World Wide Web

Aims & Scope

World Wide Web: Internet and Web Information Systems (WWW) is an international, archival, peer-reviewed journal which covers all aspects of the World Wide Web, including issues related to architectures, applications, Internet and Web information systems, and communities.

The purpose of this journal is to provide an international forum for researchers, professionals, and industrial practitioners to share their rapidly developing knowledge and report on new advances in Internet and web-based systems.

The journal also focuses on all database- and information-system topics that relate to the Internet and the Web, particularly on ways to model, design, develop, integrate, and manage these systems.

Appearing quarterly, the journal publishes (1) papers describing original ideas and new results, (2) vision papers, (3) reviews of important techniques in related areas, (4) innovative application papers, and (5) progress reports on major international research projects.

Papers published in the WWW journal deal with subjects directly or indirectly related to the World Wide Web.

The WWW journal provides timely, in-depth coverage of the most recent developments in the World Wide Web discipline to enable anyone involved to keep up-to-date with this dynamically changing technology.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.4
2024	2.70

SJR (SCImago Journal Rank)

Year	Value
2024	0.876

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	62

Journal Rank

Year	Value
2024	5933

Journal Citation Indicator

Year	Value
2024	1569

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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, 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.

• Bringing Semantics to Web Services with OWL-S

  Citation: 323

  Authors: David, Mark, Drew, Sheila, Massimo, Katia, Deborah L., Evren, Naveen

• Mercator: A scalable, extensible Web crawler

  Citation: 279

  Authors: Allan, Marc

• Effective detection of sophisticated online banking fraud on extremely imbalanced data

  Citation: 232

  Authors: Wei, Jinjiu, Longbing, Yuming, Jiahang

• Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM classifier

  Citation: 230

  Authors: Asha S, P Deepa, M Chandra, Venugopal K

• Multi-center federated learning: clients clustering for better personalization

  Citation: 196

  Authors: Guodong, Ming, Tao, Tianyi, Xianzhi, Jing

• AO4BPEL: An Aspect-oriented Extension to BPEL

  Citation: 178

  Authors: Anis, Mira

• When large language models meet personalization: perspectives of challenges and opportunities

  Citation: 178

  Authors: Jin, Zheng, Xu, Chenwang, Qi, Gangwei, Yuanhao, Yuxuan, Xiaolong, Xingmei, Kai, Defu, Enhong

• Constructing dummy query sequences to protect location privacy and query privacy in location-based services

  Citation: 176

  Authors: Zongda, Guiling, Shigen, Xinze, Enhong, Guandong

• Changes in Web client access patterns: Characteristics and caching implications

  Citation: 175

  Authors: Paul, Azer, Adam, Mark

• A survey on large language models for recommendation

  Citation: 171

  Authors: Likang, Zhi, Zhaopeng, Hao, Hongchao, Tingjia, Chuan, Chen, Hengshu, Qi, Hui, Enhong

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