Scientometric Review Research Articles

A Scientometric Review of Research on Intestinal Dysbiosis in Dogs (2011–2023): Trends and Insights

The aim of this study is to quantify and describe, through scientometrics, data on studies related to intestinal dysbiosis in dogs. For this purpose, articles published between 2011 and 2023 were selected using the Web of Science database. Through an active search, 137 articles were screened, of which 82 were included in this study, selected based on title and abstract evaluation. Data were collected on the number of articles published by date, number of authors, citations per author, and the countries with the highest number of publications. Data processing was conducted using R Studio software and the Bibliometrix package, ensuring greater specificity in the analyses. The results show that the year 2020 presented the highest peak of published studies, with 13 articles. It was also observed that the most cited author published 41 of the 82 selected articles, and that the United States is responsible for the largest number of publications. Through this study, it was possible to conclude that countries with greater technological resources directly impact the scientific dissemination of information on the proposed topic.

Job Satisfaction Among Physical Education Teachers: A Scientometric Review

Job Satisfaction Among Physical Education Teachers: A Scientometric Review

Sports and Nutrition: A Scientometric Review

Sports nutrition, a dynamic field, benefits competitive athletes. This study examines its evolution through Scopus and Web of Science trends. The authors employed ScientoPy software to analyse various publications, prominent sports (and) nutrition research areas, (pro)active authors in the field, keywords, popular sources, and institutional information. This study exploited the data reconciliation, cluster mapping, webmetric, and scientometric methodologies to analyse 1527 individual entries from the Scopus and Web of Science databases. These databases revealed that the most popular subject matters in the field were "sports nutrition" and "sport Science," with "sports nutrition" having the most 'keynoted' word in most nutrition and dietetics journals since 2019. "Muscle" is the second most popular subject matter in sports and nutrition, demonstrating its reputation in this study area, also experiencing a meteoric rise in popularity since 2019. Our findings showed the top five most popular keywords that gained traction (on a marginal analysis base) were "Sports nutrition," "Exercise," "Sports performance," "Nutrition," and "Dietary supplements." The study's contribution to sports and nutrition is that it grants readers and future researchers a spectrum of past and current sports nutrition trends. Also, the analysis from the study will help future researchers forecast potential industry trends.

Public Health Crisis Management Caused by COVID-19: A Scientometrics Review.

The COVID-19 pandemic was one of the most serious public health events of the 21st century, which had a profound impact on the entire human society and sparked extensive debate and research on public health crisis management. To clarify the development path of the issue and to discover the structure and internal logic of related studies, this study conducted a scientometric analysis (co-citation analysis, co-occurrence analysis, cooperation network analysis, knowledge domain migration analysis) of 8814 publications from the Web of Science Core Collection and PubMed using CiteSpace, and drew the following conclusions: (1) The research focuses on empirical studies in medicine and other fields, and expands to non-medical fields such as "social media", "COVID-19 lockdown", and "air quality"; (2) The USA, UK, Italy and other major developed countries in Europe and America are leading the research trend, while developing countries, notably China, India and Brazil have become the important contributors to the study of this issue in different ways; (3) The research results at this stage are mainly in the fields of medicine, health and biology and are cited internally, but are also developing in the direction of economics, political, environmental and other fields. Finally, this study summarises some of the issues that should be of concern to public health crisis management in the post-pandemic era, in the hope of providing some insight for researchers on this issue.

Mapping the future: a scientometric review of 3D/4D printing research trends

Mapping the future: a scientometric review of 3D/4D printing research trends

A Scientometric Review and Analysis of Studies on the Barriers and Challenges of Sustainable Construction

Despite numerous concerns about climate change and the deterioration of nature, the construction industry is still one of the largest consumers of minerals and natural resources. In recent decades, sustainable construction using renewable and recyclable materials, reducing energy, and the adoption of more green technologies with the aim of reducing harmful impacts on the environment have received profound worldwide attention. The more key stakeholders involved strive to achieve sustainability, the more barriers they may face, which requires investigating them to have an effective plan to recognize, prevent, and control them. This paper reviews, classifies, and analyzes the major barriers of sustainable construction between January 2000 and April 2023. In this scientometric study, 153 articles were selected from the Web of Science database. Then, bibliometrics, the creation of maps from network data, as well as the illustration and exploration of those maps were conducted with the HistCite 12.03.1 and VOSviewer 1.6.20 software programs. The analytical results showed that the most profound barriers of sustainable construction are classified into 12 groups: price, economic parameters, awareness, technical, policy and regulations, design, management and government, environmental, social, materials, planning, and market.

Sustainable Mobility as a Service: A Scientometric Review in the Context of Agenda 2030

City planners are facing an emergency to develop, promote, and implement actions that allow the mobility needs of people and businesses in cities (and their surroundings) to be satisfied to assure a better quality of life. Among the different actions to promote, there is public transport, which should be the cornerstone of sustainable urban mobility. The only way to achieve the transition from private to public is by integrating services into a multimodal network and then encouraging interchange between different modes of transportation. In this context, the development of mobility as a service (MaaS) solutions is significant, and different studies have been developed in recent years. The paper thus introduces a scientometric review of such a topic in relation to the Sustainable Development Goals of Agenda 2030. The study focuses on the current state of MaaS implementation, trends, and research gaps, with an in-depth analysis of emerging themes, based on 819 documents selected from the WoS and Scopus databases. Introducing the database, and research methodology, an accurate interpretation of the data generated by the bibliometric analysis, and the primary evaluation parameters are outlined. The identified studies have been then categorized into three thematic groups with the intention of offering a comprehensive study that identifies the shortcomings and difficulties in the research carried out in these areas up to today. Particular attention is paid to how this research relates to the Sustainable Development Goals.

Big data analytics in the AEC industry: scientometric review and synthesis of research activities

Big data analytics in the AEC industry: scientometric review and synthesis of research activities

Construction Sector Transition towards Smart Applications of Graphene Oxide in Cement-Based Composites: A Scientometric Review and Bibliometric Analysis

Cement-based composites (CBCs) are essential in the construction sector due to their cost-effectiveness, availability, and versatility, but they struggle with low tensile strength and poor heat resistance. Recent advancements have highlighted the potential of nanomaterials, particularly graphene oxide (GO), in enhancing the mechanical, thermal, and electrical properties of CBCs. This study aims to provide a comprehensive review of the incorporation of GO into cementitious composites, examining its impact on microstructure, mechanical properties, rheology, and durability; thus, a bibliometric review and scientometric analysis were conducted to thoroughly evaluate the existing literature. A total of 263 studies were selected for thorough study. It can be concluded that GO content acts as a pore filler, decreasing porosity by 23% and average pore size by 22%, while boosting compressive strength by up to 15% at a 0.05% concentration. It also enhances workability, stability, and resistance to chloride ingress, sulfate attack, alkali–silica reaction, and carbonation. Incorporating GO reduces cement consumption and carbon footprint, leading to more durable structures and supporting sustainable construction by efficiently utilizing waste materials. The optimal GO concentration for these benefits ranges from 0.03% to 0.1% by weight of cement, as higher concentrations may cause agglomeration. GO-modified cementitious materials are well suited for high-performance and durable applications, particularly in environments with chemical and mechanical stresses.

A scientometrics review of conventional and soft computing methods in the slope stability analysis

Predicting slope stability is important for preventing and mitigating landslide disasters. This paper examines the existing approaches for analyzing slope stability. There are several established conventional approaches for slope stability analysis that can be applied in this context. However, in recent decades, soft computing methods has been extensively developed and employed in stochastic slope stability analysis, notably as surrogate models to improve computing efficiency in contrast to traditional approaches. Soft computing methods can deal with uncertainty and imprecision, which may be quantified using performance indices like coefficient of determination, in regression and accuracy in classification. This review study focuses on conventional methods such as the Bishop’s method and Janbu’s method, as well as soft computing models such as support vector machine, artificial neural network, Gaussian process regression, decision tree, etc. The advantages and limitations of soft computing techniques in relation to conventional methods have also been thoroughly covered in this paper. The achievements of soft computing methods are summarized from two aspects—predicting factor of safety and classification of slope stability. Key potential research challenges and future prospects are also given.

Scientometric Review on Psychosocial Risk Factors, Stress, and Burnout Syndrome Among Workers in Different Economic Sectors Engaged in Teleworking Mode in Colombia

Objective: To analyze psychosocial risk factors, stress, and burnout syndrome in workers from different economic sectors who work remotely in Colombia Theoretical Framework: It includes models such as Karasek and Theorel's Demand-Control-Support, Locke's job satisfaction, Siegrist's effort-reward imbalance, Maslach and Jackson's burnout, and Tushman and Nadler's telework. Tejada and Reyes detail specific risks of telework. Scientometrics, since the early 20th century (Cole & Eales, 1917, cited in Araújo & Arencibia), has been used to analyze these models. Method: Quantitative, descriptive, and cross-sectional study with teleworkers in Colombia, using secondary sources such as Scopus. A search was conducted with 'psychosocial risks' and 'Colombia', following quality criteria from Humanante, García & Conde (2017). Data collection and analysis were conducted using R Studio. Results and Discussion: The study highlights that health personnel is the main population analyzed in risks with emphasis on psychosocial factors. Scientometrics in Colombia plays a crucial role in improving occupational health through the use of validated tools and the optimization of research time, obtaining replicable and effective results. Research Implications: It provides information on how the results can be applied or influence practices in the field of Psychosocial Risks. These implications encompass Occupational Safety and Health. Originality/Value: It contributes to the literature with an innovative and relevant approach, highlighting the methodological importance to develop effective solutions to eradicate the causes of the investigated problem.

Photocatalysis as an Alternative for the Remediation of Wastewater: A Scientometric Review

Photocatalysis as an Alternative for the Remediation of Wastewater: A Scientometric Review

Mapping Publications of Cracks Monitoring in Concrete Structures: Bibliometric and Scientometric Review in 2013-2023

Mapping Publications of Cracks Monitoring in Concrete Structures: Bibliometric and Scientometric Review in 2013-2023

Home Monitoring Tools to Support Tracking Patients with Cardio–Cerebrovascular Diseases: Scientometric Review

Home care and telemedicine are crucial for physical and mental health. Although there is a lot of information on these topics, it is scattered across various sources, making it difficult to identify key contributions and authors. This study conducts a scientometric analysis to consolidate the most relevant information. The methodology is divided into two parts: first, a scientometric mapping that analyzes scientific production by country, journal, and author; second, the identification of prominent contributions using the Tree of Science (ToS) tool. The goal is to identify trends and support decision-making in the health sector by providing guidelines based on the most relevant research.

Soil desiccation in the context of vegetation restoration: A scientometric analysis

AbstractThis research aims to fill the gap in understanding the evolution of soil desiccation studies, focusing on its impact on sustainable crop production in China's Loess Plateau. The study explores trends, influential works, authors, journals, and emerging research areas within the field of soil desiccation. To achieve this, this study pioneers a comprehensive scientometric exploration of soil desiccation. The study analyzed 1952 publications on soil desiccation from January 2013 to December 2023, sourced from the Web of Science. Various co‐citation techniques such as author co‐citation analysis (ACA), document co‐citation analysis (DCA), journal co‐citation analysis (JCA), and keyword analysis are employed. Network development, visualization tools, and text‐mining methods are utilized to discern patterns and relationships within the dataset. Here, for the first time, nine distinct clusters were identified through DCA. The findings reveal the impactful emergence of significant clusters, such as the one focusing on the Loess Plateau, marking a significant advance in our understanding of soil desiccation. Multiple research frontiers or sub‐specialties emerge, including topics such as different vegetation types, the impact on grain yield, water use efficiency, growth, soil water content, hydraulic redistribution, drought, soil moisture, and modeling. This innovative scientometric review of soil desiccation outlines the current scientific and technological trends while identifying knowledge gaps. The findings are beneficial for researchers, graduate students, and professors interested in understanding research trajectories, pivotal publications, and influential scholars shaping this field.

Knowledge Domain and Emerging Trends in Internet-based diagnosis and treatment services：A Scientometric Review Based on CiteSpace V Analysis

Background: In the battle against the COVID-19 pandemic, Internet-based diagnosis and treatment services offer a promising technological avenue for effective healthcare delivery. However, there remains a scarcity of bibliometric analyses on Internet-based diagnosis and treatment services within the healthcare domain. This study aims to address this gap by conducting a comprehensive examination of research advancements, highlighting prevalent themes, and delineating emerging trends in Internet-based diagnosis and treatment research using CiteSpace V. Methods: The Web of Science Core Collection (WoSCC) was utilized to gather literature on Internet-based diagnosis and treatment within the healthcare sector spanning from 2001 to 2021. CiteSpace V facilitated keyword analysis, created dual-map overlays of journals, generated timeline views of co-cited references, and analyzed literature information. This encompassed variables such as involved countries and institutions, journals publishing relevant research, authors and cited authors, cited references, highly cited works, H-index, average citations, prevalent subjects of interest, and emerging frontiers in the field. Results: WoSCC identified a total of 1259 papers on Internet-based diagnosis and treatment for bibliometric analysis. Annual publications generally exhibited an upward trend. The United States contributed the most publications (465 papers) and the highest number of highly cited papers (9). Poland had the highest average citations per item (42.12). Gerhard Andersson emerged as the most influential author, with 16 publications and a co-citation count of 216. The six primary topics in Internet-based diagnosis and treatment services were health anxiety, randomized controlled trials, IoT platforms, health-related quality, Chinese men, and Internet gaming disorder. The eight emerging topics were medical devices, artificial intelligence, health-related quality, breast cancer, prostate cancer, patient care, treatment decisions, and HIV. With the development of Internet-based diagnosis and treatment technology, major ongoing research trends include the deep application of artificial intelligence in the medical field, enhancing patient satisfaction in clinical practice, improving health-related quality, and treating breast cancer patients. Conclusions: This study provides a comprehensive examination of Internet-based diagnosis and treatment services within the healthcare sector, offering valuable insights that provide significant guidance for future development in the field.

Low Back Pain Risk Among Athlete: A Scientometric Study

Low back pain (LBP) emerges as a prevalent concern within the athletic community, characterized by a noteworthy proclivity for recurrence. The repeated occurrence of LBP substantially impedes athletes and adversely affects their performance. As such, it becomes imperative to discern the underlying factors contributing to injuries in the lumbar region. The scientometric analysis will provide a clear pathway for researchers to understand the current state and evolution of the theme research area of low back pain risk among athletes. No scientometric study on this theme has been undertaken until today. Therefore, this research objective was to collect data from the database to identify the present trend of low back pain risk, development patterns, and current research. Software that has been utilized for commonness, co-occurrence, clustering, co-citation and analysis of burst was CiteSpace. A scientometric review of studies on athletes' low back pain risk from 2000 to 2023 finds considerable additional studies in the amount of literature, the citation frequency, and the hotspots available. The most influential author is Douglas W. Jackson, the most influential article is Biomechanical measures of neuromuscular control and valgus loading of the knee predict anterior cruciate ligament injury risk in female athletes: a prospective study. Thoraco-lumbar spine is the most common cluster, whereas the most popular keyword is spondylolisthesis. In conclusion, low back pain is becoming one of the future study topics. Furthermore, many stakeholders must be aware of current trends and advances in the athlete's low back pain risk.

A scientometric review of global research on solar photovoltaics and poverty alleviation

A scientometric review of global research on solar photovoltaics and poverty alleviation

Matching-up modularity methodology application within the built environment: a bibliometric review

ABSTRACT Over the past several years, modularity methodology has drawn a lot of attention in the built environment and become a key area of emphasis for the construction sector. By disassembling a structure into standardised, prefabricated parts or modules that may be produced off-site and then assembled on-site, modularity is a construction technique. In order to identify possible research gaps for future studies, this study attempts to evaluate the research studies carried out on modularity technique in the built environment domain. The study also seeks to extract information from present research domain. The SCOPUS database was thoroughly searched for papers pertaining to modularity technique in the built environment using a scientometric review. Research articles from 2019 to 2024 were included in the study, which provided important insights into the themes and developments in the field of modularity methodology. The results showed that modularity technique is becoming more popular, as seen by the large number of publications in 2019. Interestingly, the study found a research gap and very little cooperation with other new developments in the built environment, like digital twins, novel materials, maximising land use, and circular economies. Cluster analysis revealed that the majority of research in this area focuses on the modularity methodology’s component parts, with little investigation into real-world applications across a range of disciplines. The study’s practical implications highlight the necessity for academics, practitioners, and policymakers in the construction sector to take modularity methodology into consideration as a workable and revolutionary strategy.

Bibliometric analysis of technology readiness and education in high-impact journals of social sciences

In this bibliometric study, the close relationship between technology readiness and education is explored, particularly within the realm of social sciences. The main objective is to identify global trends and behaviors associated with these concepts. A qualitative scientometric review methodology was employed, focusing on the Web of Science (WoS) database, with 1366 articles analyzed. The application of various laws revealed the fundamental importance of Technology Readiness and Education for the long-term success of organizations in the digital age. Investing in the development of Technology skills strengthens competitiveness and fosters innovation. However, a minimal representation of educational topics in Social Sciences was observed, accounting for only 0.03% of the total articles. This knowledge gap is crucial to address, as training in technology and education is essential for both professional and scientific success. Having the appropriate competencies in technology and education is imperative to achieve greater productivity and professional success across various domains.