Acta Mechanica et Automatica

Special Issue "New Trends in Biomedical Engineering"
Guest Editors: Jolanta Pauk and Kristina Daunoravičienė

Special Issue "CAD in Machinery Design Implementation and Educational Issues"
Guest Editors: Grzegorz Mieczkowski and Roman Kaczyński

Acta Mechanica et Automatica (AMA) is a journal publishing original research articles across the mechanical engineering, automatics and robotics, biocybernetics and biomedical engineering as well as civil and electrical engineering.

An AMA article should report new and original results that are of high scientific value, and make a substantial advance within a subfield of mechanical engineering, automatics and robotics, biocybernetics and biomedical engineering as well as civil and electrical engineering. The impact of the research should be significant enough that scientists outside the immediate field would be interested in the work. Authors of technically correct work that is only likely to be of some interest to a few experts in the field will, in general, be advised to seek publication in a more specialized journal.

Acta Mechanica et Automatica equips you with the latest information and best practice. We are committed to providing our readers with accessible, evidence-based articles on mechanics and automatics. Through peer review, our esteemed editorial board ensures that only high-quality, relevant articles are selected for publication in each issue.

Why submit

Submit your research to Acta Mechanica et Automatica to take advantage of:

• our insistence on fast and thorough peer review enables us to process manuscripts quickly,
• all articles are published and receive their final citation details on the day they are accepted,
• your work is freely accessible to a global audience.

Rejection Rate

• 41,71 % (2022)

Archiving

Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.

Plagiarism Policy

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.

For 2022-2024 Bialystok Univeristy of Technology received funding from the Minister of Education and Science
under the program „Development of Scientific Journals”
agreement no RCN/SP/0484/2021/1

Amount of funding: PLN 57 000