Studies in Logic, Grammar and Rhetoric

Aims & Scope

SLGR welcomes original, high-quality contributions that have been neither published in nor submitted to any journals or refereed conferences.

The papers will be single-blind reviewed.

Topics of interest include, but are not limited to: 1.Logic 2.Language and Linguistics 3.History and Philosophy of Science 4.Law Theory/Law Philosophy 5.

Information Technology and in Logical Statistical and Computer Methods in Medicine: 6.Artificial intelligence in medicine 7.Biostatistics 8.Bioinformatics

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)

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Arts and Humanities, 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
• 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 Arts and Humanities, 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.

• Entropy-Based Algorithms in the Analysis of Biomedical Signals

  Citation: 100

  Authors: Marta

• Poincaré Plots in Analysis of Selected Biomedical Signals

  Citation: 74

  Authors: Agnieszka Kitlas

• Clustering Algorithms in Hybrid Recommender System on MovieLens Data

  Citation: 36

  Authors: Urszula

• Explaining Cognitive Phenomena with Internal Representations: A Mechanistic Perspective

  Citation: 28

  Authors: Paweł

• The Computer-Assisted Web Interview Method as Used in the National Study of ICT Use in Primary Healthcare in Poland – Reflections on a Case Study

  Citation: 26

  Authors: Paweł, Bartosz, Michalina, Dominik, Sylwia, Andrzej

• Early-Stage Pilot Study on Using Fractional-Order Calculus-Based Filtering for the Purpose of Analysis of Electroencephalography Signals

  Citation: 21

  Authors: Aleksandra, Waldemar, Magda, Jerzy

• The Hard Problem Of Content: Solved (Long Ago)

  Citation: 20

  Authors: Marcin

• Computer-Aided Diagnosis of Liver Tumors Based on Multi-Image Texture Analysis of Contrast-Enhanced CT. Selection of the Most Appropriate Texture Features

  Citation: 20

  Authors: Dorota, Marek, Johanne

• REC: Just Radical Enough

  Citation: 20

  Authors: Erik, Daniel D.

• Comparison of Artificial Neural Networks and Logistic Regression Analysis in Pregnancy Prediction Using the In Vitro Fertilization Treatment

  Citation: 19

  Authors: Robert, Anna Justyna, Teresa, Allen