Expert Systems with Applications

Aims & Scope

Expert Systems With Applications is a refereed international journal whose focus is on exchanging information relating to expert and intelligent systems applied in industry, government, and universities worldwide.

The thrust of the journal is to publish papers dealing with the design, development, testing, implementation, and/or management of expert and intelligent systems, and also to provide practical guidelines in the development and management of these systems.

The journal will publish papers in expert and intelligent systems technology and application in the areas of, but not limited to: finance, accounting, engineering, marketing, auditing, law, procurement and contracting, project management, risk assessment, information management, information retrieval, crisis management, stock trading, strategic management, network management, telecommunications, space education, intelligent front ends, intelligent database management systems, medicine, chemistry, human resources management, human capital, business, production management, archaeology, economics, energy, and defense.

Papers in multi-agent systems, knowledge management, neural networks, knowledge discovery, data and text mining, multimedia mining, and genetic algorithms will also be published in the journal.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	7.5

SJR (SCImago Journal Rank)

Year	Value
2024	1.854

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	290

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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.

• Marine Predators Algorithm: A nature-inspired metaheuristic

  Citation: 1928

  Authors: Afshin, Mohammad, Seyedali, Amir H.

• A state-of the-art survey of TOPSIS applications

  Citation: 1926

  Authors: Majid, S., Morteza, Joshua

• Learning from class-imbalanced data: Review of methods and applications

  Citation: 1818

  Authors: Guo, Li, Jennifer, Gu, Huang, Gong

• A simple and fast algorithm for K-medoids clustering

  Citation: 1639

  Authors: Hae-Sang, Chi-Hyuck

• Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization

  Citation: 1474

  Authors: Seyedali, Shahrzad, Seyed Mohammad, Leandro dos S.

• Feature reduction and selection for EMG signal classification

  Citation: 1243

  Authors: Angkoon, Pornchai, Chusak

• A comparison of random forest variable selection methods for classification prediction modeling

  Citation: 1186

  Authors: Jaime Lynn, Michael E., Janet, Edward

• Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer

  Citation: 1167

  Authors: Laith, Mohamed Abd, Putra, Zong Woo, Amir H.

• A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method

  Citation: 1164

  Authors: Fatih Emre, Serkan, Mustafa, Diyar

• A GA-based feature selection and parameters optimizationfor support vector machines

  Citation: 1131

  Authors: Cheng-Lung, Chieh-Jen

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