verified SJR 0,348 · Q3 • database Scopus / SJR & Web of Science indexed

United Kingdom · John Wiley & Sons Inc.

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IET Computer Vision

IET Computer Vision is a journal indexed in SJR in Software and Computer Vision and Pattern Recognition with an H index of 49. It has an SJR impact factor of 0,348 and it has a best quartile of Q3. It has an SJR impact factor of 0,348.

ISSN: 1751-9632

Publisher: John Wiley & Sons Inc.

Category: Software

Indexation: verifiedScopus / SJR verifiedWeb of Science

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schedule CountryOfPapers database fields

SJR Impact Factor trending_up

0,348 Q3

H-index 49

Acceptance rate pie_chart

33%

Source Acceptance_Rate

Time to publication hourglass_top

NPD

Field NPD

Publication cost (APC) payments

NPD Subscription

Non-OA path NPD

Metrics

Scimago and CountryOfPapers database fields

Scopus / SJR Web of Science

SJR Impact

0,348

H-index

Docs (year)

100

Docs 3y

203

Total refs

5665

Cites 3y

416

Citable 3y

198

Cites/Doc 2y

1.96

Ref/Doc

56.65

Immediate OA

—

Embargoed OA

NPD

Non OA / Submission

—

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Best articles by citations

Brain tumour classification using two-tier classifier with adaptive segmentation technique

Watching plants grow -a position paper on computer vision and Arabidopsis thaliana

Curve description by histograms of tangent directions

Curvature-based approach for multi-scale feature extraction from 3D meshes and unstructured point clouds

Crowd counting by the dual-branch scale-aware network with ranking loss constraints

Cooperative object tracking using dual-pan-tilt-zoom cameras based on planar ground assumption

Continuous camera placement using multiple objective optimisation process

Conjugate gradient algorithm for efficient covariance tracking with Jensen-Bregman LogDet metric

Computer-aided mammogram diagnosis system using deep learning convolutional fully complex-valued relaxation neural network classifier

Comparisons of local methods for face alignment

Compact discriminative object representation via weakly supervised learning for real-time visual tracking

Compact descriptor for local feature using dominating centre-symmetric local binary pattern

SHOW MORE ARTICLES

Catadioptric single-shot rangefinder for textured map building in robot navigation

3D driver pose estimation based on joint 2D-3D network

Bi-level thresholding for binarisation of handwritten and printed documents

Automatic underwater moving object detection using multi-feature integration framework in complex backgrounds

Augmented Lagrangian-based approach for dense three-dimensional structure and motion estimation from binocular image sequences

Affine invariant shape projection distribution for shape matching using relaxation labelling

Affine invariant matching of broken boundaries based on an enhanced genetic algorithm and distance transform

Addressing the illumination challenge in two-dimensional face recognition: a survey

Adaptive weighted real-time compressive tracking

Adaptive segmentation for multi-view stereo

Adaptive learning region importance for region-based image retrieval

Active learning with label correlation exploration for multi-label image classification

FAQs

IET Computer Vision has an SJR of 0,348 (best quartile Q3) in the CountryOfPapers database.

Immediate OA APC is not available (NPD).

The acceptance rate recorded for IET Computer Vision is 33%.

IET Computer Vision

Metrics

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Researcher reviews

Best articles by citations

FAQs

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