Journal of Computing and Information Science in Engineering

Aims & Scope

The ASME Journal of Computing and Information Science in Engineering (JCISE) publishes articles related to Algorithms, Computational Methods, Computing Infrastructure, Computer-Interpretable Representations, Human-Computer Interfaces, Information Science, and/or System Architectures that aim to improve some aspect of product and system lifecycle (e.g., design, manufacturing, operation, maintenance, disposal, recycling etc.).

Applications considered in JCISE manuscripts should be relevant to the mechanical engineering discipline.

Papers can be focused on fundamental research leading to new methods, or adaptation of existing methods for new applications.

Scope: Advanced Computing Infrastructure; Artificial Intelligence; Big Data and Analytics; Collaborative Design; Computer Aided Design; Computer Aided Engineering; Computer Aided Manufacturing; Computational Foundations for Additive Manufacturing; Computational Foundations for Engineering Optimization; Computational Geometry; Computational Metrology; Computational Synthesis; Conceptual Design; Cybermanufacturing; Cyber Physical Security for Factories; Cyber Physical System Design and Operation; Data-Driven Engineering Applications; Engineering Informatics; Geometric Reasoning; GPU Computing for Design and Manufacturing; Human Computer Interfaces/Interactions; Industrial Internet of Things; Knowledge Engineering; Information Management; Inverse Methods for Engineering Applications; Machine Learning for Engineering Applications; Manufacturing Planning; Manufacturing Automation; Model-based Systems Engineering; Multiphysics Modeling and Simulation; Multiscale Modeling and Simulation; Multidisciplinary Optimization; Physics-Based Simulations; Process Modeling for Engineering Applications; Qualification, Verification and Validation of Computational Models; Symbolic Computing for Engineering Applications; Tolerance Modeling; Topology and Shape Optimization; Virtual and Augmented Reality Environments; Virtual Prototyping

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.3

Journal Rank

Year	Value
2024	6918

Journal Citation Indicator

Year	Value
2024	1229

SJR (SCImago Journal Rank)

Year	Value
2024	0.788

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	62

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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 and Engineering, 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.

• Image-Based Surface Defect Detection Using Deep Learning: A Review

  Citation: 244

  Authors: Prahar M., Rishi K., Pradeep, Brual C., Shantanu, Yeo Jung, Satyandra K.

• Definition and Review of Virtual Prototyping

  Citation: 204

  Authors: G. Gary

• Introduction to ISO 10303—the STEP Standard for Product Data Exchange

  Citation: 184

  Authors: Michael J.

• Application of a Unified Jacobian—Torsor Model for Tolerance Analysis

  Citation: 159

  Authors: Alain, Walid, Luc

• Computer-Based Design Synthesis Research: An Overview

  Citation: 157

  Authors: Amaresh, Kristina, Robert, Jonathan, Matthew, Noe Vargas, Kristin L.

• Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

  Citation: 155

  Authors: Zhenguo, Haoliang, Levent Burak

• Toward Safe Human Robot Collaboration by Using Multiple Kinects Based Real-Time Human Tracking

  Citation: 142

  Authors: Carlos, Krishnanand N., Boxuan, Satyandra K.

• Digital Twins: Review and Challenges

  Citation: 140

  Authors: Maria G., Vicente J., Adriana S.

• A Review of the Capabilities of Current Low-Cost Virtual Reality Technology and Its Potential to Enhance the Design Process

  Citation: 136

  Authors: Joshua Q., Ian, John L.

• A Survey of Shape Similarity Assessment Algorithms for Product Design and Manufacturing Applications

  Citation: 129

  Authors: Antonio, Satyandra K., Mukul

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