ISSN: 1572-2740

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Foundations and Trends in Computer Graphics and Vision Q1 Unclaimed

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Foundations and Trends in Computer Graphics and Vision is a journal indexed in SJR in Computer Vision and Pattern Recognition with an H index of 27. It has an SJR impact factor of 5,329 and it has a best quartile of Q1. It has an SJR impact factor of 5,329.

Type: Journal

Type of Copyright:

Languages:

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Computer Vision and Pattern Recognition (Q1)

Price

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

Foundations and Trends in Computer Graphics and Vision

5,329

SJR Impact factor

27

H Index

1

Total Docs (Last Year)

4

Total Docs (3 years)

195

Total Refs

110

Total Cites (3 years)

4

Citable Docs (3 years)

50

Cites/Doc (2 years)

195

Ref/Doc

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Other journals with similar parameters

IEEE Transactions on Pattern Analysis and Machine Intelligence Q1
International Journal of Computer Vision Q1
Medical Image Analysis Q1
Pattern Recognition Q1
IEEE Robotics and Automation Letters Q1

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Aims and Scope

Best articles by citations

Multi-View Stereo: A Tutorial

Domain Adaptation for Visual Recognition

Kernel Methods in Computer Vision

3D Reconstruction from Multiple Images Part 1: Principles

Structured Learning and Prediction in Computer Vision

Monocular Model-Based 3D Tracking of Rigid Objects: A Survey

Bilateral Filtering: Theory and Applications

Mesh Parameterization Methods and Their Applications

Local Invariant Feature Detectors: A Survey

(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision

A Stochastic Grammar of Images

Sparse Modeling for Image and Vision Processing

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The Path to Path-Traced Movies

Publishing and Consuming 3D

Image and Video Matting: A Survey

Image-Based Rendering

Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis

The Appearance of Human Skin: A Survey

Line Drawings from 3D Models: A Tutorial

Camera Models and Fundamental Concepts Used in Geometric Computer Vision