Business Informatics

Aims & Scope

Business Informatics is a peer reviewed interdisciplinary academic journal published since 2007 by National Research University – Higher School of Economics (HSE), Moscow, Russian Federation.

The journal is administered by the Graduate School of Business.

The journal is issued quarterly; each paper is published in two languages – English and Russian.

The mission of the journal is to develop business informatics as a new field within both information technologies and management.

It provides dissemination of latest technical and methodological developments, promotes new competences and provides a framework for discussion in the field of application of modern IT solutions in business, management and economics.

The journal publishes papers in the areas of, but not limited to: modeling of social and economic systems, digital transformation of business, innovation management, information systems and technologies in business, data analysis and business intelligence systems, mathematical methods and algorithms of business informatics, business processes modeling and analysis, decision support in management.

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	20867

Journal Citation Indicator

Year	Value
2024	87

SJR (SCImago Journal Rank)

Year	Value
2024	0.205

Quartile

Year	Value
2024	Q4

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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

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Business, Management and Accounting, Computer Science 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.

• Big data analysis of IoT-based supply chain management considering FMCG industries

  Citation: 55

  Authors: Hamed, Mohammad, Hamed, Seyed Esmaeil

• Improving customer experience with artificial intelligence by adhering to ethical principles

  Citation: 12

  Authors: Olga

• Digital plant: methods of discrete-event modeling and optimization of production characteristics

  Citation: 11

  Authors: Valery, Albert, Gayane, Andranik

• The development of a model for the personalized learning path using machine learning methods

  Citation: 8

  Authors: Ekaterina, Vladimir, Yevgeniya

• Demand for skills on the labor market in the IT sector

  Citation: 7

  Authors: Andrei, Ekaterina

• Choosing the type of business model to implement the digital transformation strategy of a network enterprise

  Citation: 7

  Authors: Yury, Aleksey, Petr, Daria

• Simulation of development of individual heavy industry sectors

  Citation: 7

  Authors: Evgeniy, Victor

• How do information technology and knowledge management affect SMEs’ responsiveness to the coronavirus crisis?

  Citation: 7

  Authors: Naief

• Integrated neurosymbolic decision support systems: problems and opportunities

  Citation: 6

  Authors: Alexander, Eduard

• Classification of models and description of trends in assessing the causality of relationships in socio-economic processes

  Citation: 6

  Authors: Dmitry

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