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Gas Dynamics with Applications in Industry and Life Sciences

Overview of attention for book
Cover of 'Gas Dynamics with Applications in Industry and Life Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 The History and Significance of the Klein-Nishina Formula
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    Chapter 2 Constructions of Simple Kinetic Equations for a Dense Gas
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    Chapter 3 Double Layer Solutions of the Vlasov–Poisson System
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    Chapter 4 Inverse Magnus Effect in a Rarefied Gas
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    Chapter 5 A Discontinuous Galerkin Approach for Stabilized Maxwell’s Equations in Pseudo-Frequency Domain
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    Chapter 6 Bidomain Model for Axon Bundles with Random Geometry
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    Chapter 7 A Posteriori Error Estimates and Adaptive Error Control for Permittivity Reconstruction in Conductive Media
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    Chapter 8 Truncated SVD for Applications in Microwave Thermometry
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    Chapter 9 Methods of Quantitative Reconstruction for Acoustic Coefficient Inverse Problem
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    Chapter 10 Numerical Validation of Optimization Approach for Solution of Coefficient Inverse Problem in Pseudo-Frequency Domain
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    Chapter 11 A Multiscale Numerical Simulation of Quasi-Two-Dimensional Bacterial Turbulence Using a Regularized Stokeslet Representation
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    Chapter 12 Visualization of 14 C-labeled Gas Fixation in a Plant—Development of Real-Time Radioisotope Imaging
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    Chapter 13 Numerical Study on the Self-organized Pattern Formation of Run-and-Tumble Chemotactic Bacteria
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    Chapter 14 Derivation of a Generalised Replicator Equation in the Limit of Weak Selection
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    Chapter 15 A Review and Case Study of Neural Network Techniques for Automated Generation of High Level-of-Detail 3D City Models
Attention for Chapter 4: Inverse Magnus Effect in a Rarefied Gas
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Chapter title
Inverse Magnus Effect in a Rarefied Gas
Chapter number 4
Book title
Gas Dynamics with Applications in Industry and Life Sciences
Published in
Springer Proceedings in Mathematics & Statistics, January 2023
DOI 10.1007/978-3-031-35871-5_4
Book ISBNs
978-3-03-135870-8, 978-3-03-135871-5
Authors

Taguchi, Satoshi, Tsuji, Tetsuro

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Researcher 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 December 2023.
All research outputs
#17,732,227
of 25,992,468 outputs
Outputs from Springer Proceedings in Mathematics & Statistics
#1
of 1 outputs
Outputs of similar age
#276,358
of 482,636 outputs
Outputs of similar age from Springer Proceedings in Mathematics & Statistics
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.0. This one scored the same or higher as 0 of them.
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We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them

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