scispace - formally typeset
R

Reuel Shinnar

Researcher at City College of New York

Publications -  86
Citations -  3234

Reuel Shinnar is an academic researcher from City College of New York. The author has contributed to research in topics: Thermal energy storage & Critical point (thermodynamics). The author has an hindex of 33, co-authored 86 publications receiving 3105 citations. Previous affiliations of Reuel Shinnar include City University of New York.

Papers
More filters
Journal ArticleDOI

Breakup of a laminar capillary jet of a viscoelastic fluid

TL;DR: Laminar capillary jet of viscoelastic fluid, discussing breakup, non-Newtonian jet stability and elastic properties as discussed by the authors, discussing breakup and nonNewtonians.
Journal ArticleDOI

How long do new-onset seizures in children last?

TL;DR: The data suggest that, once a seizure lasts for more than 5–10 minutes, it is unlikely to stop spontaneously within the next few minutes, and intervention is therefore indicated, support the continued use of the current definition of status epilepticus as a seizure lasting for 30 minutes or longer for epidemiologic studies.
Journal ArticleDOI

Dynamic and control of fluidized catalytic crackers. 1: Modeling of the current generation of FCC`s

TL;DR: In this paper, an improved and updated model for modern fluidized bed catalytic crackers (FCC) is presented based on a more detailed kinetic description of the kinetics in both the reactor and the regenerator using the full range of published data.
Journal ArticleDOI

The hydrogen economy, fuel cells, and electric cars

TL;DR: In this article, the authors present a detailed technical and economic analysis of the proposed hydrogen economy and the advantages of some alternatives, principally electricity-based, principally renewable, for the long term.
Journal ArticleDOI

The Effects of the Criminal Justice System on the Control of Crime: A Quantitative Approach

TL;DR: The role of prison sentences in crime prevention is discussed in this paper, where the authors present a mathematical model to make approximate quantitative estimates based on available statistical information, which they use for crime prevention.