Brain Informatics

Aims & Scope

Brain Informatics is an international, peer-reviewed, interdisciplinary open-access journal published under the brand SpringerOpen, which provides a unique platform for researchers and practitioners to disseminate original research on computational and informatics technologies related to brain.

This journal addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics.

It also welcomes emerging information technologies and advanced neuro-imaging technologies, such as big data analytics and interactive knowledge discovery related to various large-scale brain studies and their applications.

Metrics & Ranking

Abstracting & Indexing

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

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science
• Embase

Subjects & Keywords

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

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science and Neuroscience, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 840.00 EUR. Learn more.

Explore journals without APCs for alternative publishing options.

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.

• Interactive machine learning for health informatics: when do we need the human-in-the-loop?

  Citation: 643

  Authors: Andreas

• Machine learning–XGBoost analysis of language networks to classify patients with epilepsy

  Citation: 401

  Authors: L., M., E., M.

• Identification and classification of brain tumor MRI images with feature extraction using DWT and probabilistic neural network

  Citation: 372

  Authors: N., T. N. R.

• Brain MRI analysis for Alzheimer’s disease diagnosis using an ensemble system of deep convolutional neural networks

  Citation: 341

  Authors: Jyoti, Yanqing

• A review of epileptic seizure detection using machine learning classifiers

  Citation: 329

  Authors: Mohammad Khubeb, Ruben, Xiaodi, Nasir

• Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia

  Citation: 264

  Authors: Manan Binth Taj, Nusrat Zerin, M Shamim, Shamim Al, Mufti

• Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection

  Citation: 137

  Authors: Viswan, Noushath, Mufti

• GAN-based synthetic brain PET image generation

  Citation: 137

  Authors: Jyoti, Yanqing

• Emotion recognition based on EEG features in movie clips with channel selection

  Citation: 111

  Authors: Mehmet Siraç, Hasan

• Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders

  Citation: 106

  Authors: Sidong, Weidong, Siqi, Fan, Michael, Dagan, Sonia, Ron