Croatian Operational Research Review

Aims & Scope

Croatian Operational Research Review (CRORR) is the journal which publishes original scientific papers from the area of operational research.

The purpose is to publish papers from various aspects of operational research (OR) with the aim of presenting scientific ideas that will contribute both to theoretical development and practical application of OR.

The scope of the journal covers the following subject areas: linear and non-linear programming, integer programing, combinatorial and discrete optimization, multi-objective programming, stohastic models and optimization, scheduling, macroeconomics, economic theory, game theory, statistics and econometrics, marketing and data analysis, information and decision support systems, banking, finance, insurance, environment, energy, health, neural networks and fuzzy systems, control theory, simulation, practical OR and applications.

The audience includes both researchers and practitioners from the area of operations research, applied mathematics, statistics, econometrics, intelligent methods, simulation, and other areas included in the above list of topics.

The journal has an international board of editors, consisting of more than 30 editors – university professors from Croatia, Slovenia, USA, Italy, Germany, Austria and other coutries.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences, Economics, Econometrics and Finance and Mathematics, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Decision Sciences, Economics, Econometrics and Finance and Mathematics, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

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.

• Two models of the capacitated vehicle routing problem

  Citation: 49

  Authors: Zuzana

• Decision trees for predicting the academic success of students

  Citation: 48

  Authors: Josip, Dario

• Machine learning methods in predicting the student academic motivation

  Citation: 38

  Authors: Ivana

• Predicting company growth using logistic regression and neural networks

  Citation: 35

  Authors: Marijana, Nataša, Adela, Ana

• A new projection-based algorithm for solving a large-scale nonlinear system of monotone equations

  Citation: 33

  Authors: Mushtak, Keyvan

• Web analytics tools and web metrics tools: An overview and comparative analysis

  Citation: 32

  Authors: Ivan, Daniela

• Characteristics of the Analytic Network Process, a Multi-Criteria Decision-Making Method

  Citation: 25

  Authors: Nikola

• Fuzzy expert system for land valuation in land consolidation processes

  Citation: 23

  Authors: Jelena, Katarina, Nikša

• GARCH based artificial neural networks in forecasting conditional variance of stock returns

  Citation: 22

  Authors: Josip, Tea, Zdravka

• Measurement of cost efficiency in the European banking industry

  Citation: 21

  Authors: Branka, Alen