Computers in Biology and Medicine Elsevier - Impact Factor

Computers in Biology and Medicine - Elsevier | 2024 Impact Factor:6.3 | Cite Score:13.0 | Q1

Computers in Biology and Medicine Journal

Impact Factor and Journal Rank of Computers in Biology and Medicine

About: Computers in Biology and Medicine is a peer-reviewed journal published by Elsevier. It focuses on the application of computational methods and technologies in the fields of biology and medicine. The journal provides a platform for researchers, practitioners, and professionals to share their latest findings and innovations in computational biology and medical informatics.
Objective The primary objective of Computers in Biology and Medicine is to promote the dissemination of cutting-edge research that contributes to the advancement of computational biology and medical informatics. The journal aims to facilitate collaboration among researchers from diverse disciplines and promote the use of computational approaches to address biological and medical challenges.
Interdisciplinary Focus Computers in Biology and Medicine adopts an interdisciplinary approach, welcoming contributions from various fields related to biology, medicine, and computer science, including but not limited to, Bioinformatics, Medical Imaging, Computational Biology, Biomedical Engineering, Health Informatics, Artificial Intelligence, Machine Learning and Data Science. This interdisciplinary perspective encourages the integration of computational methodologies with biological and medical research, leading to innovative solutions and a deeper understanding of complex biological and medical phenomena.
Global Reach and Impact The journal has a broad international readership and authorship, reflecting its global reach and impact. By publishing research from around the world, Computers in Biology and Medicine contributes to the dissemination of knowledge and advancements in computational biology and medical informatics. The journal content influences both academic research and practical applications, driving progress in biology, medicine, and healthcare globally.
High Standards and Rigorous Review Computers in Biology and Medicine maintains high academic standards through a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the relevant fields to ensure the quality, originality, and scientific significance of the research. This rigorous review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
Significance The significance of Computers in Biology and Medicine lies in its role as a leading publication in the intersection of computational methods and biology/medicine. The journal contributions help shape the future of computational biology and medical informatics by disseminating innovative research and fostering collaboration among researchers, practitioners, and professionals. Computers in Biology and Medicine serves as an essential resource for advancing knowledge and technology in computational biology and medical informatics, driving innovation and progress in biological and medical research.

Journal Home: Journal Homepage

Editor-in-Chief: Huiling Chen

Scope: The Computers in Biology and Medicine Journal, published by Elsevier, is a reputable peer-reviewed journal that focuses on the intersection of computer science and biomedical research. It covers a wide range of topics related to the application of computational methods in biology and medicine. Here is an overview of its key focus areas and scope:
1. Bioinformatics and Computational Biology:
Research on computational methods, algorithms, and software tools for analyzing biological data, including genomics, proteomics, and transcriptomics.
Studies on sequence analysis, structural bioinformatics, and systems biology modeling.
2. Medical Imaging and Image Processing:
Topics covering the development and application of computational techniques for medical image analysis, segmentation, registration, and visualization.
Research on machine learning, deep learning, and artificial intelligence in medical imaging.
3. Biomedical Signal Processing:
Studies on the processing, analysis, and interpretation of biomedical signals, including electrocardiography (ECG), electromyography (EMG), and electroencephalography (EEG).
Research on feature extraction, pattern recognition, and signal classification techniques.
4. Healthcare Informatics:
Research on the application of information technology in healthcare systems, including electronic health records (EHR), clinical decision support systems, and telemedicine.
Topics on healthcare data analytics, health information exchange, and patient monitoring technologies.
5. Computational Modeling in Medicine:
Development and validation of computational models to simulate physiological processes, disease progression, and treatment outcomes.
Research on personalized medicine, pharmacokinetic modeling, and predictive modeling in healthcare.
6. Biomedical Data Mining and Knowledge Discovery:
Studies on data mining techniques, machine learning algorithms, and statistical methods for discovering patterns and insights from biomedical data.
Research on biomarker discovery, disease prediction, and drug discovery.
7. Computational Genomics and Proteomics:
Research on computational methods for analyzing genomic and proteomic data, including gene expression analysis, protein structure prediction, and protein-protein interaction networks.
Topics on comparative genomics, evolutionary genomics, and functional genomics.
8. Computational Neuroscience:
Studies on computational models of neural systems, brain imaging analysis, and neural signal processing.
Research on understanding brain function, neurological disorders, and brain-computer interfaces.
9. Wearable and Implantable Technologies:
Topics covering wearable sensors, implantable devices, and mobile health applications for monitoring and managing health.