1%Atomic and Molecular Physics, and Optics: 11.5%Statistical and Nonlinear Physics: 6.6%Astronomy and Astrophysics: 6.6%other fields: 44.2%31%top field
Artificial Intelligence31.1%Atomic and Molecular Physics, and Optics11.5%Statistical and Nonlinear Physics6.6%Astronomy and Astrophysics6.6%other fields44.2%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence31% of their works
  2. 2Atomic and Molecular Physics, and Optics12% of their works
  3. 3Statistical and Nonlinear Physics7% of their works
  4. 4Astronomy and Astrophysics7% of their works
  5. 5Computational Theory and Mathematics5% of their works
  6. 6Cognitive Neuroscience5% of their works

Research topics

Which keywords describe Paul J. Werbos's research?

The keywords of their largest research topics: Deep Learning, Entanglement, Neural Networks, Backpropagation Learning, Bell Inequality, Decoherence, Self-Organizing Maps and Machine Learning.

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 20 words, with their numbers
  1. Deep Learning92 topics
  2. Entanglement92 topics
  3. Neural Networks92 topics
  4. Backpropagation Learning71 topic
  5. Bell Inequality71 topic
  6. Decoherence71 topic
  7. Self-Organizing Maps71 topic
  8. Machine Learning42 topics
  9. Fluctuation Theorems31 topic
  10. Stochastic Thermodynamics31 topic
  11. Classification21 topic
  12. Cryptography21 topic
  13. Fuzzy Cognitive Maps21 topic
  14. Genetic Programming21 topic
  15. Modeling21 topic
  16. Neuromorphic Photonics21 topic
  17. Photonic Reservoir Computing21 topic
  18. Quantum21 topic
  19. Reinforcement Learning21 topic
  20. Robotics21 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?

Science Explorer counts 49 works and 325 citations for Paul J. Werbos, ranking #105,692 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.