International Journal of Advanced Statistics and IT&C for Economics and Life Sciences

Open access

The International Journal of Advanced Statistics and IT&C for Economics and Life Sciences is a peer-reviewed journal that publishes original papers in all areas of information science and life sciences. The journal publishes high-quality, peer-reviewed articles. It emphasizes a balanced coverage of both theory and practice.

The main objectives are to provide a guide to the resources in science and technology and their impact on scientific research as well as to publish large valuable information form datasets and other results.

Main subject areas suitable for publication are:

  • Anatomy and Physiology
  • Anthropology
  • Approximate Reasoning
  • Architecture Evaluations and Tools
  • Artificial Intelligence
  • Artificial Neural Networks
  • Automation and Mobile Robots
  • Behavioral Biology
  • Biochemistry
  • Bioinformatics
  • Bionics
  • Biophysics
  • Biotechnology
  • Cognitive Science
  • Computational Intelligence
  • Computer Communication Networks and Modelling
  • Computer Systems
  • Computer Vision Systems
  • Data Engineering and Compression
  • Data Fusion
  • Design of Algorithms
  • Developmental Biology
  • Discrete Event Systems
  • Ecology
  • Economic Policy
  • Economic Theory, Systems and Structures
  • Evolutionary Biology
  • Expert and Decision Support Systems
  • Finance and Economics Modelling and Optimization
  • Fuzzy Logic
  • Genetic Algorithms and Modelling
  • Genetics
  • History of Economics
  • Human Biology
  • Human-Computer Interface
  • Image Processing
  • Macroeconomics
  • Mathematical Linguistics
  • Microeconomics
  • Neurobiology
  • Numeric and Statistical Techniques
  • Pattern Recognition
  • Public Finance and Fiscal Theory
  • User-friendly Man Machine Interface
  • Virtual Reality

Also articles as well as case reports, from other areas of the spectrum of science and technology.

Similarity Check Plagiarism Screening System

The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process.

Detailed description of the Similarity Check System can be found at:
https://www.crossref.org/services/similarity-check/

Editor-in-Chief
Daniel VOLOVICI, Lucian Blaga University of Sibiu, Romania

Managing Editor
Radu George CRETULESCU, Lucian Blaga University of Sibiu, Romania

Editorial Advisory Board
Lucian VINTAN, Lucian Blaga University of Sibiu, Romania
Liliana ROGOZEA, Transilvania University of Brasov

Editors
Macarie BREAZU, Lucian Blaga University of Sibiu, Romania
Daniel MORARIU, Lucian Blaga University of Sibiu, Roma
Adrian FLOREA, Lucian Blaga University of Sibiu, Romania
Arpad GELLERT, Lucian Blaga University of Sibiu, Romania

Language Editors
Ioana COFARU, Lucian Blaga University of Sibiu, Romania

Technical Editors
Antoniu PITIC, Lucian Blaga University of Sibiu, Romania

Publisher
De Gruyter Poland
Bogumiła Zuga 32A Str.
01-811 Warsaw, Poland
T: +48 22 701 50 15