Producción Científica

 

 

Background: Ocular cancer represents a significant threat to vision and life among various eye diseases. Conjunctival melanoma is regarded as one of the most feared and unpredictable ocular tumors. Considering the global differences in the occurrence of ocular melanoma across different races and regions, this study provides a thorough examination of the current state of research pertaining to the epidemiology of ocular and conjunctival cancers. Methods: This bibliometrics analysis used the Web of Science Core Collection (WoSCC) to collect data from publications on the epidemiology of ocular cancer, including relevant literature from 1951 to 2024. We examined indicators including t publication counts, citation rates, and data on contributing countries, institutions, and journals. Use VOSviewer and CiteSpace for network visualization and Microsoft Excel for data management. Our analysis reveals key trends in the epidemiology of ocular cancer across countries and identifies prominent keywords. Results: A total of 406 articles on ocular cancer were identified, with significant contributions from the United States, the United Kingdom, and Germany. Denmark also plays a crucial role, particularly in conjunctival cancer research. Carol L. Shields is a leading figure widely recognized for her influential citations in ocular cancer epidemiology. The top publication platforms include the British Journal of Ophthalmology, Ophthalmic Epidemiology, and Ophthalmology. Key terms in ocular cancer research focus on prevalence, survival, and epidemiology, while conjunctival cancer studies emphasize malignant melanoma, conjunctiva, and epidemiology. Through keyword co-occurrence and burst analysis, trending topics include prevalence, risk factors, uveal melanoma, choroidal melanoma, malignant melanoma, squamous cell carcinoma, and conjunctiva. For conjunctival cancer, key research areas expected to remain prominent are cell carcinoma, management, recurrence, ocular surface squamous neoplasia, and pathology. Conclusions: This analysis represents the first comprehensive bibliometric review mapping the trends and the knowledge structure in ocular cancer research, specifically from an epidemiological viewpoint. The results meticulously explore and encapsulate the research frontiers for scholars dedicated to the epidemiology of conjunctival cancer.

 

 

Green innovation (GI) has attracted growing interest in academia, society and business due to its importance for environmental protection, quality of life, environmentally friendly products and economic results, especially among small and medium-sized enterprises (SMEs). Consequently, given the vast literature, a bibliometric analysis of GI in SMEs is presented to evaluate their conceptual structure using Scopus and Web of Science databases through performance and bibliometric mapping with VOSviewer and R software. The results show that this topic is a growing area of research, with 496 articles developed by 1373 authors, 218 journals and 63 countries. The structure shows that the main research topics relate to sustainable business development, green business transformation, sustainable business innovation and performance, sustainable production, barriers, drivers and outcomes, eco-innovation and sustainability, and innovation and knowledge management. This work offers updated and exhaustive information on advances in this field that serve as a guide for SMEs to make informed decisions about innovation strategies, as well as more effective practices and lessons learned from other similar companies. In turn, governments can take these results and design policies and programs to support GI. Finally, this article highlights gaps in the literature that suggest possible avenues for follow-up studies.

 

 

Silicon (Si) is a promising anode material for the next generation of lithium-ion batteries (LiBs) due to its high theoretical capacity. However, Si undergoes a significant volumetric expansion during lithiation, leading to cracking, pulverization, and poor long-term electrochemical performance. To tackle these challenges, numerous strategies have been proposed, resulting in a rapidly expanding and diverse field of research. Despite this surge in Si-related studies, a comprehensive quantitative analysis of the literature on Si anode applications in LiBs has not been thoroughly examined yet. This study aims to bridge this gap through a bibliometric analysis with the objective of providing insights into key research themes, trends over time, emerging topics, and future research directions. Furthermore, it highlights prolific authors, organizations, countries, and foundational works in this area, offering a valuable reference for inclined researchers. For this purpose, a dataset of 4508 publications from 1970 to 2024 was retrieved from the Web of Science and analyzed to identify trends in leading journals, publication outputs, disciplines, and collaborations. The analysis shows that 2005–2014 was a “golden period” of substantial innovation, while more recent work reflects incremental yet interdisciplinary advancements. Notably, the collaboration network among prolific authors was found to be relatively weak, with the majority of the authors having only two or fewer connections. In contrast, strong collaboration was observed among leading institutions in the field. A thorough keyword analysis revealed that the research focus over the years can be categorized into three main themes: (1) electrochemical performance, (2) nanostructures and composite electrodes, and (3) electrochemical processes and mechanisms. Additionally, recently emerging topics include understanding the mechanisms of Si anodes and improving their performance through novel binders, pre-lithiation strategies, and advanced electrolytes. This study quantitatively analyzes for the first time the development of Si anodes for LiBs, offering an invaluable reference for researchers looking to engage in and contribute to this field.

 

 

Although life cycle assessment (LCA) as a method and framework has been extensively examined in the scientific literature, a new emphasis is put on integrating evolving spatiotemporal conditions of the analysed system, aiming to promote a more robust assessment through dynamic LCA. However, dynamic LCA methodologies remain inconsistent across multiple aspects, including on time-dependency, dynamic parameters, and links with other widely applied tools, such as material stocks and flows analysis or geographic information systems. Focusing on the four main phases of the LCA framework, this work presents a systematic review of the latest scientific literature reporting on prospective LCA modelling of buildings, while covering at least one dynamic parameter, such as the decarbonisation of the energy mix. First, this research presents the bibliometric structure of 64 published documents on the dynamic LCA of buildings, through four network visualisation maps. Then, it identifies a sample of 218 documents through the literature review method, and deeply analyses a sub-sample of 34 documents to systematise the emerging knowledge on dynamism in LCA as applied to buildings. We need a more comprehensive dynamic LCA modelling framework that can assess environmental performance of multiple building types, at a high level of spatial and temporal detail. Such framework should be able to integrate dynamic parameters in a simplified manner, and allow flexible time horizons and spatial scopes. Such framework should be able to quickly provide modelling results that may inform decision-making processes in finding solutions towards the challenges of resource depletion and climate change.

 

 

Background: Numerous studies have shown a link between circadian rhythms disruptions and a higher risk of obesity. This article aims to conduct an extensive bibliometric analysis to deepen our understanding of the relationship between circadian rhythms and obesity. Methods: The literature related to the circadian rhythm of obesity, published from the inception of the Web of Science Core Collection (WoSCC) until June 30, 2024, was extracted from the WoSCC databases (SCIE, SSCI, ESCI). Using CiteSpace, Vosviewer, WPS, and other software, this paper examines the publication trends, including the number of papers, countries/regions, institutions, authors, journals, references, and keywords. Results: A total of 2,870 articles were included in this analysis, revealing a consistent year by year increase in research on the circadian rhythm of obesity. These publications originate from 460 institutions in 88 countries. Among the authors analysis, Garaulet, Marta was the most prolific, and Turek FW was the most co-cited. Proceedings of the National Academy of Sciences of the United States of America emerged as the journal with the highest number of publications, and American Journal of Physiology had the highest centrality. The most frequently used keywords were “obesity,” “circadian rhythm,” “circadian clock,” “metabolic syndrome,” “metabolism.” Additionally, research areas involving intermittent fasting, restricted feeding, and gut microbiota were rapidly developing and represented the forefront of research on circadian rhythms and obesity. Conclusion: Our study demonstrates that research on circadian rhythms in obesity has been rapidly expanding, with increasingly in-depth exploration of the topic. It is recommended to strengthen cooperation between countries and institutions to jointly promote research in this field. The gene expression of obesity is an early hotspot in the study of circadian rhythm and obesity, and emerging research areas such as intermittent fasting, restricted feeding, endothelial nitric oxide synthase and gut microbiota will become significant hotspots and trends in the field of circadian rhythm and obesity. These findings provide researchers critical directions for future studies and may have significant implications for clinical practice and public health policy.

 

 

ChatGPT is a generative artificial intelligence (AI) based chatbot developed by OpenAI and has attracted great attention since its launch in late 2022. This study aims to provide an overview of ChatGPT research through a CiteSpace-based bibliometric analysis. We collected 2465 published articles related to ChatGPT from the Web of Science. The main forces in ChatGPT research were identified by examining productive researchers, institutions, and countries/regions. Moreover, we performed co-authorship network analysis at the levels of author and country/region. Additionally, we conducted a co-citation analysis to identify impactful researchers, journals/sources, and literature in the ChatGPT field and performed a cluster analysis to identify the primary themes in this field. The key findings of this study are as follows. First, we found that the most productive researcher, institution, and country in ChatGPT research are Ishith Seth/Himel Mondal, Stanford University, and the United States, respectively. Second, highly cited researchers in this field are Tiffany H. Kung, Tom Brown, and Malik Sallam. Third, impactable sources/journals in this area are ARXIV, Nature, and Cureus Journal of Medical Science. Fourth, the most impactful work was published by Kung et al., who demonstrated that ChatGPT can potentially support medical education. Fifth, the overall author-based collaboration network consists of several isolated sub-networks, which indicates that the authors work in small groups and lack communication. Sixth, United Kingdom, India, and Spain had a high degree of betweenness centrality, which means that they play significant roles in the country/region-based collaboration network. Seventh, the major themes in the ChatGPT area were “data processing using ChatGPT”, “exploring user behavioral intention of ChatGPT”, and “applying ChatGPT for differential diagnosis”. Overall, we believe that our findings will help scholars and stakeholders understand the academic development of ChatGPT.

 

 

The concept of multi-microgrid (MMG) systems has gained significant research interest due to their enhanced reliability and efficiency compared to individual microgrids. This study uniquely conducts a bibliometric analysis of MMG systems, addressing a critical gap in existing literature, which predominantly focuses on microgrids and smart grids. Using the PRISMA technique, 2,011 documents from the SCOPUS database (2008–2024) were systematically reviewed and analyzed. Visualization tools like VOSviewer and Excel reveal that China and India lead MMG research, with significant contributions in energy management (EM) and control techniques. The study identifies “Energy” as the most-cited domain and highlights “Energies” as the longest-standing journal in the field. Keyword analysis associates MMG with “demand response” and “renewable energy,” emphasizing the need to address uncertainties arising from increasing renewable energy integration. Additionally, the review identifies a focus on distributed generation optimization in MMG planning and frequency control using advanced strategies. By combining bibliometric analysis with a literature survey, this work provides a comprehensive and authoritative contribution, bridging gaps between existing microgrid and MMG studies. It offers valuable guidance for policymakers and researchers, advancing understanding and application of MMG systems to meet future energy challenges.

 

 

As an emerging topic, digital game-based learning holds great significance as it revolutionizes traditional modes of education by harnessing engagement and enhancing learning outcomes. We bibliometrically analyzed the current studies of digital game-based learning, aiming to explore the key topics and domains of the trend that may inspire further research and innovations. This study employed VOSviewer to explore the top ten authors, sources, organizations, and countries and established a citation network using clustering techniques in CitNetExplorer to visualize the results. Based on the research, it is found that motivation maintenance, in-game feedback, and post-game motivation are important factors impacting sustainable digital learning. This study proposes a framework comprising three elements—Preparation, Process, and Settlement—aligned with different stages of digital gaming. By integrating factors affecting learners with gaming elements, the framework aims to enhance the effectiveness and sustainability of digital learning. Future research could involve implementing game designs based on our proposed framework to evaluate its effectiveness. Additionally, there is potential to integrate AI to promote learner experiences and optimize learning outcomes.

 

 

Introduction: Inclusive physical education has gained attention globally due to its importance in fostering equity and participation for all students. However, research on this topic, particularly in secondary schools, remains limited. Objective: This study investigates the field of inclusive physical education in secondary schools using a bibliometric analysis based on data from the Scopus database. Methodology: A total of 129 articles were selected through keyword searches analyzed with the Publish or Perish software to extract relevant data, alongside VOSviewer for visualizing and interpreting results. The findings reveal that research on inclusive physical education in secondary schools remains relatively underexplored, with only 129 publications identified between 2000 and 2024. Results: The analysis uncovered ten primary keyword clusters: including (1) Attitudes, (2) Health, (3) Secondary Schools, (4) Education, (5) Physical Education, (6) Inclusion, (7) Disabilities, (8) Self-efficacy, (9) Participation, and (10) Physical Impairments. These clusters provides a comprehensive overview of the field’s thematic areas and trends. Discussion: The study concludes that significant gaps persist in the literature, emphasizing the need for further exploration to enhance understanding and practice in this field. Conclusions: Recommendations include extending research to inclusive physical education at the elementary level and focusing on methods to improve the skills and participation of children with disabilities within inclusive settings.

 

 

This study presents a comprehensive analysis of the evolution and challenges of Environmental Management Accounting (EMA) adoption across diverse industries and regions over the past two decades. Through a bibliometric analysis, this study categorizes the literature into three distinct periods, each elucidating crucial developments in EMA practices from initial theoretical formulations to their strategic integration with corporate sustainability and circular economy frameworks. The recent period particularly focuses on identifying the multifaceted challenges in EMA adoption, encapsulated in the newly developed “EMA adoption and application issue framework.” This framework not only categorizes but also visually represents systemic barriers such as regulatory constraints, organizational and cultural resistance, economic and technical obstacles, and the influence of external market forces. The analysis reveals significant regional disparities in EMA research, with a notable lack of contribution from European Union countries compared to active regions such as Australia, South Africa, and Southeast Asia, suggesting a critical need for strategic interventions to enhance EMA research and practical implementation in the EU. These findings advocate for more robust regulations, enhanced managerial commitment, and international collaboration to improve EMA adoption rates. This study aims to advance the understanding of EMA’s implementation challenges and foster dialog among academics, policymakers, and practitioners to overcome these barriers and enhance the integration of EMA into sustainability strategies globally.