Journal of Membrane Computing

Aims & Scope

The Journal of Membrane Computing (JMC) provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of membrane computing: theories, interdisciplinary areas, applications, and implementations.

JMC welcomes high-quality submissions that contribute to the full range of membrane computing research, from cell-like P systems, tissue P systems, spiking neural P systems, and other types of P systems, to membrane algorithms, computational complexity, interdisciplinary research combining membrane computing and evolutionary computing and neural networks and DNA computing and DNA storage, to applications like optimization and biosystem modeling, and membrane computing implementations with nanotechnology.

This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to spur on the advancement of an interdisciplinary community that is interested in biologically inspired computational intelligence.

Accordingly, the Journal of Membrane Computing editorial board represents experts in a range of fields, including theoretical computer science, engineering, mathematics, and nanotechnology.

The journal publishes original, high-quality and previously unpublished research papers, survey and review articles, short communications, and tutorial papers.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.9
2024	1.90

SJR (SCImago Journal Rank)

Year	Value
2024	0.621

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	20

Journal Rank

Year	Value
2024	9332

Journal Citation Indicator

Year	Value
2024	171

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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 Computer Science and Mathematics, 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.

• Hyperparameter optimization in learning systems

  Citation: 118

  Authors: Răzvan

• Membrane computing and image processing: a short survey

  Citation: 80

  Authors: Daniel, Miguel A., Hong

• A survey of gene regulatory networks modelling methods: from differential equations, to Boolean and qualitative bioinspired models

  Citation: 66

  Authors: Roberto, Roberta, Paolo, Lucia

• P systems attacking hard problems beyond NP: a survey

  Citation: 53

  Authors: Petr

• An improved universal spiking neural P system with generalized use of rules

  Citation: 45

  Authors: Yun, Yansen, Fen

• Homogeneous spiking neural P systems with structural plasticity

  Citation: 43

  Authors: Ren Tristan A., Francis George C., Ivan Cedric H., Henry N., Xiangxiang

• A formal framework for spiking neural P systems

  Citation: 40

  Authors: Sergey, Rudolf, Artiom, Sergiu, Linqiang

• Membrane computing models and robot controller design, current results and challenges

  Citation: 39

  Authors: Cătălin, Andrei George

• ConvSNP: a deep learning model embedded with SNP-like neurons

  Citation: 38

  Authors: Shuwei, Li, Zhicai, Hong, Jun

• Generating context-free languages using spiking neural P systems with structural plasticity

  Citation: 33

  Authors: Ren Tristan A., Francis George, Henry N.

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