@article{article_1654866, title={Advancing Trends in Electroencephalography Monitoring in Anesthesia: A Bibliometric Analysis from 1980 to 2024}, journal={Hitit Medical Journal}, volume={7}, pages={442–452}, year={2025}, DOI={10.52827/hititmedj.1654866}, author={Çam, Bülent Meriç and Tüzen, Ahmet Salih and Kahveci, Mürsel and Akdoğan, Muhammet Aydın}, keywords={Elektroansefalografi, Elektroensefalogram, Anestezi, Bibliyometrik analiz}, abstract={This study examines research trends, productivity, and global academic collaborations related to electroencephalography (EEG) monitoring in anesthesia management. Articles published between 1980 and 2024 were analyzed using bibliometric methods in the Web of Science database. A total of 3,371 articles were identified, with anesthesiology, neuroscience, and clinical neurology being the most active areas. The United States (865 articles) and Germany (433 articles) were the leading contributors. The number of articles strongly correlated with economic indicators such as Gross Domestic Product-Purchasing Power Parity (GDP-PPP) (r=0.885, p <0.001). EEG monitoring has become a multidisciplinary field with high citation rates in anesthesiology and neuroscience journals. Key research topics include the bispectral index (BIS), Narcotrend index, entropy-based EEG analyses, and personalized anesthesia management. Developed countries drive innovation in this field, while equipment costs, technological requirements, and data interpretation complexity remain major barriers to widespread adoption of EEG-based anesthesia monitoring.}, number={3}, publisher={Hitit Üniversitesi}