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Mathematical and Computer Modelling
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Mathematical and Computer Modelling
Article . 2007
License: Elsevier Non-Commercial
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Mathematical and Computer Modelling
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Article . 2007
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Article . 2021
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FCCU transition-probability model

Authors: Robbie J. Dixon; Maki Matsuka; Roger D. Braddock; Joshua Matthew Whitcombe; Igor E. Agranovski;

FCCU transition-probability model

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

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Keywords

Numerical and computational mathematics, processes of attrition and agglomeration, laboratory experiments, Applied mathematics, Markov chains (discrete-time Markov processes on discrete state spaces), Computer Science Applications, Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.), modelling fluidised catalyst cracker unit emissions, Modelling and Simulation, Theory of computation

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid