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Visualization and Processing of Tensor Fields

Overview of attention for book
Visualization and Processing of Tensor Fields
Springer-Verlag Berlin Heidelberg

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Modelling, Fitting and Sampling in Diffusion MRI
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    Chapter 2 Tensors, Polynomials and Models for Directional Data
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    Chapter 3 A Mixture of Wisharts (MOW) Model for Multifiber Reconstruction
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    Chapter 4 Visualization and Processing of Tensor Fields
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    Chapter 5 Structure-Specific Statistical Mapping of White Matter Tracts
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    Chapter 6 Analysis of Distance/Similarity Measures for Diffusion Tensor Imaging
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    Chapter 7 Tensor Glyph Warping: Visualizing Metric Tensor Fields using Riemannian Exponential Maps
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    Chapter 8 Interactive Volume Rendering of Diffusion Tensor Data
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    Chapter 9 Dense Glyph Sampling for Visualization
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    Chapter 10 The Role of Tensor Fields for Satellite Gravity Gradiometry
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    Chapter 11 Tensor Visualization and Defect Detection for Nematic Liquid Crystals using Shape Characteristics
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    Chapter 12 A Tensor Approach to Elastography Analysis and Visualization
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    Chapter 13 A Higher-Order Structure Tensor
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    Chapter 14 Monogenic Curvature Tensor as Image Model
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    Chapter 15 A General Structure Tensor Concept and Coherence-Enhancing Diffusion Filtering for Matrix Fields
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    Chapter 16 Coordinates-Based Diffusion Over the Space of Symmetric Positive-Definite Matrices
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    Chapter 17 Variational Methods for Denoising Matrix Fields
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    Chapter 18 An Operator Algebraic Inverse Scale Space Method for Symmetric Matrix Valued Images
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
1 X user
wikipedia
5 Wikipedia pages

Readers on

mendeley
108 Mendeley
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Title
Visualization and Processing of Tensor Fields
Published by
Mathematics and Visualization, January 2009
DOI 10.1007/978-3-540-88378-4
ISBNs
978-3-54-088377-7, 978-3-54-088378-4, 978-3-64-210003-1
Authors

Laidlaw, David, Weickert, Joachim

Editors

David H. Laidlaw, Joachim Weickert

Timeline

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Netherlands 1 <1%
Ireland 1 <1%
Italy 1 <1%
Switzerland 1 <1%
Denmark 1 <1%
Canada 1 <1%
Spain 1 <1%
China 1 <1%
Other 0 0%
Unknown 96 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 35%
Researcher 24 22%
Student > Master 9 8%
Student > Doctoral Student 4 4%
Professor > Associate Professor 4 4%
Other 13 12%
Unknown 16 15%
Readers by discipline Count As %
Computer Science 25 23%
Engineering 20 19%
Mathematics 10 9%
Physics and Astronomy 10 9%
Agricultural and Biological Sciences 6 6%
Other 16 15%
Unknown 21 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 June 2024.
All research outputs
#7,576,681
of 25,992,468 outputs
Outputs from Mathematics and Visualization
#1
of 1 outputs
Outputs of similar age
#45,905
of 187,124 outputs
Outputs of similar age from Mathematics and Visualization
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 4.0. This one scored the same or higher as 0 of them.
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 187,124 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
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