Intelligent Systems in Accounting, Finance and Management

Aims & Scope

Intelligent Systems in Accounting, Finance and Management is a quarterly international journal which publishes original, high quality material dealing with all aspects of intelligent systems as they relate to the fields of accounting, economics, finance, marketing and management.

In addition, the journal also is concerned with related emerging technologies, including big data, business intelligence, social media and other technologies.

It encourages the development of novel technologies, and the embedding of new and existing technologies into applications of real, practical value.

Therefore, implementation issues are of as much concern as development issues.

The journal is designed to appeal to academics in the intelligent systems, emerging technologies and business fields, as well as to advanced practitioners who wish to improve the effectiveness, efficiency, or economy of their working practices.

A special feature of the journal is the use of two groups of reviewers, those who specialize in intelligent systems work, and also those who specialize in applications areas.

Reviewers are asked to address issues of originality and actual or potential impact on research, teaching, or practice in the accounting, finance, or management fields.

Authors working on conceptual developments or on laboratory-based explorations of data sets therefore need to address the issue of potential impact at some level in submissions to the journal.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.7

SJR (SCImago Journal Rank)

Year	Value
2024	0.673

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	25

Journal Rank

Year	Value
2024	8498

Journal Citation Indicator

Year	Value
2024	269

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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 Economics, Econometrics and Finance, 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.

• Toward an ontology‐driven blockchain design for supply‐chain provenance

  Citation: 489

  Authors: Henry M., Marek

• CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE

  Citation: 229

  Authors: Hussein A., John

• Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms

  Citation: 200

  Authors: Mahla, Gholamreza, Jamshid

• Configuring blockchain architectures for transaction information in blockchain consortiums: The case of accounting and supply chain systems

  Citation: 191

  Authors: Daniel E.

• Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research

  Citation: 134

  Authors: Ingrid E., Margaret R., Mark E.

• Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey

  Citation: 113

  Authors: Ahmed M., Ifra, Pravija Raj, Magdi, Saadat M., Meenu

• Asking ‘Why’ in AI: Explainability of intelligent systems – perspectives and challenges

  Citation: 111

  Authors: Alun

• ‘BIG DATA’, THE ‘INTERNET OF THINGS’ AND THE ‘INTERNET OF SIGNS’

  Citation: 89

  Authors: Daniel E.

• Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat

  Citation: 86

  Authors: Xiaojie, Yun

• Combining data and text mining techniques for analysing financial reports

  Citation: 85

  Authors: Antonina, Tomas, Jonas, Barbro, Hannu, Ari

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