DOEMS-Artículos
URI permanente para esta colecciónhttps://hdl.handle.net/10953/259
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Examinando DOEMS-Artículos por Materia "Bibliometrics"
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Ítem Mapping the Landscape of Quantum Computing and High Performance Computing Research Over the Last Decade(IEEE, 2024-06-07) Garcia-Buendia, Noelia; Muñoz-Montoro, Antonio J.; Cortina, Raquel; Maqueira-Marín, Juan Manuel; Moyano-Fuentes, JoséQuantum Computing (QC) is a rapidly evolving research field that has garnered significant attention due to its potential to revolutionize various domains such as cryptography, optimization, and machine learning. In this article, we conduct an extensive analysis of the evolution of QC research within the realm of High Performance Computing (HPC) over a span of ten years, up to 2023. Through bibliometric analysis and advanced science mapping techniques, we uncover key thematic areas that have emerged in the field, including quantum algorithms, simulation, parallel-computing, deep learning, machine learning, and encryption. This analysis highlights the interdisciplinary nature of QC, which intersects with disciplines such as physics, mathematics, computer science, and materials science. Furthermore, our study elucidates the close relationship between HPC and QC, showcasing how advancements in one field can significantly impact the other. The findings of this study not only provide valuable insights into the past trends and research landscape but also serve as a guide for future research directions, enabling the advancement of knowledge and fostering innovation in computer science. Additionally, our analysis sheds light on the global distribution of research contributions, identifying countries and regions that have made significant strides in QC research, thus presenting potential collaboration opportunities. Overall, this comprehensive study contributes to a deeper understanding of the development of QC within the realm of HPC, offering valuable insights and paving the way for future advancements in this exciting field.Ítem Mapping the Lean Supply Chain Management research through Citation Classics(Emerald, 2021-06-22) Garcia-Buendia, Noelia; Moyano-Fuentes, José; Maqueira-Marín, Juan ManuelPurpose. The purpose of this paper is to systematically identify the key intellectual developments of the Lean Supply Chain Management (LSCM) field from its very first beginning by analyzing the publications that have been highly cited. Design/methodology/approach. The Citation Classics method has been used to examine the origins and evolution of the research field. Seventy-four articles have been identified as having the highest impact on LSCM research published from its beginnings to the present day. Key aspects and links among the scientific contributions are studied by descriptive, bibliometric, network, and content analyses. Findings. Publication and citation trends, methodologies used, top journals, most influential authors, institutions, and countries, collaboration patterns, and evolution of the most used keywords are some of the aspects studied. Three main research areas are identified: (1) LSCM foundations and implementation, (2) Lean-agile supply chain and performance assessment, and (3) The role of sustainability, which offer a holistic view of the field and enable the identification of potential avenues for future research susceptible to contribute to advancing the knowledge on LSCM. Originality. This study provides a useful insight into the development of the LSCM field and can help researchers as it explores the state-of-the-art of LSCM by identifying the most relevant contributions in the area, the main research lines addressed by the scientific community in this topic, and opportunities for further research on LSCM for years to come.