Producción Científica

 

 

Aim. The purpose of the paper is to study the concept of gamification in the field of psychology as a basis for the formation of the results of bibliometric analysis and to identify ways to improve the efficiency of its work. The article is devoted to the bibliometric analysis of the works presented in the Scopus scientometric database and covering the areas of psychology and psycholinguistics in gamification. Methods. The dialectical approach allowed us to formulate philosophical aspects, factors and conditions of gamification in psychology in different areas of activity. It was found that there are practically there are practically no studies describing the use of gamification in psycholinguistics. For the bibliometric analysis, we used The online platform VOSviewer was used to process and summarize the data on gamification in the field of psychology, which are presented in the scientometric database Scopus. Results. The analysis shows the relevance of the chosen research topic, as every year there is a positive trend in the number of published papers: 2012 (n=1), 2013 (n=5), 2014 (n=10), and in 2023 (n=139). The formation of a visualization map by keyword allowed us to identify 7 clusters where the concept of gamification in the field of psychology is most often revealed. By affiliation, most of the papers were published in institutions located in the United States. The bibliometric analysis allowed us to select the TOP-5 authors who currently have the largest number of works on gamification in the field of psychology. Conclusions. It has been proved that bibliometric analysis is an effective tool for conducting a generalized study of published works on a given keyword. For the first time, a bibliometric analysis of scientific papers on the topic of gamification in the field of psychology (n=718), which are presented in the Scopus scientometric database, was carried out.

 

 

Objective: The practice of therapeutic drug monitoring (TDM) is widely used for maximizing the clinical efficacy of antimicrobials. However, a systematic bibliometric analysis providing an overview of this field is lacking at present. The aim of the current study was to identify hotspots and trends in antimicrobial TDM, highlight collaborations and influences among countries, institutions, and journals, and assess the knowledge base for further development of clinical research. Research Design and Methods: Articles and reviews related to TDM of antimicrobials from the Web of Science Core Collection were collected. CiteSpace and VOSviewer, two visualization tools, were utilized to graphically assess the key elements within this domain, including mapping of countries and regions, institutions, keywords, and references associated with the field of antimicrobial TDM. Through this approach, we were able to successfully provide a comprehensive visual overview of the research landscape, highlighting the significant players and thematic trends in the literature. Results: From 2000 to 2023, a total of 17,236 authors from 4,112 institutions in 112 countries/regions published 3,710 papers in 819 academic journals. The United States had the highest number of publications, with University of Queensland identified as the most active institution. The journal with the greatest number of publications was Therapeutic Drug Monitoring, whereas Antimicrobial Agents and Chemotherapy was the most co-cited journal. Current research focuses on pharmacokinetics, pharmacodynamics, vancomycin, posaconazole, invasive fungal infection and critically ill patients. Promising hotspots for future research include vancomycin, voriconazole, meropenem, isavuconazole, posaconazole, and teicoplanin. Moreover, vancomycin and critically ill patients remain a hot topic of future research. Conclusion: Using bibliometric and visualization methods, the research hotspots of antimicrobial drugs in TDM were analyzed. The continued increase in the number of annual publications demonstrates the vital significance of TDM for antimicrobials. Data from this study provide a valuable reference for future research trends in TDM of antimicrobial agents.

 

 

Introduction: Citation analysis studies the use of citations found in various types of publications, including the use of government information, and can provide insight into research utilisation in nursing literature. Method: Using citation analysis, this study examines the use, prevalence and jurisdiction of government information use among seven nursing research journals based on ranking criteria. Government information citations were identified across three types of articles: editorials, reviews and research articles. Results: Nearly two-thirds of the articles in this study cite some form of government information, and the average percentage of government citations is 5.38 of all citations. Government information was identified from national governments, inter-governmental organizations and state and regional governments. Discussion: Understanding the use, prevalence and jurisdiction of government information informs health information professionals allowing them to engage with nursing students and researchers about this important type of information and the types of articles that use government information. Conclusion: Nursing researchers frequently cite government information in their work. This has implications for librarians, nursing researchers and health professionals. Understanding the intersection of government information and nursing research should inform future practice in evidence-based nursing research and nursing education.

 

 

Research Questions/Issue: In this bibliometric review of shareholder activism literature spanning 1983–2021, we pursue two objectives. Firstly, we investigate the degree of interdisciplinarity in the field, and second, we scrutinize publication trends, foundational knowledge, core topics, and emerging thematic trends, exploring the trajectory of shareholder activism research over time and providing a roadmap for future scholars. Research Findings/Insights: Systematic analysis of 1055 scholarly works reveals significant growth and a trend toward interdisciplinarity, though disciplinary silos persist. Shareholder activism is evolving beyond traditional, firm-level financial motivations to include sustainability-oriented goals, blending environmental, and social objectives with corporate governance concerns and financial interests. This shift signals broader engagement by diverse activist actors, strategies, and motivations, with a heightened emphasis on the long-term impact of shareholder activism. To capture this complexity, we advocate for research that emphasizes the intricate interrelationships among actors, objectives, strategies and outcomes, encouraging a redefinition of theoretical and methodological approaches. Theoretical/Academic Implications: Our analysis underscores the need for greater interdisciplinary engagement in shareholder activism research and highlights an expanding scope of topics, regions and theories. With growing scholarly interest in sustainability-oriented shareholder activism, jurisdictional nuances, and the emergence of new activist actors like index funds and individual investors, we anticipate continued theoretical and methodological diversity. Practitioner/Policy Implications: Policymakers and practitioners should adopt a holistic approach to shareholder activism, considering the multifaceted actors, objectives, and strategies involved. Evaluations of activist outcomes should account for both financial and non-financial impacts at the firm-, market-, and macro-levels.

 

 

This study presents the results of a comprehensive bibliometric analysis of research on linear water erosion incisions in the Central-West region of Brazil. A total of 91 documents, including scientific articles, dissertations and academic theses, were analyzed to map the research trends and patterns in this field. The results indicate a predominance of geospatial and geodynamic studies. A multidisciplinary methodological approach is evident in 71% of the studies that combine multiple procedures to obtain more robust results. Most studies are multifactorial, using indicators of vegetation, land use and management, and geomorphology, reflecting the complexity of the processes involved. The main research focuses include modeling, mapping, and prediction indices. The results show that multiscale approaches are essential for integrating local and regional knowledge, offering a comprehensive understanding of the challenges and solutions for the erosive phenomenon. In addition, the geographical distribution of the studies reveals a greater concentration in the states of Goiás and Mato Grosso, associated with the intense agricultural and livestock activity in these areas. It is concluded that interdisciplinary approaches and the use of advanced technologies to address the challenges of linear water erosion should be intensified to promote sustainable land use and management practices.

 

 

Practice-based research (PBR) has emerged as a promising alternative to traditional models of academia-practice collaborations, aiming to integrate scientific inquiry with practical interventions. However, the lack of a comprehensive, cross-disciplinary understanding of PBR has obstructed its recognition and led to inadequate evaluation frameworks. To address this gap, this study conducted a bibliometric analysis across the Social Sciences and Humanities disciplines to explore trends in PBR adoption and publication. Analyzing 3,417 documents from the Web of Science, it examined PBR research trends and utilized bibliometric mapping to identify thematic research clusters and historical evolution patterns. The findings revealed a growing interest in PBR, likely influenced by a focus on societal impact and educational reforms, such as the integration of vocational education into academic structures. It emphasized the need for cross-disciplinary exploration of PBR, shedding light on its diverse approaches and providing a systematic, data-driven perspective beyond theoretical frameworks.

 

 

The RSA (Rivest–Shamir–Adleman) cryptosystem is a widely used public-key cryptographic algorithm in information systems and computer applications. With the advancement of lattice theory, a technique known as the lattice-based method has emerged as a significant threat to RSA and its variants. This paper aims to conduct a bibliometric analysis of publications in the field of lattice-based attacks on RSA-type cryptosystems. The analysis is based on a dataset of relevant publications retrieved from Scopus and utilizes visualization tools such as CiteSpace and VOSviewer for a thorough overview. In order to understand the research developmental trajectory, we analyze the publication trends over the years, explore cooperation networks at various levels, including country/region, institution, and author, and assess the extent of collaboration, contribution, and productivity within the field. Additionally, author co-citation network and reference co-citation clustering are utilized to enable the identification of significant research achievements, cutting-edge developments, and structural framework. Furthermore, we conduct detailed analysis from a keyword perspective to identify research hotspots and emerging trends. The findings contribute to the existing body of knowledge on lattice-based cryptanalysis of RSA-type cryptosystems. Moreover, this bibliometric analysis serves as a valuable resource for identifying fruitful areas for further exploration and guides future research efforts.

 

 

Purpose: In recent years, the rapid advancement of artificial intelligence technology has brought opportunities for the acceleration and improvement of the drug discovery process by aiding in all stages of drug discovery like drug target identification and validation, virtual screening, de novo drug design, and ADMET property prediction. The present study aims to provide an overview of the developing tendency, cooperation, and influence of academic groups and individuals, hotspots, and crucial problems in the field of AI-aided drug discovery using bibliometric methods. Methods: Publications on AI-aided drug discovery published from January 1, 2009, to December 31, 2023, were retrieved from the Web of Science core collection. The document type was limited to articles or reviews, and the language was set to English. Citespace was used to conduct the bibliometric analysis. Results: A total of 9700 publications were included, and the number of them generally increased over time, with a rapid increase tendency since 2018. The US and China were the leading countries in this field. The Chinese Academy of Sciences was the most influential institution. Ekins, Sean was the most productive author and Hou, Tingjun formed the largest cooperation network. Networks and clusters of keywords highlighted terms like “virtual screening”, “expression” and “drug delivery” as focused topics, and burst analysis showed that “support vector machines”, and “classification” received the longest attention. Meanwhile the keywords “sars cov 2”, “molecular design” and “clinical trials” were hotspots in recent years. The content analysis of the co-cited literature identified the significant questions to be tackled in future research. Conclusions: This study offers a comprehensive landscape of the global contributions given to this increasingly important and prolific field of research and points out several areas that might be addressed by future research to better develop the field of AI-aided drug discovery.

 

 

The PlanetScope (PS) satellite constellation, developed by Planet Labs Inc., represents a significant advancement in Earth observation, offering high spatial resolution and daily revisit capabilities. This study provides a comprehensive bibliometric analysis of PS satellite imagery, exploring its utilization in scientific research from 2017 to 2023. Using data extracted from the Scopus database, 582 documents were analyzed to uncover the publication trends, key research disciplines, collaboration networks, and research themes related to PS imagery. The results highlight the increasing use of PS data in Earth and Planetary Sciences, Environmental Science, and Computer Science, with a notable concentration of research outputs from the United States, China, and Brazil. Furthermore, our findings indicate that PS data is applied in diverse fields, including land use/land cover classification, agriculture, environmental monitoring, and disaster assessment. Notably, machine learning techniques are increasingly applied to PS data, enhancing analysis capabilities. Despite the growing adoption of PS imagery, challenges related to data access, particularly in low-income regions, were identified, and PS data often plays a secondary or supplementary role in many studies. Recommendations for enhancing interdisciplinary collaboration, expanding open-access data programs, and integrating advanced processing techniques are proposed to maximize the impact of PS data in addressing global environmental challenges. This study provides valuable insights into the evolving landscape of PS-based research, emphasizing the potential of PS data and identifying areas for future exploration.

 

 

This study explores the changing landscape of Open Banking-a financial services model where third-party providers get access through APIs to banking data for further innovation and customer experience improvements. The analysis is based on Scopus bibliographic data and relies on Biblioshiny and Citespace for the analysis of trends from 1999 to 2024. The main indicators analyzed include the dynamics of the annual scientific production, which increased after 2018 by a factor driven by regulatory frameworks such as PSD2. The main contributors are leading authors and sources, among them the Journal of Payments Strategy and Systems, while country-specific analyses definitely point out the UK, India, and China as major Open Banking research hubs. Thematic and trend analyses show that themes like data sharing, fintech, and API regulation are well-developed, whereas API security and risk management are still underexplored. Co-citation network visualizations depicted clear collaboration networks between countries and then between key authors. Factorial analysis further identified clusters of research related to technologically integrated themes, such as machine learning and blockchain. Key research gaps were identified in areas such as security and risk management, which are considered critical, with Open Banking’s continued expansion across the world. Practical implications include more robust API security frameworks and a deeper dive into the advanced technology-regulatory compliance link.