Network Modeling Analysis in Health Informatics and Bioinformatics

Aims & Scope

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 .

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	2
2024	2.00

SJR (SCImago Journal Rank)

Year	Value
2024	0.401

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	28

Journal Rank

Year	Value
2024	13766

Journal Citation Indicator

Year	Value
2024	417

---

---

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
• Embase

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering, Mathematics and Medicine, 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.

• A review of automatic selection methods for machine learning algorithms and hyper-parameter values

  Citation: 254

  Authors: Gang

• Telehealth and the digital divide as a social determinant of health during the COVID-19 pandemic

  Citation: 105

  Authors: Camille A.

• 3D mathematical modeling of calcium signaling in Alzheimer’s disease

  Citation: 79

  Authors: Devanshi D., Brajesh Kumar

• A comparative study of features selection for skin lesion detection from dermoscopic images

  Citation: 73

  Authors: Rabia, Mohd Shafry Mohd, Tanzila, Amjad

• Performance evaluation of classification methods with PCA and PSO for diabetes

  Citation: 61

  Authors: Dilip Kumar, Prabhat, Sudhakar, Santosh

• Role of bioinformatics and pharmacogenomics in drug discovery and development process

  Citation: 60

  Authors: Pramod

• DeepLNC, a long non-coding RNA prediction tool using deep neural network

  Citation: 58

  Authors: Rashmi, Sunil, Vandana, Pavan, Pritish Kumar

• Threshold-based feature selection techniques for high-dimensional bioinformatics data

  Citation: 55

  Authors: Jason, Taghi M., Amri, Randall

• Classification of microarray cancer data using ensemble approach

  Citation: 53

  Authors: Sajid, Dhruba Kr.

• Directive clustering contrast-based multi-modality medical image fusion for smart healthcare system

  Citation: 51

  Authors: Manoj, Prabhishek, Achyut, Soumya Ranjan, Janmenjoy, S., Ravinder, Dilip

---