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Exploring the Frontiers of Mathematical Neuroscience: A Comprehensive Bibliometric Analysis.
Jais Kurian1, Dary John2, Pratheesh Mathew3
1Department of Mathematics, St. Stephen's College, Uzhavoor, Uzhavoor, IND.
Cureus
|November 11, 2024
Summary
Mathematical neuroscience, blending math and brain science, shows a 6.51% annual growth. Key trends include integrating machine learning and artificial intelligence (AI) for deeper brain understanding.
Area of Science:
- Interdisciplinary field combining mathematical modeling, computational techniques, and neuroscience.
- Focuses on understanding brain structure, function, and dynamics.
Background:
- Mathematical neuroscience has seen significant development between 1973 and 2024.
- The field exhibits a consistent annual growth rate of 6.51%.
Purpose of the Study:
- To conduct a comprehensive review of research trends and developments in mathematical neuroscience.
- To analyze publication patterns, co-authorship networks, and thematic evolution.
Main Methods:
- Bibliographic data analysis from sources like Scopus (727 documents reviewed).
- Utilized specific tools for in-depth analysis of publication patterns, co-authorship, keywords, and thematic evolution.
- Identified influential authors, dominant publication sources, and active countries.
Main Results:
- The field is dynamic and collaborative, with significant contributions from 1957 sources.
- Identified key authors, publications, and leading countries in mathematical neuroscience research.
- A major emerging trend is the integration of machine learning and artificial intelligence (AI) with mathematical neuroscience.
Conclusions:
- Mathematical neuroscience research is characterized by dynamic and collaborative features.
- Provides insights into the intellectual landscape and future research directions in the field.
- Highlights the growing importance of AI and machine learning integration.
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