data base NIS

This study analyzes the scientific production related to the theory of control in negative imaginary systems (NIS) through a bibliometric analysis in the Web of Science and Scopus databases. The main purpose is to assess research output, identify key trends, and map the research landscape in NIS. The significance of this analysis is rooted in the ability of NIS theory to improve the robust control of resonant and dynamic systems, making it applicable across various engineering disciplines.The methodology involves specific search configurations,data collection and unification (2004–2024), and cleaning and preprocessing processes. A classification algorithm is implemented to compare and detect duplicate titles between both scientific databases, followed by a quantitative analysis and visualization of results. Finally, the results are mapped and interpreted to identify key trends and patterns in the emerging areas of NIS. Results indicate significant growth in scientific production, with applications ranging from nanotechnology to robotics. Advances in the characterization and robustness of NIS,  and data-driven control synthesis methods have progressively paved the way in the adoption of NIS as a solid theory in the control system arena. Recent extensions of the theory to nonlinear systems underline its versatility and continuous relevance in the control of complex systems.This bibliometric analysis provides a deep understanding of the trends and emerging applications in the theory of NIS. It highlights its importance in control engineering and its ability to offer innovative and efficient solutions compared to traditional counterparts.