Citations Report

Computer Reviews Journal : Citations & Metrics Report

Articles published in Computer Reviews Journal have been cited by esteemed scholars and scientists all around the world.

Journal total citations count 216
Journal impact factor 1.48
Journal 5 years impact factor 0.99
Journal cite score 1.19
Journal h-index 6
Journal h-index since 2019 6
Use of Social Networking Sites in Academics: A Review
THE EFFECT OF INTROJECTED PERCEIVED LOCUS OF CONTROL AND TRUST ON INTENTION TO USE ECOMMERCE APPLICATIONS q
Robust RLS Wiener Fixed-Lag Smoothing Algorithm in Linear Discrete-Time Stochastic Systems with Uncertain Parameters
Numerical Simulation of Robust Recursive Least-Squares Wiener Estimators for Observations with Random Delays and Packet Dropouts in Systems with Uncertainties
Internet of Things-Based Security Model and Solutions for Educational Systems
INVESTIGATION AND IMPROVEMENT OF MULTIMODAL METHOD FOR INTERNET OF THINGS OBJECTS IDENTIFICATION AND AUTHENTICATION
Development and Evaluation of an Environmental Awareness Android Game
RLS Wiener Fixed-Point Smoother and Filter with Randomly Delayed or Uncertain Observations in Linear Discrete-Time Stochastic Descriptor Systems
Solving matrix games with hesitant fuzzy pay-offs
Why Estimation Algorithm of First Passage TimeTransitionProbabilities ConcernsGenetic AlgorithmsWithout Bit Mutation?
Detecting hate speech against politicians in Arabic community on social media
DCCD-INFOTEC at MeOffendEs@IberLEF21 Subtask 3: A Transfer Learning Approach Based on EvoMSA’s Stacked Generalization
Rumor Detection in Social Media Using Machine Learning Methods
Cyber-aggression, Cyberbullying, and Cyber-grooming: A Survey and Research Challenges
Artificial God Optimization - A Creation
Artificial Soul Optimization - An Invention
Ten Artificial Human Optimization Algorithms
Novel Artificial Human Optimization Field Algorithms - The Beginning
An Intelligent Model for Prediction of In-Vitro Fertilization Success using MLP Neural Network and GA Optimization
Application of Machine Learning and Artificial Intelligence Techniques for IVF Analysis and Prediction
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