Artículo

Twenty Years of Neuroinformatics: A Bibliometric Analysis

Resumen

This study presents a thorough bibliometric analysis of Neuroinformatics over the past 20 years, offering insights into the journal’s evolution at the intersection of neuroscience and computational science. Using advanced tools such as VOS viewer and methodologies like co-citation analysis, bibliographic coupling, and keyword co-occurrence, we examine trends in publication, citation patterns, and the journal’s influence. Our analysis reveals enduring research themes like neuroimaging, data sharing, machine learning, and functional connectivity, which form the core of Neuroinformatics. These themes highlight the journal’s role in addressing key challenges in neuroscience through computational methods. Emerging topics like deep learning, neuron reconstruction, and reproducibility further showcase the journal’s responsiveness to technological advances. We also track the journal’s rising impact, marked by a substantial growth in publications and citations, especially over the last decade. This growth underscores the relevance of computational approaches in neuroscience and the high-quality research the journal attracts. Key bibliometric indicators, such as publication counts, citation analysis, and the h-index, spotlight contributions from leading authors, papers, and institutions worldwide, particularly from the USA, China, and Europe. These metrics provide a clear view of the scientific landscape and collaboration patterns driving progress. This analysis not only celebrates Neuroinformatics’s rich history but also offers strategic insights for future research, ensuring the journal remains a leader in innovation and advances both neuroscience and computational science.
Guillén-Pujadas, Miguel (58090051600); Alaminos, David (57192061042); Vizuete-Luciano, Emilio (55249949600); Merigó, José M (23482135100); Van Horn, John D. (7004432310)
Twenty Years of Neuroinformatics: A Bibliometric Analysis
2025
10.1007/s12021-024-09712-3
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215759651&doi=10.1007%2fs12021-024-09712-3&partnerID=40&md5=05a334d4036152c08bfbbfe7e8c24ff8
Department of Business, University of Barcelona, Av. Diagonal 690, Barcelona, 08034, Spain; School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney, 81 Broadway, Ultimo, NSW, 2007, Australia. Jose.Merigo@uts.edu.au; Department of Psychology, University of Virginia, Charlottesville, 22904, VA, United States; School of Data Science, University of Virginia, Charlottesville, 22904, VA, United States
All Open Access; Hybrid Gold Open Access
Scopus
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