Journal of Cognitive Engineering and Decision Making

Aims & Scope

The focus of the Journal of Cognitive Engineering and Decision Making (JCEDM) is on research that seeks to understand how people engage in cognitive work in real-world settings and the development of systems that support that work.

The journal features research on human cognition and the application of this knowledge to the design and development of system interfaces, automation, aids and other support systems, training programs, personnel selection devices, and coordination environments for people who work in teams or groups.

Research that is conducted in both ecologically valid task simulations and in field settings is included.

JCEDM is interested in advances in the theory of cognition in naturalistic work environments, empirical results obtained from the study of decision processes, cognitive engineering initiatives, cognitive modeling, and innovative methodologies for conducting research in simulation and natural settings.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.2
2024	2.20

SJR (SCImago Journal Rank)

Year	Value
2024	0.739

Journal Rank

Year	Value
2024	7551

Quartile

Year	Value
2024	Q1

Journal Citation Indicator

Year	Value
2024	190

h-index

Year	Value
2024	43

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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, Engineering, Psychology 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.

• Situation Awareness, Mental Workload, and Trust in Automation: Viable, Empirically Supported Cognitive Engineering Constructs

  Citation: 514

  Authors: Raja, Thomas B., Christopher D.

• Situation Awareness Misconceptions and Misunderstandings

  Citation: 409

  Authors: Mica R.

• Autonomous Driving Systems: A Preliminary Naturalistic Study of the Tesla Model S

  Citation: 230

  Authors: Mica R.

• Human Performance Consequences of Automated Decision Aids

  Citation: 217

  Authors: Dietrich, Juliane, Linda

• Rapid Decision Making on the Fire Ground: The Original Study Plus a Postscript

  Citation: 180

  Authors: Gary, Roberta, Anne

• Adaptive Aiding of Human-Robot Teaming

  Citation: 169

  Authors: Ewart, Raja

• A Random Glance at the Flight Deck: Pilots' Scanning Strategies and the Real-Time Assessment of Mental Workload

  Citation: 126

  Authors: Francesco, Marco, Michela

• Issues in Human–Automation Interaction Modeling: Presumptive Aspects of Frameworks of Types and Levels of Automation

  Citation: 117

  Authors: David B.

• The Divergence of Objective and Subjective Situation Awareness: A Meta-Analysis

  Citation: 93

  Authors: Mica R.

• Resilience in Everyday Operations

  Citation: 83

  Authors: Amy, Jonas, Rogier, Carl, Erik

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