Computational and Mathematical Organization Theory

Aims & Scope

Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society.

The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research.

The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques.

Various types of papers and underlying research are welcome.

Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged.

Both applied and theoretical work is strongly encouraged.

The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization.

The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools.

Work related to fundamental concepts, corporate, military or intelligence issues are welcome.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.5

Journal Rank

Year	Value
2024	12345

Journal Citation Indicator

Year	Value
2024	153

SJR (SCImago Journal Rank)

Year	Value
2024	0.462

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	36

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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 and Mathematics, 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.

• Identifying sets of key players in a social network

  Citation: 846

  Authors: Stephen P.

• Aligning simulation models: A case study and results

  Citation: 306

  Authors: Robert, Robert, Joshua M., Michael D.

• Small Worlds Among Interlocking Directors: Network Structure and Distance in Bipartite Graphs

  Citation: 248

  Authors: Garry, Malcolm

• Scan Statistics on Enron Graphs

  Citation: 226

  Authors: Carey E., John M., David J., Youngser

• Confidence levels based Pythagorean fuzzy aggregation operators and its application to decision-making process

  Citation: 187

  Authors: Harish

• Network models of the diffusion of innovations

  Citation: 172

  Authors: ThomasW.

• Opening the ‘black box’ of simulations: increased transparency and effective communication through the systematic design of experiments

  Citation: 169

  Authors: Iris, Bernd-Oliver, Matthias

• Communication Networks from the Enron Email Corpus “It's Always About the People. Enron is no Different”

  Citation: 169

  Authors: Jana, Terrill L., Kathleen M.

• The virtual design team: A computational model of project organizations

  Citation: 165

  Authors: Yan, Raymond E.

• Uniformity, Bipolarization and Pluriformity Captured as Generic Stylized Behavior with an Agent-Based Simulation Model of Attitude Change

  Citation: 157

  Authors: Wander, Fr�d�ric

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