This journal publishes research on the application of computer vision and image analysis techniques to solve real-world problems. Articles focus on developing and evaluating methods for image classification, object detection, and image reconstruction across various domains. Common themes include the use of deep learning models, particularly Convolutional Neural Networks (CNNs) and Transformers, often in conjunction with feature extraction and ensemble learning approaches. Applications span areas such as medical image analysis, agricultural disease detection, sign language recognition, and underwater image processing.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Computer Vision and Pattern RecognitionQ4
SoftwareQ4
Subject Classification
Scopus Categories
Computer Vision and Pattern RecognitionSoftware
Research Topics (OpenAlex)
Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification TechniquesMedical Image Segmentation TechniquesAdvanced Vision and ImagingVideo Surveillance and Tracking MethodsRobotics and Sensor-Based LocalizationHandwritten Text Recognition TechniquesFace and Expression RecognitionImage and Signal Denoising MethodsRemote-Sensing Image Classification