Neuroinformatics - Springer Nature - Impact Factor

Neuroinformatics - Springer Nature | 2024 Impact Factor:3.1 | Cite Score:6.7 | Q1

Impact Factor and Journal Rank of Neuroinformatics

About: Neuroinformatics is a peer-reviewed journal that publishes original articles and reviews emphasizing data structure and software tools relevant to the analysis, modeling, integration, and sharing of neuroscience research. The journal serves as a vital platform for researchers and practitioners to contribute to advancements in neuroinformatics, promoting the principles of data and tool sharing across the field.
Significance:
Advancing Neuroscience Research: Neuroinformatics plays a crucial role in advancing neuroscience research by focusing on the development and application of data structures and software tools. These tools facilitate the analysis, modeling, integration, and sharing of complex neuroscientific data, promoting collaboration and accelerating discoveries.
Comprehensive Coverage: The journal covers a wide range of topics including theory and methodology (ontologies, modeling approaches, database design), descriptions of databases and software tools, experimental results accompanied by data sets, computational simulations, and neuroengineering approaches (hardware, robotics, information theory). This comprehensive coverage ensures that Neuroinformatics remains at the forefront of technological and methodological advancements in neuroscience.
Promoting Data Sharing: Neuroinformatics fosters a commitment to the principles of tool and data sharing, facilitating reproducibility and transparency in neuroscience research. The journal encourages independent tests and evaluations of neuroscience databases and software tools, enhancing their reliability and usability across the scientific community.
Submission Guidelines:
Types of Contributions: Neuroinformatics welcomes original articles and reviews that contribute to the development or application of data structures and software tools in neuroscience. Manuscripts may focus on theoretical discussions, descriptions of databases and software tools, experimental results with data sets, computational simulations, or neuroengineering approaches.
Data and Software Sharing: Authors are encouraged to provide detailed descriptions of developed databases and software tools, along with methods for their distribution. The journal emphasizes the importance of open access to data and software, supporting reproducibility and collaborative research.
Impact and Contributions:
Neuroinformatics plays a pivotal role in enhancing the accessibility, efficiency, and collaborative potential of neuroscience research. By focusing on data structure and software tools, the journal facilitates advancements in understanding complex brain functions and disorders. It promotes interdisciplinary collaboration and innovation, driving progress in neuroinformatics and its applications in both basic and clinical neuroscience.

Journal Home: Journal Homepage

Editor-in-Chief: John D. Van Horn

Scope: The Neuroinformatics Journal is a peer-reviewed publication dedicated to advancing neuroscience research through the development and application of data structures and software tools. The journal emphasizes the integration, modeling, analysis, and sharing of complex neuroscience data across various domains. It serves as a platform for researchers to contribute original articles and reviews that enhance understanding and collaboration in the field of neuroinformatics.
Topics Covered:
Theory and Methodology: Discussions on ontologies, modeling approaches, database design, and meta-analyses relevant to neuroscience research.
Database and Software Tools: Descriptions of developed databases, software tools, and methods for their distribution, including independent tests and evaluations.
Experimental Results: Reports accompanied by the release of large-scale datasets, facilitating reproducibility and data sharing in neuroscience.
Computational Simulations: Modeling and simulation of complex data to integrate and organize neuroscientific information.
Neuroengineering Approaches: Studies encompassing hardware, robotics, and information theory in neuroscience applications.