Acceso usuarios
Liuris Rodríguez Castilla
, Arasay Padrón Alvarez, Manuel de Jesús de la Rúa Batistapau
Doctoral training is a process that prepares professionals with advanced research skills, the main outcome of which is reflected in their doctoral dissertations. For the continuous improvement of these doctoral programs, it is necessary to periodically analyze the scientific output of these dissertations as a result of the process. This evaluation is a key indicator for measuring the quality and relevance of doctoral training programs. Therefore, with over 30 years of history, the doctoral training program of the Center for Reference in Advanced Education (CREA) aims to analyze the evolution, trends, and changes in research over time. Design/Methodology/Approach: A prospective chronological analysis was conducted to describe the behavior of the scientific output of 80 doctoral dissertations between 2000 and 2025 based on ten indicators, applying the bibliometric method with various analysis software. Results/Discussion: The results identified various trends and lines of research that the program and its scientific community are projecting in the research developed by its doctoral students. Conclusion: This result contributes to identifying patterns, lines of work, and transformations that can help understand the dynamics of the program and its social needs for its future development in the country
Abstract: Doctoral training is a process that prepares professionals with advanced research skills, the main outcome of which is reflected in their doctoral dissertations. For the continuous improvement of these doctoral programs, it is necessary to periodically analyze the scientific output of these dissertations as a result of the process. This evaluation is a key indicator for measuring the quality and relevance of doctoral training programs. Therefore, with over 30 years of history, the doctoral training program of the Center for Reference in Advanced Education (CREA) aims to analyze the evolution, trends, and changes in research over time. Design/Methodology/Approach: A prospective chronological analysis was conducted to describe the behavior of the scientific output of 80 doctoral dissertations between 2000 and 2025 based on ten indicators, applying the bibliometric method with various analysis software. Results/Discussion: The results identified various trends and lines of research that the program and its scientific community are projecting in the research developed by its doctoral students. Conclusion: This result contributes to identifying patterns, lines of work, and transformations that can help understand the dynamics of the program and its social needs for its future development in the country.
