e-ISSN: 2602-3563
Founded: 2017
Publisher: Istanbul University
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3 Mart 2022 itibariyle yalnızca İngilizce dilinde yazılmış çalışmalar kabul edilecektir.


Acta INFOLOGICA (ACIN) is started its publication life in June 2017 as a peer-reviewed scientific journal under the management of the Informatics Department of the Istanbul University.

Starting from March 2022, except for the articles in process, the journal has started to consider manuscripts in English for evaluation and publication language has become English. Before March 2022 the publication languages of the journal were English and Turkish.
ACIN aims to contribute to the scientific community interested in the field of informatics and aims to provide a platform for researchers exploring issues based on the concepts of data-information-knowledge, information and communication technologies and applications. The journal welcomes multidisciplinary studies regarding the field as well.
ACIN is published twice a year in June and December. In order to ensure that the scientific content is published correctly and appropriately, all studies are evaluated by at least two referees. In the evaluation process, blind review method is applied. At the end of the evaluation process, the articles which are deemed appropriate for publishing are taken into publication order and informed to the paper owner. The studies submitted for evaluation to be published in ACIN are screened for similarity. The journal targets national and international audience. All work submitted for evaluation must be prepared in accordance with the ethical principles of scientific publishing and at the same time another journal, congress, conference etc. place should not be in the process of evaluation.

2022 - Volume: 6 Issue: 2

Research Article

Determining Online Travel Planning With Ahp And Topsis Methods

Research Article

Performance Evaluation of Magnitude Based Fuzzy Analytic Hierarchy Process (MFAHP) Method

Research Article

A Systematic Literature Review for New Technologies in IT Audit

Research Article

Comparison of outlier detection methods in linear regression: A multiple-criteria decision-making approach

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