Informatika i ee Primeneniya

Aims & Scope

The need for publishing such a journal was caused by rapid development of computer science and information technologies having great influence on the country’s development and IT penetration into all life-spheres of modern society.

The Journal’s subject area is determined by the fact that informatics is a complex discipline based on the achievements of other scientific fields including mathematics, physics, linguistics etc.

At the same time the Journal gives significant consideration to modern information technologies resulting from advances of informatics as a fundamental science.

The Journal invites authors to submit articles on theoretical problems of informatics and practical results of its real life implementation.

The main subject areas of scientific publications in the Journal are: -Theoretical fundamentals of informatics; -Mathematical methods for studying complex systems and processes; -Information technologies; -Architecture and software of computational complexes and networks.

Audience is computer and information specialists, engineers, students and postgraduates

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.220

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	10

Journal Rank

Year	Value
2024	20059

Journal Citation Indicator

Year	Value
2024	76

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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 Computer Science and Mathematics, 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.

• ON OPTIMIZATION PROBLEMS ARISING FROM THE APPLICATION OF TOPOLOGICAL DATA ANALYSIS TO THE SEARCH FOR FORECASTING ALGORITHMS WITH FIXED CORRECTORS

  Citation: 15

  Authors:

• ON THE FORMATION OF SETS OF PRECEDENTS BASED ON TABLES OF HETEROGENEOUS FEATURE DESCRIPTIONS BY METHODS OF TOPOLOGICAL THEORY OF DATA ANALYSIS

  Citation: 9

  Authors:

• RESOURCE QUEUING SYSTEMS AS MODELS OF WIRELESS COMMUNICATION SYSTEMS

  Citation: 6

  Authors:

• ON THE APPLICATION OF A TOPOLOGICAL APPROACH TO ANALYSIS OF POORLY FORMALIZED PROBLEMS FOR CONSTRUCTING ALGORITHMS FOR VIRTUAL SCREENING OF QUANTUM-MECHANICAL PROPERTIES OF ORGANIC MOLECULES I: THE BASICS OF THE PROBLEM-ORIENTED THEORY

  Citation: 5

  Authors:

• COMPARATIVE ANALYSIS OF REGRESSION ANALYSIS PROCEDURES

  Citation: 4

  Authors:

• AUTOMATIC METADATA EXTRACTION FROM SCIENTIFIC PDF DOCUMENTS

  Citation: 4

  Authors:

• METHODS OF CROSS-LINGUAL TEXT REUSE DETECTION IN LARGE TEXTUAL COLLECTIONS

  Citation: 3

  Authors:

• MULTIFACTOR FULLY CONNECTED LINEAR REGRESSION MODELS WITHOUT CONSTRAINTS TO THE RATIOS OF VARIABLES ERRORS VARIANCES

  Citation: 3

  Authors:

• QUEUEING SYSTEM WITH WORKING VACATIONS AND HYPEREXPONENTIAL INPUT STREAM

  Citation: 3

  Authors:

• APPLICATION OF SELF-ORGANIZING NEURAL NETWORKS TO THE PROCESS OF FORMING AN INDIVIDUAL LEARNING PATH

  Citation: 3

  Authors:

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