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Network Modeling Analysis in Health Informatics and Bioinformatics - Springer | 2024 Impact Factor: 2.0 | Cite Score: 4.9 | Q3

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Network Modeling Analysis in Health Informatics and Bioinformatics - Springer | 2024 Impact Factor: 2.0 | Cite Score: 4.9 | Q3

  • About this Journal:
  • Network Modeling Analysis in Health Informatics and Bioinformatics is a peer-reviewed interdisciplinary journal focusing on the application of modeling, simulation, and network-based methods in health informatics and bioinformatics.NetMAHIB publishes original research articles and reviews reporting how graph theory, statistics, linear algebra and machine learning techniques can be effectively used for modelling and analysis in health informatics and bioinformatics. It aims at creating a synergy between these disciplines by providing a forum for disseminating the latest developments and research findings; hence, results can be shared with readers across institutions, governments, researchers, students, and the industry. The journal emphasizes fundamental contributions on new methodologies, discoveries and techniques that have general applicability and which form the basis for network based modelling, knowledge discovery, knowledge sharing and decision support to the benefit of patients, healthcare professionals and society in traditional and advanced emerging settings, including eHealth and mHealth .
  • The journal provides a platform for research that integrates computational modeling with biological, medical, and healthcare systems.
  • It publishes original research articles, reviews, and methodological papers that advance computational techniques for understanding biomedical and health-related data.
  • Published by Springer, the journal encourages contributions from computer science, bioinformatics, systems biology, public health, mathematics, and engineering.

  • Editor-in-Chief:  Reda Alhajj PhD, MSc, BSc

  • Scope of the Journal:
  • Network modeling and simulation in biological, clinical, and health systems.
  • Computational approaches to genomics, proteomics, metabolomics, and systems biology.
  • Modeling and analysis of disease spread, epidemiological networks, and public health data.
  • Healthcare data analytics, decision support systems, and predictive modeling.
  • Mathematical and computational models for biological pathways and interactions.
  • Algorithms, graph theory, and machine learning techniques applied to biomedical networks.
  • Applications of AI/ML in health informatics and personalized medicine.
  • Model-based approaches for drug discovery, diagnostics, and treatment optimization.
  • Latest Research Topics for PhD in Computer Science
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  • Latest Research Topics for PhD in Machine Learning
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  • Latest Research Topics for PhD in Artificial Intelligence
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  • Print ISSN:  21926662

    Electronic ISSN:  21926670

  • Abstracting and Indexing:  SCOPUS, Emerging Sources Citation Index

  • Imapct Factor 2024:  2.0

  • Subject Area and Category:  Computer Networks and Communications, Computer Science Applications

  • Publication Frequency:  

  • H Index:  28

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Computer Networks and Communications

    Q4:  

  • Cite Score:  4.9

  • SNIP:  0.708

  • Journal Rank(SJR):  0.401