Information Processing and Management

Aims & Scope

Information Processing and Management publishes cutting-edge original research at the intersection of computing and information science concerning theory, methods, or applications in a range of domains, including but not limited to advertising, business, health, information science, information technology marketing, and social computing.

The journal aims to serve the interests of primary researchers but also practitioners in furthering knowledge at the intersection of computing and information science by providing an effective forum for the timely dissemination of advanced and topical issues.

The journal is especially interested in original research articles, research survey articles, research method articles, and articles addressing critical applications of research.

Specifically, the journal is interested in four types of manuscripts, which are: Research manuscripts addressing topics at the intersection of computer and information science.

Methods manuscripts focusing on the application of novel methods at the intersection of computer and information science.

Review manuscripts assessing, in a critical and in-depth manner, a broad trend at the intersection of computer and information science, providing integration of the prior research, and recommendations for further work in the area.

Critical application manuscripts concerning system design research at the intersection of computer and information science.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	6.9
2024	7.40

Journal Rank

Year	Value
2024	1356

Journal Citation Indicator

Year	Value
2024	9920

SJR (SCImago Journal Rank)

Year	Value
2024	2.062

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	137

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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, Decision Sciences, Engineering 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.

• Term-weighting approaches in automatic text retrieval

  Citation: 5686

  Authors: Gerard, Christopher

• A systematic analysis of performance measures for classification tasks

  Citation: 4604

  Authors: Marina, Guy

• An information-theoretic perspective of tf–idf measures

  Citation: 1062

  Authors: Akiko

• Real life, real users, and real needs: a study and analysis of user queries on the web

  Citation: 830

  Authors: Bernard J., Amanda, Tefko

• An overview of online fake news: Characterization, detection, and discussion

  Citation: 695

  Authors: Xichen, Ali A.

• Bibliometric cartography of information retrieval research by using co-word analysis

  Citation: 678

  Authors: Ying, Gobinda G, Schubert

• Centroid-based summarization of multiple documents

  Citation: 603

  Authors: Dragomir R., Hongyan, Małgorzata, Daniel

• Text mining techniques for patent analysis

  Citation: 581

  Authors: Yuen-Hsien, Chi-Jen, Yu-I

• Information behaviour: An interdisciplinary perspective

  Citation: 565

  Authors: T.D.

• Co-authorship networks in the digital library research community

  Citation: 557

  Authors: Xiaoming, Johan, Michael L., Herbert

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