Bulletin of the Transilvania University of Brasov, Series III: Mathematics, Informatics, Physics

Aims & Scope

Bulletin of the Transilvania University of Braşov – Series III Mathematics, Informatics, Physics publishes high quality original research papers and survey articles in areas of pure and applied mathematics in informatics and physics.

All the papers will be refereed.

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.

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.

• Multiset ideal topological spaces and Kuratowski closure operator

  Citation: 5

  Authors: Karishma, Binod Chandra

• Metrizability of multiset topological spaces

  Citation: 5

  Authors: Karishma, Binod Chandra

• Some Grüss type inequalities involving generalized fractional operator

  Citation: 4

  Authors: Sunil, Ekta, Rupakshi M., Sunil D.

• Some results on Lorentzian para-Kenmotsu manifolds

  Citation: 4

  Authors: Haseeb, Rajendra

• Legendre curves on Lorentzian Heisenberg space

  Citation: 4

  Authors: Lakehal, Mansour, Hichem

• A new class of metrics on the cotangent bundle

  Citation: 3

  Authors: Abderrahim

• Customer churn predictive modeling by classification methods

  Citation: 3

  Authors: Oleksandr, Liudmyla, Lyudmyla, Iryna

• On the geometry of the tangent bundle with vertical rescaled generalized Cheeger-Gromoll metric

  Citation: 3

  Authors: Lakeha, Hichem, Feth

• Triple positive solutions for a class of boundary value problems with integral boundary conditions

  Citation: 3

  Authors: Slimane, Noureddine, Habib

• High performance computing for machine learning

  Citation: 3

  Authors: Arpad