International Review on Computers and Software

Aims & Scope

The International Review on Computers and Software (IRECOS) is a peer-reviewed journal that publishes original papers on all branches of the academic Computer Science and Engineering communities.

Thematic areas include, but are not limited to: -Computer Science Theory, Methods and Tools: Software engineering, algorithms and complexity, computational logic, formal methods, heuristics, mathematics and models of computation, programming languages and semantics. -Computer and Communications Networks and Systems: Network and distributed architectures and protocols, traffic engineering, resource management and Quality of Service, network monitoring and traffic measurements, wireless networks, personal and body area networks, vehicular networks, content and service-centric networking, multimedia communications and standards, energy efficient/green networks, opportunistic and cognitive networks. -Computational Intelligence, Machine Learning and Data Analytics: Human computer interaction, computational science, pattern recognition, computer vision, speech processing, machine intelligence and reasoning, web science, databases, information retrieval, visualisation, current applications domains, e.g.

Healthcare and BioInformatics, and emerging application domains, e.g. big data. -Security in Computer Systems and Networks: Computer systems security, hardware and embedded systems security, security protocol design and analysis, cryptography and cryptanalysis, intrusion detection systems and techniques, user authentication techniques and systems. -Hardware Design: Computer architectures, parallel architectures, operating systems and signal processing.

IRECOS also publishes letters to the Editor and research notes which discuss new research, or research in progress in any of the above thematic areas.

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Coupled Hidden Markov Model for Process Mining of Invisible Prime Tasks

  Citation: 24

  Authors: Riyanarto, Kelly R.

• Real-Time Electroencephalography-Based Emotion Recognition System

  Citation: 23

  Authors: Riyanarto, Muhammad Nadzeri, Brilian T.

• Hidden Markov Model for Process Mining of Parallel Business Processes

  Citation: 22

  Authors: Riyanarto, Kelly R.

• Sensor Array Optimization for Mobile Electronic Nose: Wavelet Transform and Filter Based Feature Selection Approach

  Citation: 19

  Authors: Dedy Rahman, Riyanarto, Enny

• A Gamified e-Learning Design Model to Promote and Improve Learning

  Citation: 19

  Authors: Reem I., Thair

• Modified Time-Based Heuristics Miner for Parallel Business Processes

  Citation: 17

  Authors: Riyanarto, Yutika Amelia, Fitrianing

• A Methodology of Model Transformation in MDA: from CIM to PIM

  Citation: 14

  Authors: Yassine, Y., A.

• Improvement of Energy Efficiency at Cloud Data Center Based on Fuzzy Markov Normal Algorithm VM Selection in Dynamic VM Consolidation

  Citation: 11

  Authors: Guruh Fajar, Azhari, Khabib

• CNB-MRF: Adapting Correlative Naive Bayes Classifier and MapReduce Framework for Big Data Classification

  Citation: 11

  Authors: Chitrakant, N.

• Novel Technique for Image Denoising Using Adaptive Haar Wavelet Transformation

  Citation: 11

  Authors: B. V. D. S., P. V. G. D., G. P. S.