Connection Science

Aims & Scope

Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing.

A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.

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

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, 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, 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 2,195.00 USD. 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.

• Catastrophic Forgetting, Rehearsal and Pseudorehearsal

  Citation: 514

  Authors: ANTHONY

• Developmental robotics: a survey

  Citation: 406

  Authors: Max, Giorgio, Rolf, Giulio

• Error Correlation and Error Reduction in Ensemble Classifiers

  Citation: 384

  Authors: KAGAN, JOYDEEP

• On Combining Artificial Neural Nets

  Citation: 298

  Authors: AMANDA J. C

• Using Relevance to Reduce Network Size Automatically

  Citation: 268

  Authors: MICHAEL C., PAUL

• How to do the Right Thing

  Citation: 238

  Authors: PATTIE

• Actively Searching for an Effective Neural Network Ensemble

  Citation: 233

  Authors: David W, Jude W

• Dynamic Node Creation in Backpropagation Networks

  Citation: 232

  Authors: TIMUR

• Resonance and the Perception of Musical Meter

  Citation: 225

  Authors: EDWARD W., JOHN F.

• Experimental Analysis of the Real-time Recurrent Learning Algorithm

  Citation: 210

  Authors: RONALD J., DAVID