Artificial Intelligence (AI) is a rapidly developing field of research that attracts significant funding from both the state and industry players. Such interest is driven by a wide range of AI... Show moreArtificial Intelligence (AI) is a rapidly developing field of research that attracts significant funding from both the state and industry players. Such interest is driven by a wide range of AI technology applications in many fields. Since many AI research topics relate to computer science, where a significant share of research results are published in conference proceedings, the same applies to AI. The world leaders in artificial intelligence research are China and the United States. The authors conducted a comparative analysis of the bibliometric indicators of AI conference papers from these two countries based on Scopus data. The analysis aimed to identify conferences that receive above-average citation rates and suggest publication strategies for authors from these countries to participate in conferences that are likely to provide better dissemination of their research results. The results showed that, although Chinese researchers publish more AI papers than those from the United States, US conference papers are cited more frequently. The authors also conducted a correlation analysis of the MNCS index, which revealed no high correlation between MNCS USA vs. MNCS China, MNCS China/MNCS USA vs. MSAR, and MNCS China/MNCS USA vs. CORE ranking indicators. Show less
This dissertation offers an in-depth evaluation of the Brazilian National System of Graduate Education (SNPG), overseen by the Brazilian Agency for Support and Evaluation of Graduate Education ... Show moreThis dissertation offers an in-depth evaluation of the Brazilian National System of Graduate Education (SNPG), overseen by the Brazilian Agency for Support and Evaluation of Graduate Education (CAPES). Anchored at the crossroads of research evaluation, scientometrics, and science policy, the study employs a multi-faceted methodology to dissect the complex dynamics between evaluation mechanisms, academic productivity, societal influence, and policy repercussions in Brazil.Organised into four parts, the study opens by tracing the historical evolution of graduate education and its evaluative mechanisms in Brazil. The following section introduces an international perspective to the country's research system and its evaluation, including a comparative analysis with the evaluation model practiced in The Netherlands. The third part adopts a mixed-methods analysis to examine fundamental evaluative instruments in the Brazilian context, notably those pertaining to scholarly publication metrics. The final part confronts the challenges precipitated by the SNPG's rapid expansion and advocates for self-assessment approaches as a means to integrate a more multi-dimensional evaluation framework.In its conclusion, the research cautions that Brazil's performance-oriented evaluation model, while fostering scientific development, may inadvertently stifle innovation and diversity. The author argues in favor of revising existing paradigms to adopt a more context-sensitive and holistic evaluative approach. Show less
