ACM Transactions on Management Information Systems

Aims & Scope

ACM Transactions on Management Information Systems (TMIS) is a scholarly quarterly journal that focuses on publishing high quality information systems research.

TMIS welcomes innovative work on the design, development, assessment, and management of information technology and systems within organizations, businesses, and societies.

TMIS welcomes submissions on a full range of MIS and information technology related areas and strongly encourages submissions with technical and technological ingredients, such as algorithmic, analytical modeling, design science, and system-oriented research, as well as submissions in emerging multidisciplinary MIS research topics that may span several traditional academic disciplines.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.6
2024	2.50

Journal Rank

Year	Value
2024	5048

Journal Citation Indicator

Year	Value
2024	560

SJR (SCImago Journal Rank)

Year	Value
2024	0.973

Quartile

Year	Value
2024	Q1

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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 and 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.

• The Netflix Recommender System

  Citation: 907

  Authors: Carlos A., Neil

• Trust in a specific technology

  Citation: 717

  Authors: D. Harrison, Michelle, Jason Bennett, Paul F.

• Blockchains for Business Process Management - Challenges and Opportunities

  Citation: 464

  Authors: Jan, Ingo, Wil Van Der, Jan Vom, Cristina, Florian, Søren, Claudio Di, Marlon, Schahram, Avigdor, Luciano, Guido, Richard, Marcello La, Henrik, Frank, Jan, Manfred, Hajo A., Stefanie, Andreas, Michael, Stefan, Munindar P., Tijs, Mark, Barbara, Matthias, Mathias, Xiwei, Liming

• Process Mining

  Citation: 324

  Authors: Wil

• The State-of-the-Art in Twitter Sentiment Analysis

  Citation: 175

  Authors: David, Ahmed, Daniel, Hsinchun

• I Can Help You Change! An Empathic Virtual Agent Delivers Behavior Change Health Interventions

  Citation: 168

  Authors: Christine, Reza, Ugan, Naphtali

• Measuring the Business Value of Recommender Systems

  Citation: 166

  Authors: Dietmar, Michael

• Text mining and probabilistic language modeling for online review spam detection

  Citation: 148

  Authors: Raymond Y. K., S. Y., Ron Chi-Wai, Kaiquan, Yunqing, Yuefeng

• The Effect of the GDPR on Privacy Policies

  Citation: 117

  Authors: Razieh Nokhbeh, K. Suzanne

• Person-Job Fit

  Citation: 115

  Authors: Chen, Hengshu, Hui, Chao, Fang, Pengliang, Pan

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