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Nuclear reactor physics and engineering
TopicLeading institutions, researchers & key papers
This cluster of papers covers advanced nuclear reactor technology, including topics such as molten salt reactors, neutron transport, Generation IV reactors, the thorium fuel cycle, and small modular reactors. It also discusses the development and application of Monte Carlo codes, lead-cooled fast reactors, transmutation processes, and nuclear data libraries.
31
Works
IDs:OpenAlex
How has Nuclear reactor physics and engineering's publication output changed over time?
ScholarIQpublication output · 1998–2025
Output grew0% over the shown period — from 1 works in 1998 to 1 in 2025.
1
1
1
1
1
1
199820122014201520212025
What are the most-cited papers on Nuclear reactor physics and engineering?
ScholarIQmost cited works
Isobaric yield ratio difference and Shannon information entropy
Chun-Wang Ma, Hui-Ling Wei, Shanshan Wang, Y. G., Ryoichi Wada, Yanli Zhang
S173952182. 201532 CitationsOPEN ACCESS
Analysis on isotopic plutonium barrier based on spent nuclear fuel of LWR
Sidik Permana, Novitrian, Ismail, Mitsutoshi Suzuki, Masaki Saito
S197743716. 201411 Citations
Draft ASME Boiler and Pressure Vessel Code Cases and Technical Bases for Use of Alloy 617 for Constructions of Nuclear Component Under Section III, Division 5
Richard Wright
20219 CitationsOPEN ACCESS
Estimating the Uncertainty in Reactivity Accident Neutronic Calculations
D.J. Diamond, C. Y. Yang, A. Aronson
S4306400792. 19980 CitationsOPEN ACCESS
Where is Nuclear reactor physics and engineering research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
S17395218232
S19774371611
언어3
S43064007920
S27647446410
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Nuclear reactor physics and engineering is open access?
ScholarIQopen access share
50%OPEN ACCESS
Gold
17%
Green
33%
Hybrid
0%
Bronze
0%
Closed
50%
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Isotopic cross-sections in proton induced spallation reactions based on the Bayesian neural network method *
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