Datasets
Standard Dataset
data base NIS
- Citation Author(s):
- Submitted by:
- Alberto Leon Ba...
- Last updated:
- Wed, 03/26/2025 - 12:16
- DOI:
- 10.21227/bwg2-ss53
- Data Format:
- License:
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Abstract
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.
A bibliometric study was conducted using the Web of Science (WoS) and Scopus databases to analyze scientific production in the field of negative imaginary systems control theory. The selection of these platforms is based on their international prestige, their broad coverage of high quality scientific literature and their ability to provide detailed data on trends, impact and distribution of academic publications. Scopus stands out for including a greater number of conference proceedings and technical papers, while WoS is characterized by a higher level of selection and curation, ensuring a high academic impact of the indexed documents. This approach allows us to identify significant patterns and differences in the dissemination of research, providing a clear picture of the dynamics of publication in this field.
We included papers published between 2004 and 2024 that were classified as articles, reviews or conference proceedings, and were relevant to control theory in negative imaginary systems. These papers are selected for their academic rigor and their ability to provide detailed analysis. Duplicate papers, papers with insufficient information, editorials and abstracts were excluded. A total of 232 relevant papers were selected from Web of Science, while 354 relevant papers were selected from Scopus.
