Bio-Algorithms and Med-Systems

Aims & Scope

The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that allows the progress in collaborations between medicine, informatics, physics, and biochemistry.

Projects linking specialists representing these disciplines are welcome to be published in this Journal.

Articles in BAMS are published in English.

Topics Bioinformatics Systems biology Telemedicine E-Learning in Medicine Patient's electronic record Image processing Medical databases.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.3

SJR (SCImago Journal Rank)

Year	Value
2024	0.307

Quartile

Year	Value
2024	Q3

Journal Rank

Year	Value
2024	16419

Journal Citation Indicator

Year	Value
2024	95

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Abstracting & Indexing

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

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology, Computer Science and Medicine, designed to support cutting-edge academic discovery.

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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.

• Neural networks as a tool for modeling of biological systems

  Citation: 42

  Authors: Ryszard

• Biomaterials for hip implants – important considerations relating to the choice of materials

  Citation: 35

  Authors: Mieczysław, Mieczysław Rorbert, Stanisław Jan

• A novel method based solely on field programmable gate array (FPGA) units enabling measurement of time and charge of analog signals in positron emission tomography (PET)

  Citation: 30

  Authors: Marek, Paweł, Tomasz, Piotr, Eryk, Łukasz, Andrzej, Grzegorz, Jakub, Paweł, Tomasz, Wojciech, Marcin, Szymon, Monika, Lech, Zbigniew, Piotr, Neha, Michał, Artur, Jerzy, Adam, Wojciech, Marcin, Natalia

• Computational gait analysis using fuzzy logic for everyday clinical purposes – preliminary findings

  Citation: 28

  Authors: Emilia, Piotr, Dariusz

• Plastic scintillators for positron emission tomography obtained by the bulk polymerization method

  Citation: 23

  Authors: Łukasz, Andrzej, Marcin, Paweł, Anna, Tomasz, Piotr, Eryk, Grzegorz, Jakub, Paweł, Tomasz, Wojciech, Szymon, Marek, Monika, Lech, Zbigniew, Piotr, Neha, Michał, Artur, Jerzy, Adam, Wojciech, Marcin, Natalia

• Trigger-less and reconfigurable data acquisition system for positron emission tomography

  Citation: 19

  Authors: Grzegorz, Paweł, Tomasz, Piotr, Eryk, Łukasz, Andrzej, Jakub, Paweł, Tomasz, Wojciech, Marcin, Szymon, Marek, Monika, Lech, Zbigniew, Piotr, Neha, Michał, Artur, Jerzy, Adam, Wojciech, Marcin, Natalia

• An intelligible deep convolution neural network based approach for classification of diabetic retinopathy

  Citation: 16

  Authors: Sunil, Saumil, Anupam

• Bio-algorithms for the modeling and simulation of cancer cells and the immune response

  Citation: 16

  Authors: Muhammad, Ayesha

• Depth map color constancy

  Citation: 15

  Authors: Marc, Johannes

• Measurement of Hydrophobicity Distribution in Proteins - Non-redundant Protein Data Bank

  Citation: 15

  Authors: Kinga, Barbara, Tomasz, Irena

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