Ranking & Metrics Journal Information Aims & Scope of the Journal Special Issues
Pattern Recognition

Pattern Recognition

Research
Impact Score 17.32

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: 17.32
JCR Impact Factor: 7.196
SCIMAGO SJR: 2.323
Scopus Citescore: 13.1
SCIMAGO H-index: 195
Research Ranking (Computer Science) 8
Number of Top scientists: 193
Documents by top scientists: 339

Journal Information

ISSN: 0031-3203
Publisher: Pattern Recognition
Periodicity: Monthly
Editors-in-Chief: Edwin Hancock

Aims & Scope of the Journal

Pattern Recognition publishes original research contributions in the arena of Image Processing & Computer Vision and Machine Learning & Artificial intelligence. The journal is directed at scholars, practitioners and scientists who are focused on such areas of scientific research . Pattern Recognition presents high-quality, original contributions where all submitted papers are peer reviewed to assure top quality. The journal welcomes submissions from the research community where attention will be on the innovativeness and the practical significance of the reported work.



Pattern Recognition is covered by a variety abstracting/indexing services including Scopus, Journal Citation Reports ( Clarivate ) and Guide2Research. Many leading scientists considered this journal to publish their scholarly documents including Xinbo Gao, Licheng Jiao, Robert Sabourin and Xiang Bai.

For more details on the instructions and submission provisions for authors, please consult the official website for the journal for Pattern Recognition at https://www.journals.elsevier.com/pattern-recognition .

Special Issues

Publisher Journal Details Closing date G2R Score
Fine-grained object retrieval, matching and ranking

10-10-2021

17.32

AI for Combating COVID-2019

AI for Combating COVID-2019

Pattern Recognition

31-12-2020

17.32

Meta-learning for Image/Video Segmentation

15-11-2020

17.32

Conformal and Probabilistic Prediction with Applications

30-07-2020

17.32

Bio/Neuroscience inspired pattern recognition

31-03-2018

17.32

Advances in Representation Learning

01-03-2018

17.32

Open-Set Big Data Understanding: Theory and Applications

01-12-2017

17.32

Pattern Recognition for High Performance Imaging

31-01-2017

17.32

Distance Metric Learning for Pattern Recognition

15-09-2016

17.32

Special Issue on Deep Image and Video Understanding

31-01-2016

17.32

Special Issue on Machine Learning in Medical Imaging

31-12-2015

17.32