International Journal of Semantic Computing

Aims & Scope

Semantic Computing (SC) is defined as "Computing with (machine processable) Descriptions of Content and Intentions." It brings together those disciplines concerned with connecting the (often vaguely formulated) intentions of humans with computational content that includes, but is not limited to, structured and semi-structured data, multimedia data, text, programs, services and, even, network behavior.

International Journal of Semantic Computing (IJSC) addresses the computing technologies (e.g., artificial intelligence, natural language, software engineering, data and knowledge engineering, computer systems, signal processing, etc.), and their interactions, that may be used to extract or process computational content and descriptions.

While some areas of Semantic Computing have appeared as isolated pieces in journals dedicated to individual disciplines, IJSC is a journal that glues these pieces together into an integrated theme with synergetic interactions.

It addresses not only the analysis and transformation of signals (e.g., pixels, words) into useful information, but also how such information can be synthesized and accessed.

IJSC publishes regular papers, review papers, case studies, tutorials, communications, book reviews, conference reports, industry trends, and product reviews.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.6
2024	0.30

SJR (SCImago Journal Rank)

Year	Value
2024	0.173

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	22

Journal Rank

Year	Value
2024	22887

Journal Citation Indicator

Year	Value
2024	66

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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
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Social Sciences, 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.

• Deep Learning

  Citation: 283

  Authors: Xing, Guigang, Shang

• C-SPARQL: A CONTINUOUS QUERY LANGUAGE FOR RDF DATA STREAMS

  Citation: 189

  Authors: DAVIDE FRANCESCO, DANIELE, STEFANO, EMANUELE DELLA, MICHAEL

• ON CONCEPT ALGEBRA FOR COMPUTING WITH WORDS (CWW)

  Citation: 64

  Authors: YINGXU

• ON FORMAL AND COGNITIVE SEMANTICS FOR SEMANTIC COMPUTING

  Citation: 62

  Authors: YINGXU

• AFFECTIVE CHARACTERIZATION OF MOVIE SCENES BASED ON CONTENT ANALYSIS AND PHYSIOLOGICAL CHANGES

  Citation: 50

  Authors: MOHAMMAD, GUILLAUME, JOEP J. M., THIERRY

• Automatic Video Event Detection for Imbalance Data Using Enhanced Ensemble Deep Learning

  Citation: 45

  Authors: Samira, Shu-Ching

• AN INTRODUCTION TO LOGICAL ENTROPY AND ITS RELATION TO SHANNON ENTROPY

  Citation: 44

  Authors: DAVID

• TOWARD A UNIFIED ENGLISH-LIKE REPRESENTATION OF SEMANTIC MODELS, DATA, AND GRAPH PATTERNS FOR SUBJECT MATTER EXPERTS

  Citation: 39

  Authors: ANDREW, ABHA

• Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook

  Citation: 37

  Authors: Eren, Hongda

• Improved Semantic Segmentation of Water Bodies and Land in SAR Images Using Generative Adversarial Networks

  Citation: 34

  Authors: M. M. Manohara, Vaibhav, Ujjwal, Radhika M.

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