International Journal of Computers and Applications

Aims & Scope

The International Journal of Computers and Applications (IJCA) is a unique platform for publishing novel ideas, research outcomes and fundamental advances in all aspects of Computer Science, Computer Engineering, and Computer Applications.

This is a peer-reviewed international journal with a vision to provide the academic and industrial community a platform for presenting original research ideas and applications.

IJCA welcomes four special types of papers in addition to the regular research papers within its scope: (a) Papers for which all results could be easily reproducible.

For such papers, the authors will be asked to upload "instructions for reproduction'', possibly with the source codes or stable URLs (from where the codes could be downloaded). (b) Papers with negative results.

For such papers, the experimental setting and negative results must be presented in detail.

Also, why the negative results are important for the research community must be explained clearly.

The rationale behind this kind of paper is that this would help researchers choose the correct approaches to solve problems and avoid the (already worked out) failed approaches. (c) Detailed report, case study and literature review articles about innovative software / hardware, new technology, high impact computer applications and future development with sufficient background and subject coverage. (d) Special issue papers focussing on a particular theme with significant importance or papers selected from a relevant conference with sufficient improvement and new material to differentiate from the papers published in a conference proceedings.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.413

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	26

Journal Rank

Year	Value
2024	13484

Journal Citation Indicator

Year	Value
2024	709

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Abstracting & Indexing

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

• Scopus
• Google Scholar

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Subjects & Keywords

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

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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.

• Grid search in hyperparameter optimization of machine learning models for prediction of HIV/AIDS test results

  Citation: 174

  Authors: Daniel Mesafint, Manjaiah D.

• Learning Object Evaluation: Computer-Mediated Collaboration And Inter-Rater Reliability

  Citation: 100

  Authors: J., J.C., K., A.

• Optimal feature extraction and classification-oriented medical insurance prediction model: machine learning integrated with the internet of things

  Citation: 70

  Authors: Subrata, P., Ramya

• An Improved Fruit Fly Optimization (IFFOA) based Cluster Head Selection Algorithm for Internet of Things

  Citation: 69

  Authors: Ravi Kumar, Lokesh

• Smart system to create an optimal higher education environment using IDA and IOTs

  Citation: 55

  Authors: Samaher

• Present and future of semantic web technologies: a research statement

  Citation: 53

  Authors: Archana, Sarika

• A survey of intrusion detection from the perspective of intrusion datasets and machine learning techniques

  Citation: 47

  Authors: Geeta, Neelu

• A typical IoT architecture-based regular monitoring of arthritis disease using time wrapping algorithm

  Citation: 45

  Authors: P., S.

• Ontologies as a semantic model in IoT

  Citation: 36

  Authors: Sanju, Sarika

• Near real-time twitter spam detection with machine learning techniques

  Citation: 35

  Authors: Nan, Guanjun, Junyang, Paul

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