Informatica

An International Journal of Computing and Informatics

Volume

32, 4 issues

Latest issue

32:3 online 14 September 2021

Next issue

32:4 scheduled for December 2021

Back volumes

From volume 1, 1990

ISSN print

0868-4952

ISSN online

1822-8844
Open Access

Aims & Scope

The quarterly journal Informatica provides an international forum for high-quality original research and publishes papers on mathematical simulation and optimization, recognition and control, programming theory and systems, automation systems and elements. Informatica provides a multidisciplinary forum for scientists and engineers involved in research and design including experts who implement and manage information systems applications.

The aims are:

  • To provide a balanced representation of theory and applications
  • To cover the research results of both the East and the West equally
  • To provide fast publication of quality papers by the efficient work of referees
  • To provide an early access to the information by presenting the PDF files of the complete papers on the Internet.

All these aims taken together explain the unique quality of this journal and how it is distinguished from other journals in the rapidly expanding field.

Editorial Board

Editor-in-Chief

Gintautas Dzemyda
Institute of Data Science and Digital Technologies
Vilnius University, Vilnius, Lithuania
Email: gintautas.dzemyda [@] mii.vu.lt

Founding Editor

Jonas Mockus
Institute of Data Science and Digital Technologies
Vilnius University, Vilnius, Lithuania

Editor

Julius Zilinskas
Institute of Data Science and Digital Technologies
Vilnius University, Vilnius, Lithuania

Managing Editor

Rasa Karbauskaite
Institute of Data Science and Digital Technologies
Vilnius University, Vilnius, Lithuania

Technical Editor

Ina Talandiene
VTEX

International Editorial Board

Algirdas Antanas Avizienis
University of California
USA

James K. Ho
University of Illinois at Chicago
USA

Panos M. Pardalos
University of Florida
USA

Gang Kou
Southwestern University of Finance and Economics
China

Antonis C. Kokossis
National Technical University of Athens
Greece

Joseph B. Kadane
Carnegie Mellon University
USA

Brigitte Jaumard
Concordia University
Canada

Masao Iri
University of Tokyo
Japan

Enrique Herrera-Viedma
University of Granada
Spain

Kim-Kwang Raymond Choo
The University of Texas at San Antonio
USA

Yury A. Flerov
Russian Academy of Sciences
Russia

Florin Gheorghe Filip
Romanian Academy
Romania

Yury G. Evtushenko
Dorodnicyn Computing Centre of the Russian Academy of Sciences
Russia

Sergey Mikhailovich Ermakov
University of St. Petersburg
Russia

William F. Eddy
Carnegie Mellon University
USA

Mohamed I. Dessouky
University of Southern California
USA

Peter Zinterhof
University of Salzburg
Austria

Local Editorial Board

Romas Baronas
Vilnius University
Lithuania

Albertas Caplinskas
Vilnius University Institute of Data Science and Digital Technologies,
Lithuania

Vytautas Kaminskas
Vytautas Magnus University
Lithuania

Sarunas Raudys
Vilnius University, informatics
Lithuania

Mifodijus Sapagovas
Vilnius University Institute of Data Science and Digital Technologies
Lithuania

Rimantas Seinauskas
Kaunas University of Technology
Lithuania

Laimutis Telksnys
Vilnius University Institute of Data Science and Digital Technologies
Lithuania

Vladas Tumasonis
Vilnius University, informatics
Lithuania

Edmundas Kazimieras Zavadskas
Vilnius Gediminas Technical University, informatics engineering
Lithuania

Antanas Zilinskas
Vilnius University Institute of Data Science and Digital Technologies
Lithuania

Gintautas Zintelis
Lithuanian Academy of Sciences, informatics engineering 
Lithuania

Author Guidelines

SUBMISSION OF MANUSCRIPT

By submitting my article to this journal, I agree to the IOS Press License to Publish: https://www.iospress.nl/service/authors/author-copyright-agreement/ and the IOS Press Privacy Policy: https://www.iospress.nl/privacy-policy/.

See instructions to authors.

KUDOS
Authors of published articles (non-prepress, final articles) will be contacted by Kudos. Kudos is a service that helps researchers maximize the impact and visibility of their research. It allows authors to enrich their articles with lay metadata, add links to related materials and promote their articles through the Kudos system to a wider public. Authors will receive no more than three emails: one invitation and a maximum of two reminders to register for the service and link the published article to their profile. Using and registering for Kudos remains entirely optional. For more information, please have a look at our authors section.

HOW TO PROMOTE YOUR WORK

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