LabCompass

Jonathan Nistor

Physics and Astronomy · Purdue University West Lafayette

Mid career · publishing since 2012

Publications

27

Citations

77

Est. group size

~2

Recurring co-author estimate

Active years

15

Publishing since 2012

Research summary
AI-generated

Jonathan Nistor works on nuclear engineering topics related to reactor operation and monitoring, particularly boiling water reactors. Recent work focuses on applying artificial intelligence and machine learning tools—such as neural networks and genetic algorithms—to problems like predicting thermal limits, designing reactor fuel cycles, measuring neutron flux, and enabling predictive maintenance for nuclear power plants.

Nuclear reactor engineeringBoiling water reactor design and operationAI/machine learning for nuclear applicationsPredictive maintenance and cloud-based monitoringNeutron flux measurement and calibration

Publication output has been uneven over the last decade, with active years (2017-2018, 2022-2023, 2026) interspersed with gaps (2020-2021, 2024-2025), rather than a clear growing or slowing trend.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.2/year recently
2017: 2 publications172018: 3 publications182019: 1 publication1920212022: 4 publications4222023: 4 publications42324252026: 3 publications26
Publishes in
  • Bulletin of the American Physical Society×5
  • SSRN Electronic Journal×2
  • arXiv (Cornell University)×2
  • Applied Radiation and Isotopes×1
  • Physics Procedia×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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