Ivan Novikov
Papers
1
Total Citations
5
H-Index
1
About
Ivan Novikov is a researcher in nuclear physics and material analysis, specializing in neutron-based interrogation technologies. His work focuses on using prompt gamma-ray spectroscopy induced by 14-MeV neutrons to classify bulk materials. Novikov’s major contribution lies in developing methods for automatic analysis of spectral data, enabling the extraction of elemental parameters from prompt photon spectra for material identification. His most-cited paper, “Material Classification by Analysis of Prompt Photon Spectra Induced by 14-MeV Neutrons” (2015), has garnered 5 citations and demonstrates a practical approach to non-destructive bulk material analysis—a technique critical for security, industrial quality control, and nuclear safeguards. By advancing automated spectral interpretation, Novikov has helped make neutron-based analysis more accessible and reliable. His work is particularly notable for bridging experimental nuclear physics with applied engineering, offering a pathway toward real-time material classification. For students and researchers exploring non-destructive testing or nuclear spectroscopy, Novikov’s research provides a foundational example of how prompt gamma signatures can be harnessed to solve practical classification problems.
Research Focus
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Top Papers
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