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Pseudo-Differential Operators and Generalized Functions

Overview of attention for book
Cover of 'Pseudo-Differential Operators and Generalized Functions'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Class of Fourier Integral Operators on Manifolds with Boundary
  3. Altmetric Badge
    Chapter 2 The Problem of Iterates in Some Classes of Ultradifferentiable Functions
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    Chapter 3 On Asymptotically Almost Periodic Generalized Solutions of Differential Equations
  5. Altmetric Badge
    Chapter 4 Gabor Wave Packets and Evolution Operators
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    Chapter 5 A Weighted Version of Wiener’s Lemma in p-normed Algebras for 0 < p ≤ 1
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    Chapter 6 Time-Frequency Initial Value Problems for Random MIMO Systems
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    Chapter 7 Microlocal Regularity of Besov Type for Solutions to Quasi-elliptic Nonlinear Partial Differential Equations
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    Chapter 8 Gelfand–Shilov Type Spaces Through Hermite Expansions
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    Chapter 9 Cauchy Problem for Second-order Hyperbolic Equations for Shubin Pseudodifferential Operators
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    Chapter 10 A Regularization Approach to Non-smooth Symplectic Geometry
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    Chapter 11 Equivalent Conditions for Integrability of Distributions
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    Chapter 12 Time-periodic Second-order Hyperbolic Equations: Fredholmness, Regularity, and Smooth Dependence
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    Chapter 13 The Ridgelet Transform and Quasiasymptotic Behavior of Distributions
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    Chapter 14 Equations Involving Malliavin Derivative: A Chaos Expansion Approach
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    Chapter 15 Generalized and Classical Solutions to a Characteristic Cauchy Problem with Hörmander Hypotheses
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    Chapter 16 On Generalized Solutions to Stochastic Systems
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    Chapter 17 Geodesic Completeness of Generalized Space-times
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    Chapter 18 Gabor Analysis for a Broad Class of Quasi-Banach Modulation Spaces
  20. Altmetric Badge
    Chapter 19 Spectral Analysis of Daubechies Localization Operators
Attention for Chapter 13: The Ridgelet Transform and Quasiasymptotic Behavior of Distributions
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Chapter title
The Ridgelet Transform and Quasiasymptotic Behavior of Distributions
Chapter number 13
Book title
Pseudo-Differential Operators and Generalized Functions
Published in
arXiv, January 2015
DOI 10.1007/978-3-319-14618-8_13
Book ISBNs
978-3-31-914617-1, 978-3-31-914618-8
Authors

Sanja Kostadinova, Stevan Pilipovic, Katerina Saneva, Jasson Vindas, Kostadinova, Sanja, Pilipović, Stevan, Saneva, Katerina, Vindas Diaz, Jasson, Stevan Pilipović

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X Demographics

The data shown below were collected from the profiles of 3 X users 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%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Mathematics 1 50%
Engineering 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 September 2017.
All research outputs
#14,909,825
of 23,852,579 outputs
Outputs from arXiv
#297,801
of 990,619 outputs
Outputs of similar age
#192,492
of 357,801 outputs
Outputs of similar age from arXiv
#1,995
of 11,141 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 990,619 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 357,801 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11,141 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.