Information Systems Research

Aims & Scope

ISR (Information Systems Research) is a journal of INFORMS, the Institute for Operations Research and the Management Sciences.

Information Systems Research is a leading international journal of theory, research, and intellectual development, focused on information systems in organizations, institutions, the economy, and society.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	5.1
2024	5.00

Journal Rank

Year	Value
2024	304

Journal Citation Indicator

Year	Value
2024	2301

SJR (SCImago Journal Rank)

Year	Value
2024	4.850

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	192

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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 Business, Management and Accounting, Computer Science, Decision Sciences 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.

• Information Systems Success: The Quest for the Dependent Variable

  Citation: 5790

  Authors: William H., Ephraim R.

• Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation

  Citation: 5251

  Authors: Gary C., Izak

• Understanding Information Technology Usage: A Test of Competing Models

  Citation: 4951

  Authors: Shirley, Peter A.

• A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study

  Citation: 4338

  Authors: Wynne W., Barbara L., Peter R.

• Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model

  Citation: 4137

  Authors: Viswanath

• Developing and Validating Trust Measures for e-Commerce: An Integrative Typology

  Citation: 3244

  Authors: D. Harrison, Vivek, Charles

• Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior

  Citation: 2290

  Authors: Kieran

• A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology

  Citation: 2286

  Authors: Ritu, Jayesh

• Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model

  Citation: 2077

  Authors: Naresh K., Sung S., James

• <b>Research Commentary</b>—The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research

  Citation: 2063

  Authors: Youngjin, Ola, Kalle

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