Ranking & Metrics Journal Information Aims & Scope of the Journal Special Issues
IEEE Transactions on Circuits and Systems for Video Technology

IEEE Transactions on Circuits and Systems for Video Technology

Research
Impact Score 9.9

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: 9.9
JCR Impact Factor: 4.133
SCIMAGO SJR: 1.306
Scopus Citescore: 9
SCIMAGO H-index: 162
Research Ranking (Computer Science) 50
Number of Top scientists: 141
Documents by top scientists: 237

Journal Information

ISSN: 1051-8215
Publisher: IEEE Transactions on Circuits and Systems for Video Technology
Periodicity: Monthly
Editors-in-Chief:
Journal & Submission Website: http://tcsvt.polito.it/

Aims & Scope of the Journal

IEEE Transactions on Circuits and Systems for Video Technology offers a place for the dissemination of innovative research findings in the rapidly developing fields of Hardware, Robotics & Electronics, Image Processing & Computer Vision and Machine Learning & Artificial intelligence . IEEE Transactions on Circuits and Systems for Video Technology publishes original scholarly contributions which go through peer review by experts in the field. The journal welcomes submissions from the research community where attention will be on the originality and the practical importance of the published findings.



IEEE Transactions on Circuits and Systems for Video Technology is listed in a wide variety of abstracting and indexing databases like Scopus, Web of Science and Guide2Research. A significant number of leading researchers have published their research contributions at this Journal including Wen Gao, Xuelong Li, Qi Tian and Yun-Qing Shi.

For additional details on the rules and submission requirements for authors, please see the official website for the journal for IEEE Transactions on Circuits and Systems for Video Technology at http://tcsvt.polito.it/ .

Special Issues

Publisher Journal Details Closing date G2R Score
Advanced Machine Learning Methodologies for Large-Scale Video Object Segmentation and Detection

Advanced Machine Learning Methodologies for Large-Scale Video Object Segmentation and Detection

IEEE Transactions on Circuits and Systems for Video Technology

01-12-2020

9.9

Deep Learning for Visual Surveillance

Deep Learning for Visual Surveillance

IEEE Transactions on Circuits and Systems for Video Technology

31-01-2017

9.9

Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis

Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis

IEEE Transactions on Circuits and Systems for Video Technology

31-12-2016

9.9

Group and Crowd Behavior Analysis for Intelligent Multi-camera Video Surveillance

Group and Crowd Behavior Analysis for Intelligent Multi-camera Video Surveillance

IEEE Transactions on Circuits and Systems for Video Technology

01-11-2015

9.9