ISSN: 0162-8828
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IEEE Transactions on Pattern Analysis and Machine Intelligence Q1 Unclaimed
IEEE Transactions on Pattern Analysis and Machine Intelligence is a journal indexed in SJR in Software and Applied Mathematics with an H index of 417. It has an SJR impact factor of 6,158 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 6,158.
IEEE Transactions on Pattern Analysis and Machine Intelligence focuses its scope in these topics and keywords: matching, motion, shape, d, number, applications, efficient, stereo, method, images, ...
Type: Journal
Type of Copyright:
Languages: English
Open Access Policy:
Type of publications:
Publication frecuency: -
- €
Inmediate OANPD
Embargoed OA- €
Non OAMetrics
6,158
SJR Impact factor417
H Index1132
Total Docs (Last Year)1248
Total Docs (3 years)79813
Total Refs26320
Total Cites (3 years)1236
Citable Docs (3 years)19.32
Cites/Doc (2 years)70.51
Ref/DocOther journals with similar parameters
International Journal of Computer Vision Q1
Information Fusion Q1
IEEE Transactions on Cybernetics Q1
IEEE Transactions on Evolutionary Computation Q1
Synthesis Lectures on Communication Networks Q1
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Aims and Scope
Best articles by citations
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
A theory for multiresolution signal decomposition: the wavelet representation
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Scale-space and edge detection using anisotropic diffusion
Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
A model of saliency-based visual attention for rapid scene analysis
Mean shift: a robust approach toward feature space analysis
Representation Learning: A Review and New Perspectives
Robust Face Recognition via Sparse Representation
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
Object Detection with Discriminatively Trained Part-Based Models
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
Image Super-Resolution Using Deep Convolutional Networks
Fast approximate energy minimization via graph cuts
Fully Convolutional Networks for Semantic Segmentation
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