Collaborative Networks Research Articles

Istighātha Dhikr Practices Toward Human Well-Being: An Implication for Islamic Education

Istighātha dhikr is a spiritual practice performed by seeking help, protection, and forgiveness from Allah. It is a process of seeking Allah's assistance and protection against all weaknesses, sins, and mistakes committed. However, this practice has been carried out in various ways in different countries. This research aims to evaluate how the practice of istighātha dhikr in various countries can be implemented to improve well-being. Out of 151 identified articles, 14 relevant articles were found based on inclusion and exclusion criteria such as document type, source, and period. PRISMA was used as a guideline for selecting articles in this research. Google Scholar, EBSCO, and Publish or Perish were used as literature search databases. VOSviewer was used to analyze publication data and collaboration networks. This article provides an overview of the practice of istighātha dhikr in various countries. The results of this study indicate that istighātha dhikr is not only a practice for spiritual development but also has significant impacts in strengthening religious identity, improving the quality of worship, increasing spiritual awareness, enhancing spiritual, physical, and mental aspects, and improving overall well-being.

Drug resistance biomarkers in ovarian cancer: a bibliometric study from 2017 to 2022.

Late diagnosis and patient relapse, mainly due to chemoresistance, are the key reasons for the high mortality rate of ovarian cancer patients. Hence, the search for biomarkers of high predictive value within the phenomenon of chemoresistance is vital. This study performs a bibliometric analysis of the scientific literature concerning biomarkers of drug resistance in ovarian cancer, considering the period from 2017 to 2022. The terms "drug resistance biomarker" and "ovarian cancer" were linked by the Boolean operator "AND". The search was done in PubMed, selecting documents published over the last 5 years (2017-2022), which were analyzed with the open-source tool Bibliometrix developed in the R package. The language of the publications was restricted to English. Several types of papers such as case reports, clinical trials, comparative studies, and original articles were considered. A total of 335 scientific articles were analyzed. The United States and China were the leading contributors and established the largest number of scientific collaborations. The Huazhong University of Science and Technology and the University of Texas MD Anderson Cancer Center were the most influential institutions. The Journal of Ovarian Research, International Journal of Molecular Science, and Scientific Reports are among the most relevant journals. The study identified high-profile, relevant thematic niches and important descriptors that indicate topics of interest, including studies on women, cell lines, solid tumors, and gene expression regulation. As well as studies involving middle-aged and adult participants, and those focusing on prognosis evaluation. Descriptors such as "drug resistance," "neoplasm," "genetics," "biomarker," "gene expression profile," and "drug therapy" would indicate new research trends. In addition, we propose that BCL-2, CHRF, SNAIL, miR-363, iASPP, ALDH1, Fzd7, and EZH2 are potential biomarkers of drug resistance. This paper contributes to the global analysis of the scientific investigation related to drug resistance biomarkers in ovarian cancer to facilitate further studies and collaborative networks, which may lead to future improvements in therapy for this lethal disease.

NCMP-27. NEUROLOGICAL COMPLICATIONS IN LUNG CANCER THERAPIES: UNVEILING THE ELEVATED RISKS IN CHEMOTHERAPY AND TARGETED TREATMENT APPROACHES

Abstract BACKGROUND Neurological complications due to lung cancer treatments are a common side effect, with prevalence ranging from 19% to over 80% depending on the drug administered. Peripheral neuropathy is the most common manifestation of chemotherapy associated neurotoxicity, but there are potential central nervous system impacts as well, such as seizures, dementia, and generalized cognitive impairment. Occurrence of similar effects is less commonly reported with targeted gene therapy for cancer, however the exact prevalence has not been determined. DESIGN/METHODS We searched the US Collaboration network through TriNetX for all cases of lung cancer, identified by ICD-10 code C34. Cohort A was defined as adults 18-70 years old that had lung cancer treated with cisplatin or etoposide. Cohort B was defined as adults 18-70 that had lung cancer treated with crizotinib, alectinib, or epidermal growth factor receptor tyrosine kinase inhibitors. Outcomes were evaluated from 1 day to 5 years after the indexed event. RESULTS We reported 15,268 patients with lung cancer that were prescribed chemotherapy agents matched with 6,490 patients with lung cancer that were prescribed tyrosine kinase inhibitors. Patients prescribed chemotherapy agents were at significantly higher risk for neurological complications post treatment when compared to those treated with tyrosine kinase inhibitors (p < 0.0001). CONCLUSIONS Patients diagnosed with lung cancer on chemotherapy 18-70 years old displayed higher associated risk of various neurological disorder diagnoses. Patients undergoing chemotherapy should be educated about this increased risk and talk with their providers about alternative treatments. Further research should be conducted on the range of potential neurological complications associated with chemotherapy regimens.

Lymph Node Metastasis of Head and Neck Cancer: A Bibliometric Analysis From 2000 to 2022.

Lymph node metastasis (LNM) is a significant prognostic factor in head and neck cancer (HNC) patients. To obtain a better understanding of the worldwide prevalence and current research status, the authors conducted a comprehensive bibliometric analysis of literature published from 2000 to 2022. The contributions of institutions, journals, countries or regions, cited literature, keywords, and authors in global publications were concisely summarized using the COOC and VosViewer software tools. The data were extracted from the expansive Web of Science database. A total of 5478 papers were collected for analysis, and the number of publications has exhibited exponential growth over the last 22 years. The United States emerged as the most productive country, closely followed by China. Noteworthy institutions for their high productivity include the Sloan-Kettering Cancer Center, Sun Yat-Sen University, and the University of Texas MD Anderson Cancer Center. The Head & Neck and Oral Oncology journals lead in terms of publication volume. The main areas of research in this field were prognostication, radiotherapy, survival rates, sentinel lymph node biopsy, and the human papillomavirus. In addition, the analysis of author collaboration networks yielded valuable insights into the collaborative relationships within this research domain. Our research has identified the primary characteristics of highly impactful studies on LNM in HNC, providing significant insights into the advancements made in this area of research.

A Review on Research of Prefabricated Building Costs: Exploring Collaborations, Intellectual Basis, and Research Trends

This analysis provides a comprehensive overview of current research regarding prefabricated construction costs, explained under three main categories: collaboration, intellectual basis, and research trends. The collaboration network covers country, institution, and journal distribution. Intellectual basis includes a cited journal, cited reference, and cited author, while research trends cover research category, keyword and keyword cluster analysis, and cited reference cluster. Through bibliometric analysis, we find that this field has garnered significant attention in the academic community and has developed rapidly. China dominates the field of prefabricated construction, with Curtin University, Chongqing University, and Deakin University being the leading research institutions, while Automation in Construction is the most cited journal. Although technology integration is widely regarded as a key means of cost optimization, its high implementation costs and complexity have limited its widespread application. The challenges of technology integration lie in the need to address high capital costs, complex management practices, and the demand for advanced technology integration, which have become significant barriers to the promotion of prefabricated construction. Moreover, current research also focuses on how to enhance risk control and management practices in cost management to promote sustainable development. Future research will focus on green and sustainable technologies, multidisciplinary engineering, energy and fuel, construction technologies to optimize prefabricated construction techniques, advance low-carbon building practices, and improve decision analysis and risk management. The key factors influencing costs include technological factor, policy factors, market and environmental factors, and organizational management. By systematically controlling these factors, cost pressures can be effectively alleviated, construction efficiency improved, and the sustainability of prefabricated buildings enhanced. This study not only provides a comprehensive analysis of the current state and trends in research on the costs of prefabricated construction but also highlights the critical role of technological innovation, policy optimization, and interdisciplinary collaboration in promoting the sustainable development of prefabricated construction globally.

INTERCONNECTION LINK ADDITIONS TOWARDS COMMUNICATION NETWORK CONSOLIDATION

The ever-increasing demand for modern communication services and the rising cost of capital and operating expenditures have led to interest in multi-operator network collaborations. These network operators manage different network domains and infrastructures, such that their topologies may be disjointed from each other, and require the addition of intermediate interconnection links for the domains to communicate with each other. The main contribution of this paper is the proposal of an integer linear program for finding the optimum set of interconnection links to be added to the multi-domain networks such that the multi-domain networks become a connected graph, while minimizing either (1) the total length of added interconnection links, (2) the total shortest path length between all the border nodes of the multi-domain networks, or (3) the total number of shortest hop counts between all the border nodes of the multi-domain networks. The proposed integer linear program is shown to find the optimum solution under various properties for the multi-domain networks, albeit with increased computation time as the size of the problem increases. Simulation results using randomly generated multi-domain networks show a trade-off in terms of length of added links, shortest path length and shortest path hop count for each specific objective function.

Enhancing resource recovery in Indonesian upcycled food supply chains: collaborative innovation networks and their drivers

ABSTRACT This study provides theoretical and practical perspectives on resource recovery (RR) in upcycled food (UF) supply chains. The goal of RR in UF supply chains is to minimize food waste and maximize the value derived from food byproducts and surplus. However, since these supply chains are fragmented and recovering and utilizing food waste involve inherent uncertainties, implementation is challenging. This study employs the fuzzy Delphi method and a fuzzy decision-making trial and evaluation laboratory. The analysis validates 29 attributes of RR in UF supply chains, examines their causal relationships, and assesses hierarchical interdependencies. The findings reveal that financial resources, managerial strategies, and digital infrastructure causally drive collaborative innovation networks. This study provides managerial implications for the UF industry, highlighting the importance of engaging business stakeholders, supporting collaborative problem solving, allocating budgets strategically, developing lifecycle value strategies, and focusing on value creation. These insights can inform strategies and sustainable practices in the food sector.

Content Analysis of Bibliometric Studies Prepared About Smart Tourism

Smart tourism has become one of the most researched topics in recent years. There has been an increase in studies examining the main trends, bibliometric structures and networks, and social, intellectual, and conceptual frameworks of the concept of smart tourism within different parameters. The aim of this study is to evaluate bibliometric analysis studies on smart tourism indexed in WoS and Scopus databases by content analysis. In this context, 48 documents were found in the WoS and Scopus databases under the subject headings of "smart tourism" and "bibliometric analysis". This is the first study using content analysis to analyze bibliometric articles on smart tourism in WoS and Scopus databases. These analyses mainly focus on authors' analysis, articles' distribution according to publication years, country collaboration network, co-citation networks of authors and journals, frequency of keywords, and co-occurrence map analysis. Bibliometric analysis studies on smart tourism have gained momentum, especially after 2019, when most studies were conducted in the field. When the keywords of the studies in WoS are analyzed, it is determined that the most frequently repeated keyword is "bibliometrics" in 14 studies, followed by "smart destination" and "smart tourism destination" in 7 studies each, and "smart tourism" in 3 studies. These results show that most of the bibliometric studies in WoS focus on smart destinations.

In Case You Haven't Heard…

Mondays and New Year's Day have the highest suicide risk according to new research, “Association of holidays and the day of the week with suicide risk: multi‐country, two‐stage, time series study,” published in The BMJ Oct. 23, according to a news release. An international research team used an advanced statistical technique called standardized two‐stage time series analysis to investigate suicide risk patterns. They analyzed data from 740 locations across 26 countries, gathered from the Multi‐country Multi‐city Collaborative Research Network database. This dataset comprised 1.7 million suicide cases, including daily suicide counts along with daily mean temperature data spanning from January 1971 to December 2019. The results revealed that suicide risk was highest on Mondays across all countries, though the effect of weekends varied. New Year's Day was associated with an increase in suicide risk in all countries, while Christmas showed a mixed pattern. Although there was an overall decreasing trend in suicide risk on other national holidays, the risk tended to increase after these holidays in most countries. Notably, the findings also showed that men are more vulnerable to variations related to the day of the week and New Year's Day compared to women. Researchers hope that this large‐scale study can lead to timely interventions, potentially saving countless lives.

Research trends and foci in chondrosarcoma: A bibliometric and network analysis.

Chondrosarcoma is 1 of the most common malignant bone tumors, with dedicated research being conducted by scientists worldwide. The purpose of this study was to guide researchers in identifying valuable scholars, institutions, and countries, provide recommendations for journal submissions, and explore research trends and hotspots in chondrosarcoma studies through literature analysis. Data for this study were collected from the Web of Science Core Collection website. The R package bibliometrix was utilized for citation metrics analysis, VOSviewer for network analysis, and CiteSpace for generating keywords citation burst maps. The analysis focused on publications from 2000 to 2023, identifying trends, authorship patterns, and collaboration networks. A total of 2085 articles were initially identified, but after excluding non-English articles and those outside the study's time range, 2022 articles were included. The field comprised 9954 author records, with an average of 6.37 coauthors per document and 13.9% international co-authorships. Publications in chondrosarcoma research have shown an average annual growth rate of 3.9%. The most influential author identified was Tang Chih-Hsin from China Medical University. Significant contributions came from China Medical University and Leiden University, with China showing a dramatic increase in publications while the United States maintained a leading position in the field. The study highlights an increasing trend in chondrosarcoma research publications and identifies key contributors and institutions. Cancer emerged as 1 of the most influential journals in the field. Future research is likely to focus on targeted therapy for refractory chondrosarcomas, indicating a potential new hotspot in the ongoing efforts to understand and treat this malignancy.

Mindfulness at Work: A Bibliometric Analysis of Key Authors, Themes, and Trends

Background: Mindfulness in the workplace has gained significant attention for its potential to enhance well-being, reduce stress, and improve productivity. As interest in workplace mindfulness has grown, a need arises to systematically analyze the influential studies, key authors, themes, and trends shaping this field. Objectives: This study aims to map the intellectual landscape of "mindfulness at work" through a bibliometric analysis, identifying key contributions, collaboration networks, thematic clusters, and publication trends over time. Methods: Utilizing data from Lens.org, we conducted a bibliometric analysis using VOSviewer and WordSift tools to examine co-authorship, keyword co-occurrence, and citation networks, as well as keyword frequency and thematic trends. Findings: The analysis identifies central figures such as Jochen Reb and Christopher J. Lyddy and highlights prominent themes including well-being, stress management, and engagement, with a peak in publication interest around 2019. The study also reveals isolated research clusters, suggesting limited interdisciplinary integration within the field. Conclusion: While mindfulness research at work is growing, opportunities exist for deeper cross-disciplinary collaboration and broader integration of themes. Novelty: This study provides a comprehensive overview of the field’s development, offering insights into emerging trends, key influencers, and areas for future exploration, making it a valuable resource for researchers, practitioners, and policy-makers interested in advancing workplace mindfulness.

Lessons we learned from the Lothian Birth Cohorts of 1921 and 1936

The authors are, respectively, the founding and current Directors of the Lothian Birth Cohorts of 1921 and 1936. In this invited and, admittedly, self-regarding and necessarily self-citing piece, we enumerate and explicate some things we learned from working with the cohorts and their data. Some of the lessons are scientific results, some are to do with scientific practice, and some are more general reflections. We hope the paper provides a useful summary of some of the main findings from these too-many-papers-to-read cohorts and an enjoyable account of our building a research team and a network of collaborators. The original aim of assembling the cohorts was to fashion a tool to discover why some people's thinking skills aged better than others’. That tool, we discovered, had many additional uses.

Knowledge-embedded multi-layer collaborative adaptive fusion network: Addressing challenges in foggy conditions and complex imaging

Infrared and visible image fusion aims at generating high-quality images that serve both human and machine visual perception under extreme imaging conditions. However, current fusion methods primarily rely on datasets comprising infrared and visible images captured under clear weather conditions. When applied to real-world scenarios, image fusion tasks inevitably encounter challenges posed by adverse weather conditions such as heavy fog, resulting in difficulties in obtaining effective information and inferior visual perception. To address these challenges, this paper proposes a Mean Teacher-based Self-supervised Image Restoration and multimodal Image Fusion joint learning network (SIRIFN), which enhances the robustness of the fusion network in adverse weather conditions by employing deep supervision from a guiding network to the learning network. Furthermore, to enhance the network’s information extraction and integration capabilities, our Multi-level Feature Collaborative adaptive Reconstruction Network (MFCRNet) is introduced, which adopts a multi-branch, multi-scale design, with differentiated processing strategies for different features. This approach preserves rich texture information while maintaining semantic consistency from the source images. Extensive experiments demonstrate that SIRIFN outperforms current state-of-the-art algorithms in both visual quality and quantitative evaluation. Specifically, the joint implementation of image restoration and multimodal fusion provides more effective information for visual tasks under extreme weather conditions, thereby facilitating downstream visual tasks.

Mapping the Research Landscape of Ordinary Differential Equations through Bibliometric Analysis

Ordinary Differential Equations (ODEs) are a fundamental field used for mathematical modelling in wide-ranging applications. This research visually represents the research landscape of ODEs by utilizing bibliometric analysis and social network analysis. We analysed 1,849 documents related to topic developments, patterns in publications, and collaborative networks spanning the years 2019 to 2024. Consequently, numerous papers have been published by authors from the United States, China, and Russia, where research activity is significantly focused. The analysis identifies the articles with the highest citation rates, as well as the important authors and universities that are at the centre of publishing on ODEs. Furthermore, we display the collaborative network of the research group and countries using the VOSviewer application. In conclusion, the study highlights the current state and progress of ODE research by identifying recent developments and intriguing topics for future exploration. This paper serves as a valuable reference for researchers seeking to understand the impact and progress of ODE investigations within the broader mathematical domain.

Preface: 7th International Conference on Chemical Engineering and Advanced Materials (CEAM 2024)

The 2024 7th International Conference on Chemical Engineering and Advanced Materials (CEAM 2024) was held in Philadelphia, USA during September 28-29, 2024. This conference aims to provide opportunities for all participants to exchange new innovative ideas and application experiences as well as to provide a platform where possible innovators can think of new ventures, generate contacts and networks for future collaboration. The CEAM 2024 topics include chemical engineering, biological chemistry, biological pharmacy, food science, chemical materials, nano materials, materials processing engineering, and advanced materials applications. This conference brought together leaders from industry and academia to exchange and share their experiences, present research results, explore collaborations, and to spark new ideas, with the aim of developing new projects and exploiting new technology. On behalf of the conference organizers, we would like to thank the reviewers for their time and effort in reviewing the papers. Their feedbacks to the authors have been excellent and useful to ensure high quality papers for the conference. Our appreciation to all keynote speakers for sharing their thoughts and experiences with respect to various topics. Our sincere thanks also go to all attendees from all around the world for participating in the conference. Finally, we would like to thank the organizing committee members for their hard work, cooperation, and insights in ensuring the success of this conference. Scientific Committee of CEAM 2024 Philadelphia, USA

Electroencephalography-Based Brain-Computer Interfaces in Rehabilitation: A Bibliometric Analysis (2013-2023).

EEG-based Brain-Computer Interfaces (BCIs) have gained significant attention in rehabilitation due to their non-invasive, accessible ability to capture brain activity and restore neurological functions in patients with conditions such as stroke and spinal cord injuries. This study offers a comprehensive bibliometric analysis of global EEG-based BCI research in rehabilitation from 2013 to 2023. It focuses on primary research and review articles addressing technological innovations, effectiveness, and system advancements in clinical rehabilitation. Data were sourced from databases like Web of Science, and bibliometric tools (bibliometrix R) were used to analyze publication trends, geographic distribution, keyword co-occurrences, and collaboration networks. The results reveal a rapid increase in EEG-BCI research, peaking in 2022, with a primary focus on motor and sensory rehabilitation. EEG remains the most commonly used method, with significant contributions from Asia, Europe, and North America. Additionally, there is growing interest in applying BCIs to mental health, as well as integrating artificial intelligence (AI), particularly machine learning, to enhance system accuracy and adaptability. However, challenges remain, such as system inefficiencies and slow learning curves. These could be addressed by incorporating multi-modal approaches and advanced neuroimaging technologies. Further research is needed to validate the applicability of EEG-BCI advancements in both cognitive and motor rehabilitation, especially considering the high global prevalence of cerebrovascular diseases. To advance the field, expanding global participation, particularly in underrepresented regions like Latin America, is essential. Improving system efficiency through multi-modal approaches and AI integration is also critical. Ethical considerations, including data privacy, transparency, and equitable access to BCI technologies, must be prioritized to ensure the inclusive development and use of these technologies across diverse socioeconomic groups.

A global overview of the use of cone beam computed tomography in dentistry: a bibliometric review focusing on paediatric patients

Background Cone Beam Computed Tomography (CBCT) has improved diagnosis and treatment planning in paediatric dentistry, but no bibliometric studies have examined the research landscape. This study provides an overview of CBCT in paediatric dentistry. Methods A bibliometric review was conducted using articles from the Web of Science database up to February 2024. Conference papers and editorials were excluded. Data extracted included citation counts, publication dates, journals, impact factors, study designs, topics, geographical and institutional affiliations, authors, and keywords. Collaborative networks were visualised using VOSviewer, and Spearman’s correlation assessed the relationship between citation counts and other variables. Results The review analysed 517 articles, with the most cited receiving 557 citations. Publication dates ranged from 2005 to 2024, with a peak in 2023. Observational studies were the most common, particularly on maxillary expansion. The American Journal of Orthodontics and Dentofacial Orthopedics was the most cited journal, and the USA was a major contributor. Jacobs R authored the most articles (n=19), and the University of Alberta led in institutional output. Spearman’s correlation showed a weak positive correlation between citation count and journal impact factor (rho=0.272, p<0.001) and a strong negative correlation with publication year (rho=-0.762, p<0.001). Conclusions This bibliometric review provides an overview of the use of CBCT in paediatric dentistry, particularly in maxillary expansion. The findings suggest that more specific imaging protocols may improve safety and clinical outcomes, and that further investigation of long-term outcomes may provide valuable insights.

Monitoring, simulation and early warning of cyanobacterial harmful algal blooms: An upgraded framework for eutrophic lakes

Cyanobacterial Harmful Algal Bloom (CyanoHAB) is a global aquatic environmental issue, posing considerable eco-environmental challenges in freshwater lakes. Comprehensive monitoring and accurate prediction of CyanoHABs are essential for their scientific management. Nevertheless, traditional satellite-based monitoring and process-oriented prediction methods of CyanoHABs failed to satisfy this demand due to the limited spatiotemporal resolutions of both monitoring data and prediction results. To address this issue, this paper proposes an upgraded framework for comprehensive monitoring and accurate prediction of CyanoHABs. A collaborative CyanoHAB monitoring network was firstly constructed by integrating space, aerial, and ground-based monitoring means. As a result, CyanoHAB conditions were assessed frequently covering the entire lake, its key areas, and core positions. Furthermore, by overcoming technical limitations associated with high-precision simulation of the growth-drift-accumulation process of CyanoHABs, such as the unclear drifting process of CyanoHABs and the mechanism of its coastal accumulation, the multi-scale CyanoHAB prediction was realized interconnecting the entire lake and its nearshore areas. The implemented framework has been applied in Lake Chaohu for over three years. It provided high-frequency and high-spatial-resolution CyanoHAB monitoring, as well as its multi-scale and accurate simulation. The application of this framework in Lake Chaohu had significantly improved the accuracies of CyanoHAB monitoring, simulation, and early warning. This advancement holds significant scientific value and offers potential for CyanoHAB prevention and control in eutrophic lakes.

How do personality traits affect the formation of friendship and preference-for-collaboration networks?

Intuitively, personality traits may shape friendships differently from academic connections, potentially influencing social support development. Yet, this remains understudied, while it is crucial for student’s wellbeing. Therefore, this study investigates how the personality traits of the Five-Factor Model interact with the role friendships and preferred collaboration relationships. In a sample of 95 university students, socio-centric data were collected with questionnaires on personality traits and longitudinally on networks of friendship and preferences for collaboration networks. Utilizing stochastic actor-oriented models in RSiena, we showed that students more open to new experiences established more friendships, preferred more collaborations with their peers, and were also more popular in both networks than students less open-to-new-experiences. Students scoring higher on agreeableness were less likely to connect to their peers in both networks, whereas higher-achieving students were more likely to establish peer relationships in both networks. Furthermore, friends were preferred for collaboration (and vice versa), indicating an overlap. This study points to the importance of personality traits and achievement when students integrate into their social and academic environment.

Bibliometric Mapping of Dating Violence in Scopus and Web of Science

Introduction: Dating violence is a complex and multifaceted problem that affects people around the world. The objective was to evaluate the scientific production on dating violence in the Scopus and Web Of Science databases. Method: Scoping review was used as a method to analyze manuscripts in indexed journals. The search equations were designed with Boolean terms and operators. For the analysis of co-occurrences between authors and keywords, the Biblioshyni package was used. Results: The study covered the last 10 years, included 3077 publications from 735 journals, with a citation rate of 20.65 per document. 10499 authors participated, 92.95% of these were original articles and the most prominent authors are Miller E., Gibbs A., Decker M.R., and Silverman J.G., with the United States leading in production (49.89%). The Journal of Interpersonal Violence was the most prolific journal with 403 papers. Important thematic clusters were identified, such as violence in young couples, risk factors and interpersonal relationships, and aggression, in addition, an evolution from the approach of human and sexual relationships and violence in women was evidenced. The collaborative network showed strong connections between key authors such as Silverman, Miller, McCauley, Campbell, Stockman, Jewkes, and Gibbs. Conclusions: International collaboration and the concentration of studies in high-impact journals, mainly in the United States, underscore the need for multidisciplinary and culturally adapted approaches to effectively address and prevent dating violence. Received: 11 July 2024 / Accepted: 1 November 2024 / Published: 05 November 2024