Ranking & Metrics Journal Information Aims & Scope of the Journal Special Issues
Image and Vision Computing

Image and Vision Computing

Research
Impact Score 7.42

OFFICIAL WEBSITE

Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing top scientists in addition to the h-index estimated from the scientific papers published by top scientists. See more details on our methodology page.

Research Impact Score: 7.42
JCR Impact Factor: 3.103
SCIMAGO SJR: 1.032
Scopus Citescore: 6.7
SCIMAGO H-index: 125
Research Ranking (Computer Science) 76
Number of Top scientists: 62
Documents by top scientists: 63

Journal Information

ISSN: 0262-8856
Publisher: Image and Vision Computing
Periodicity: Monthly
Editors-in-Chief: S. Todorovic

Aims & Scope of the Journal

Image and Vision Computing publishes scholarly papers exploring novel fundamental contributions in the areas of Image Processing & Computer Vision and Machine Learning & Artificial intelligence. Image and Vision Computing publishes high-quality, original papers where all submitted papers are peer reviewed to provide the best quality. The journal encourages submissions from the research community where attention will be on the novelty and the practical importance of the reported findings.



Image and Vision Computing is listed in a wide variety of abstracting and indexing datasets including Scopus, Web of Science and Guide2Research. A number of leading researchers have published their research contributions at this Journal for instance Maja Pantic, Rama Chellappa, Björn W. Schuller and Andrew Zisserman.

For further details on the guidelines and submission provisions for authors, it is recommended to consult the official website for the journal for Image and Vision Computing at https://www.journals.elsevier.com/image-and-vision-computing .

Special Issues

Publisher Journal Details Closing date G2R Score
Video Computation and Reconstruction in Digital Twins

20-12-2021

7.42

Deep Learning Techniques Applied to Faces

Deep Learning Techniques Applied to Faces

Image and Vision Computing

15-09-2021

7.42

Learning with Manifolds in Computer Vision

Learning with Manifolds in Computer Vision

Image and Vision Computing

31-01-2021

7.42

Deep Cross-Media Neural Model for Generating Image Descriptions

10-09-2020

7.42

Cross-Media Learning for Visual Question Answering (VQA)

31-08-2020

7.42

Advances in Domain Adaptation for Computer Vision

31-08-2020

7.42

Deep Learning for Panoramic Vision on Mobile Devices

01-08-2020

7.42

Role of Computer Vision in Smart Cities

Role of Computer Vision in Smart Cities

Image and Vision Computing

05-12-2019

7.42

Reliable Automatic Facial Coding

Reliable Automatic Facial Coding

Image and Vision Computing

01-08-2017

7.42

Biometrics in the Wild

Biometrics in the Wild

Image and Vision Computing

30-06-2017

7.42

Reliable Automatic Facial Coding

Reliable Automatic Facial Coding

Image and Vision Computing

15-05-2017

7.42