Background: We previously conducted bibliometric analysis of 6 North American neurosurgical journals.
Objective: To perform a bibliometric analysis of 6 European neurosurgical journals to build on our previous studies.
Methods: We searched Web of Science for articles published in , , , , , and between 2011 and 2020. We analyzed bibliometric parameters related to total annual document distribution, author metrics, journal metrics, country and continental distribution, institution, keywords, and journal impact.
Results: European countries provided the greatest contributions. followed by published the greatest number of articles and had the highest h-index and number of citations. From 2018 to 2020, total documents increased 79.6%, original articles increased 86.5%, review articles increased 103.6%, citations increased 79.6%, number of publishing authors increased 72.1%, number of authors in multi-author documents increased 72.4%, and author's keywords and keywords plus increased 72.4% and 27.0%, respectively. The collaboration index decreased 5.3% from 4.49 to 4.25. Annual published documents and citations were lower for European journals versus North American journals.
Conclusion: Several parameters of the European journals increased by 2020. One interesting finding is that growth for the 6 journals dramatically increased in the 2 years prior to the COVID-19 pandemic. While neurosurgeon free time during lockdowns may account for much of the increase in 2020, the trend began before this. Our analysis did not identify a cause for the pre-COVID increases.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082659 | PMC |
| http://dx.doi.org/10.5455/aim.2023.31.9-19 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Artificial intelligence and network science as tools to illustrate academic research evolution in interdisciplinary fields: The case of Italian design.
PLoS One
January 2025
Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi, Università di Genova, Genova, Italy.
In this paper, we explore the application of Artificial Intelligence and network science methodologies in characterizing interdisciplinary disciplines, with a specific focus on the field of Italian design, taken as a paradigmatic example. Exploratory data analysis and the study of academic collaboration networks highlight how the field is evolving towards increased collaboration. Text analysis and semantic topic modelling identified the evolution of research interest over time, defining a ranking of pairs of keywords and three prominent research topics: User-Centric Experience Design, Innovative Product Design and Sustainable Service Design.
View Article and Find Full Text PDFMapping Global Nursing Literature on Enhancing Recovery After Surgery Programs: A Bibliometric Analysis.
J Perianesth Nurs
January 2025
Surgical Nursing Department, Faculty of Health Sciences, Bahcesehir University, Istanbul, Turkey.
Purpose: To provide a structured macroscopic overview of the characteristics and advances in research related to the Enhancing Recovery after Surgery (ERAS) protocol.
Design: A bibliometric analysis.
Methods: Web of Science was selected as the search engine for the bibliometric analysis study, and data up to January 25, 2024 were included in the scan.
Wine Consumer Studies: Current Status and Future Agendas.
F1000Res
January 2025
Operations Management, T A Pai Management Institute, Manipal Academy of Higher Education, Manipal, India, 576104, Manipal, Karnataka, 576104, India.
Background: As wine has become more than just a drink, exploring wine consumer studies provides a better understanding of various factors that shape the wine industry. Therefore, this paper aims to review and map the landscape of wine consumer literature using bibliometric analysis and systematic review. It identifies the key areas, clusters, antecedents, mediators, moderators, and outcomes to propose the framework for future research directions.
View Article and Find Full Text PDFThe Landscape of Experimental Cardiac Arrest Research Models in Rats: A Bibliometric Analysis of the 100 Most Cited Articles.
Clin Exp Emerg Med
January 2025
Department of Emergency Medicine, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41500, Viopolis, Larissa, Greece.
This study aimed to conduct a bibliometric analysis of the 100 most cited articles on experimental cardiac arrest models in rats, identifying key contributors, publication trends, research themes, and collaboration networks. A comprehensive literature search was performed on the Web of Science (WoS) database on June 11, 2024, using keywords related to cardiac arrest and rat models. The top 100 most cited articles were analyzed using the Biblioshiny web application from the Bibliometrix R package (version 4.
View Article and Find Full Text PDFBibliometric Analysis of Nontuberculous Mycobacteria Research in South Korea.
Tuberc Respir Dis (Seoul)
January 2025
Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Background: Current research on nontuberculous mycobacteria (NTM) is multidisciplinary; thus, proper organization is necessary to obtain comprehensive insights. Therefore, a bibliometric analysis was performed to identify NTM research characteristics in South Korea.
Methods: The Web of Science was searched for NTM articles authored by Koreans at Korean institutions until March 2023.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!