Publication Patterns Research Articles

Unveiling Trends, Themes and Collaborative Networks of Research on Sustainable Development Goals in India: A Bibliometric Analysis

The goal of global sustainability has acquired substantial attention as a result of the United Nation’s Sustainable Development Goals (SDGs), which serves as a comprehensive framework for addressing major societal and environmental concerns. This study applies bibliometric analysis to assess the landscape of research articles on the SDGs. The study aims to uncover significant trends, thematic areas, influential authors, and collaborative networks within the discipline through a comprehensive examination of an extensive body of scholarly literature. The analysis entailed gathering data from prominent academic database Scopus, spanning a specific time frame. Utilizing bibliometric technique, the study assesses patterns in publication, citation, and collaboration to provide a comprehensive understanding of the research landscape. The analysis dives into the frequency of SDG-related research outputs, identifies theme clusters and goal’s interconnections, and identifies significant works affecting the conversation. The results of this bibliometric investigation reveal evolving trends in SDGs research, identify emergent and established focal points, and shed light on the changing environment of research collaboration. The analysis focused on the progress made in tackling the SDGs across several academic disciplines, while also revealing gaps and potential for future research. The findings of this bibliometric analysis have significance for policymakers, researchers, and practitioners working to advance sustainable development efforts and strengthen the collective knowledge base in support of the SDGs.

Bibliometric perspectives in mapping the progress of river water quality index studies

ABSTRACT This paper employs a bibliometric analysis to guide researchers in forecasting the trajectory of research related to the development of the river water quality index. It scrutinizes issues such as variable selection, weight allocation, and the formulation of the function, which are key concerns in the river WQI development. This study also addresses gaps in the existing literature by examining how information about river water quality indices is disseminated, focusing on aspects such as contributing research and prevalent keywords. While bibliometric analysis has been widely applied in various research domains, its use in developing river water quality indices has been comparatively limited. To address this, the current study conducts a bibliometric analysis to identify trends in index creation and to assess the current state of the literature in the field of water quality indices. This examination includes a comprehensive review of papers published in the Scopus database from 1973 to 2024, relevant to the river WQI. Utilizing tools such as R, VOSviewer, and BiblioMagika, the research uncovers patterns in publication among authors and organizations. A finding is that China and India have emerged as leading contributors to publications in this field, indicating their pivotal role in the advancing river water quality index research.

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.

The influence of student voice on teacher professional learning: A systematic literature review

AbstractStudent voice has the potential to prompt changes in teaching and foster teacher development; however, it is underutilised in teacher professional learning. Research on its impact is emerging, and a systematic review is needed to identify trends and themes. This review investigates current trends and themes in the influence of student voice on teacher learning from 2012 to 2023 within K‐12 education. Analysis of 19 empirical papers revealed irregular patterns of publications, a predominant emphasis on secondary education, and qualitative methodologies. Participatory research designs emerged as practical approaches, engaging teachers in inquiry processes and collaboration. Student feedback led to a transformative process for many teachers, prompting them to reflect and change their practice. Supportive school structures and leadership are emphasised for embedding student feedback in classrooms, engaging teachers and students in collaboration, and overcoming obstacles. This review demonstrated that when student voice is valued and acted upon, it can stimulate teacher development. A proposed model for teacher development incorporating student voice consists of three interconnected levels—school leadership support, collaborative practice and learning outcomes—ultimately contributing to overall school improvement. Recommendations for future research are discussed.

INPUTS AND OUTPUTS OF HIGHER EDUCATION: A READING OF THE ALGERIAN HIGHER EDUCATION SYSTEM IN THE LIGHT OF THE KNOWLEDGE INDEX

Objective: The purpose of this research is to assess and understand the condition and difficulties facing the education system, in Algeria in light of the knowledge economy, with particular focus on the alignment between university outputs and labor market demands. Theoretical Framework: The study is based on the concept of the knowledge based economy model which underscores the pressing requirement for institutions to adjust to progress and changing economic landscapes. It examines the relationship between higher education outcomes and economic development in developing nations. Method: The study employs an analytical approach to evaluate Algeria's higher education system, examining public spending patterns, graduate employment rates, and the alignment between academic programs and market needs. Results and Discussion: The results indicate that with rises, in funding, for public education and enhancements educational inputs, Algeria faces persistent challenges: (1) high unemployment rates among university graduates, (2) misalignment between academic training and industry requirements, and (3) limited focus on entrepreneurship and innovation in university curricula. Research Implications: The study recommends strategic reforms including: (1) reorienting universities toward entrepreneurship education, (2) strengthening research and innovation capabilities, and (3) developing learning environments that foster creativity and practical skills. These changes aim to shift from a purely employment-focused model to one that emphasizes job creation. Originality/Value: In this study a thorough examination of the education system, in Algeria is presented within the framework of the knowledge economy., offering evidence-based recommendations for transforming universities from institutions that prepare job seekers to centers that create job creators, thereby contributing to sustainable economic development.

Engaging with underserved communities during times of crises: A computational analysis of social media interactions with government information about COVID-19 economic relief programs

Racial and social inequalities in the digital landscape remain pressing concerns in society. Previous research on government efforts to address digital inequality has largely focused on improving access to digital infrastructure and literacy. However, there is a severe shortage of research that examines how underserved communities engage with government information on relief measures and policies during crises. This study fills these gaps by drawing insights from three bodies of literature – digital inequality, the situational theory of problem solving, and fear. We investigate how underserved communities, such as low-income individuals, communities of color, and rural populations, interacted with government information about COVID-19 economic relief programs designed to mitigate the adverse effects of crises, and how fear influenced public engagement patterns. We analyzed Facebook posts (N = 28,887) containing links (URLs) to government websites on COVID-19 economic relief programs from 2020 to 2022. Our findings show that posts shared within underserved communities generated higher levels of engagement (shares, comments) compared to those shared in nonunderserved communities. This indicates that underserved communities showed great interest in and participation with government information about relief programs during the pandemic. Notably, engagement significantly decreased when fear was expressed in discussions, and such a pattern was more pronounced in underserved communities than in nonunderserved ones. These results offer valuable insights into the communication dynamics of underserved communities during crises, contributing to a deeper understanding of digital inequality within the policy context.

A Bibliometric Analysis of Ten Years on Positive Psychology in Foreign/Second Language Education (2012-2022)

This bibliometric study examines the research trends, productivity, publication, and citation patterns of positive psychology in the field of foreign/second language education by analyzing 137 documents retrieved from the Web of Science (WoS) database between 2012-2022. Data analysis was conducted using various scientometric software, including MS Excel and Biblioshiny. Results reveal that the first publication on this topic appeared in 2012, with a major increase observed in 2021-2022, with the highest number of publications (N = 41) in 2022. The highest number of citations (n = 528) were observed in 2018. China was found to be the most productive country (N = 106), while Japan had the highest citation impact (N = 63). The most cited document received 198 citations. The study also found that the most frequently used word was "emotion" and the trending topic was positive psychology. The most productive university affiliation was found to be Birkbeck University of London in the UK.

A Protocol for a Bibliometric Analysis of Traditional, Complementary, and Integrative Medicine Research Preprints

Background: Traditional, complementary, and integrative medicine (TCIM) has witnessed significant growth in interest globally. Despite its popularity, TCIM research encounters numerous challenges including funding, methodological issues, and risk of bias. Preprints (scientific manuscripts openly accessible before formal peer review) present a potential solution, and understanding the characteristics and impact of TCIM preprints could offer valuable insights.Methods: A bibliometric analysis will be conducted on all TCIM-related preprints, since inception, and posted on preprint servers with TCIM subject filters. Preprints will be sourced from servers listed in the Accelerating Science and Publication in Biology directory which allow filtering by TCIM-related categories. The preprint server and URLs, preprint server’s disciplinary scope, ownership type, screening processes, external content indexing, permanence of content, preservation of content, and comments will be extracted. The number of TCIM-related preprints yielded, and which TCIM-related term each preprint server uses will be noted. Data will be extracted from each eligible preprint: preprint server, title, DOI, preprint posted date, status of preprint, journal of final publication, final publication date, type of preprint, abstract of preprint, authors, author affiliation(s), country of corresponding author, funders, number of views, number of downloads, number of comments, number of citations, number of versions, and keywords. Descriptive statistics will be used to summarize the bibliometric characteristics, and trend analysis will identify publication patterns over time.Conclusion: This protocol was developed for a study to identify trends in TCIM research dissemination, and contribute to a better understanding of how preprints are being used to advance the field

Role of Technology Innovation in Economic Growth: A Bibliometric Analysis

Economic growth is a metric used to measure a country's development and advancement. Technological innovation is a driving force behind economic growth and helps to improve and modernize industrial techniques. Thus, this study aims to synthesize existing research on the impact of technology innovation on economic growth from 2010 to 2024 through bibliometric analysis. 414 documents were extracted from the Scopus database and then analyzed through the BiblioShiny software. This review provides insightful information on the background of technological innovation and its impact on economic growth and analyses data according to publication patterns, sources, documents, authors, nations, and keywords. The results indicate a rapid and remarkable growth (28.91%) in this field, suggesting that interest in this field has increased noticeably. China emerges as a leader in terms of research production, citations, and partnerships when national contributions are examined. China is also a keyword that is frequently used in related literature. Sharif A. and Liu J are the most influential authors in terms of citation and publication respectively. Jiangsu University is the top institution, and “Environment Science and Pollution Research” is the top source that has contributed the highest number of articles in this field. Various bibliometric studies have been carried out to explore the concept of technology innovation in different facets and contexts, but economic growth through the lens of technological innovation remains unexplored. Thus, this study advances our knowledge regarding the influential role of technology innovation in economic growth by using a bibliometric lens to examine the literature, identify knowledge gaps, indicate areas requiring more research, and highlight the potential for progress. These findings will have significant implications that can greatly benefit researchers, decision-makers, and professionals in crafting policies and focusing on infrastructure development to support technology innovation. This bibliometric study concludes with limitations and recommendations for further study.

Mapping the Path to Low-Carbon Behaviour: A Systematic Review of Trends, Gaps, and Future Directions

It is essential to conduct research on low-carbon behaviour in order to address global climate change and promote sustainable development. This study conducts a thorough examination of a bibliometric analysis of the existing literature in this field. We analysed 129 papers from the Web of Science Core Collection database to conduct a study on the concept of “low-carbon behaviour”. Review articles, proceedings papers, and editorial materials were all excluded. This investigation examines a diverse array of research environment factors, including the most highly ranked publications, publication trends, significant publishers, and patterns in citations and publications over time. The primary institutional contributors in the discipline and the most influential works worldwide are also mentioned. The application of advanced visualisation techniques, such as wordcloud representations, the spatial distribution of research output, and co-occurrence and overlay networks, is employed to generate maps of keyword relationships and collaboration networks using Bibliometrix Stable Version, VOSviewer 1.6.20, and Scimago Graphica Beta 1.0.45. This multi-modal methodology enables a comprehensive investigation of significant research issues and emerging directions in low-carbon behavioural studies. This study contributes to the ongoing endeavours to promote sustainable development and mitigate climate change by conducting a comprehensive evaluation of the current state of research and establishing a robust framework for future investigations into low-carbon behavioural patterns and behaviours.

Mapping The Growth of ESG Research: A Bibliometric Analysis Using Bradford's, Lotka's, and Zipf's Laws

Objective: The objective of this study is to investigate the growth and development of research on Environmental, Social, and Governance (ESG) factors using bibliometric analysis. The aim is to understand the publication trends in ESG research and identify influential authors, key themes, and opportunities for future studies. Theoretical Framework: The research is grounded in key bibliometric laws such as Bradford's law (journal productivity), Lotka's law (scientific productivity of authors), and Zipf's law (word frequency analysis). These laws form the basis of the study and provide a solid framework for understanding the evolution of ESG research. Method: This study adopts a bibliometric analysis approach, using data from the Web of Science and Scopus databases. A total of 699 articles from 345 journals and 1,574 authors were analyzed. Techniques like citation analysis, co-citation analysis, bibliographic coupling, and network analysis were employed to assess publication patterns and collaborations. Data was processed using R software and Bibliometrix. Results and Discussion: The results reveal a significant increase in ESG-related publications, particularly after 2013, with annual growth of 39.97%. The study identifies influential authors, such as Hebbe and Buallay, and explores the themes of sustainability, corporate social responsibility, and governance. In the discussion, the results are contextualized within the broader ESG framework, highlighting the role of ESG in corporate behavior and investment strategies. Research Implications: The study provides insights into how ESG research can inform policy-making and corporate decision-making. The findings highlight the importance of ESG factors in sustainable development and suggest future research avenues in areas like digital transformation, entrepreneurship, and innovation. Originality/Value: This study contributes to the literature by offering a comprehensive overview of ESG research, utilizing innovative bibliometric techniques to track its evolution. The originality lies in the use of multiple bibliometric laws to analyze ESG trends, making it valuable for researchers and practitioners looking to understand current and future directions in ESG.

Research on the Cognitive Orientation to daily Occupational Performance Approach: A Bibliometric Review.

The Cognitive Orientation to daily Occupational Performance (CO-OP) is an evidence-based intervention approach that has significantly increased in popularity over the past two decades. However, how the research literature on this topic is patterned is still unknown, so it is difficult to identify potential areas for research and clinical interest. To analyze the literature published on the CO-OP approach to provide a detailed and structured analysis of the publication patterns. All literature related to CO-OP included in the Web of Science database through June 15, 2024. All published studies related to CO-OP were included in the bibliometric analysis, which was conducted on the raw data retrieved from the Web of Science database using the Bibliometrix R package. The annual growth rate in CO-OP research has been 0.8%, significantly increasing from 2015 onward. Most of the research has been published in occupational therapy and rehabilitation journals by English-speaking research teams, and its scope has expanded from developmental coordination disorder to a wide range of health conditions. In addition, two main lines of research have emerged: one focusing on understanding the underlying cognitive processes involved in CO-OP and the other focusing on its clinical effectiveness. Research on CO-OP has significantly increased over the past decade, and it currently encompasses a wide range of areas. This analysis may facilitate the advancement of research on and the clinical practical application of CO-OP. Plain-Language Summary: The Cognitive Orientation to daily Occupational Performance (CO-OP) is an evidence-based intervention approach that has significantly increased in popularity over the past two decades. Occupational therapists use it to improve the occupational performance of both children and adults with movement difficulties. However, it is unknown how the research literature on this topic is patterned, so it is difficult to identify potential areas for research and clinical interest. This study found that scientific literature on CO-OP has significantly increased in the past decade and that its scope has expanded from developmental coordination disorder to a wider range of health conditions, such as cerebral palsy. Moreover, research is now focused on two main questions: What are the underlying cognitive processes involved during intervention, and how effective is the CO-OP approach? These findings can be used to further improve occupational performance and participation among occupational therapy clients who struggle with motor performance and planning.

Problems of Good Governance in Managing Indonesia’s Borderland: The Case of Entikong Subdistrict

The present study explores the good governance processes of border management in Entikong Subdistrict. The Entikong Subdistrict in West Kalimantan is a priority district that receives special attention from Indonesian central and local governments. The Entikong border post started operating in 1989, making it the first land border in Indonesia. Nevertheless, despite its aged history and many development efforts within the area, the economic growth and welfare of the border community remained stagnant. The data for this article were collected through a field work in Entikong for four months in 2022 in which we conducted observation, interviews, and focus group discussion with local residents and government officers. This study reveals that good governance became the focal issue explaining Entikong’s lack of development by providing two problems in the border development at Entikong: 1) the government’s inconsistency on the road widening project and 2) the complexity of governance and bureaucracy. This paper further elaborates on the essence of locality in good governance practices while simultaneously addressing the authority division problems and communication towards the demands of the local community. This study argues that better public communication patterns should be implemented to avoid misunderstandings within the community and increase the participation of local citizens, government, and civil society in the development process of the border area.

Bibliometric Insights into Anger and Aggression Research

Background: Anger and aggression are central constructs in psychology, sociology, and behavioral sciences, affecting mental health and social interactions. Despite extensive research, there is a need to map the trends and focal points of studies in this area, particularly to understand how themes like mental health disorders, developmental psychology, and social dynamics interconnect with aggression. Objective: This study aims to conduct a bibliometric analysis of global research on anger and aggression, identifying key trends, influential authors, leading research areas, and interdisciplinary approaches. The goal is to provide insights into the trajectory and focus of scholarly work in this field. Methods: Using bibliometric techniques, including co-occurrence mapping and citation analysis, data from relevant research articles were extracted and analyzed through VOSviewer. Key terms, authorship networks, and publication patterns were examined to uncover thematic clusters and research trajectories. Findings: The analysis highlights several prominent themes in the literature on anger and aggression, including their links to psychological disorders (e.g., depression, stress), behavioral development in children and adolescents, and the influence of family and social environments. The co-occurrence analysis also points to growing interest in therapeutic interventions, cognitive and neurological underpinnings of aggression, and biological factors, such as brain injury. Authors such as Richard Tremblay, David Farrington, and Manuel Eisner have emerged as influential figures in this research domain. Conclusion: This bibliometric study reveals that research on anger and aggression is characterized by interdisciplinary approaches, integrating psychology, neuroscience, and social sciences. The focus on mental health and therapeutic interventions highlights the practical applications of this research in clinical settings. The increasing interest in the neurological and biological dimensions of aggression also suggests a broadening of the research agenda. Novelty: This study provides a comprehensive overview of the intellectual landscape of anger and aggression research through a bibliometric lens, offering new insights into the evolving trends, collaboration networks, and thematic directions in the field. It is one of the first studies to integrate a co-occurrence analysis with citation data to map both psychological and biological dimensions of aggression research.

A Meta-Analysis and Systematic Review of Foreign Language Anxiety Interventions Among Students

Foreign language anxiety is an emotional reaction toward learning and using a foreign language, which may negatively influence individuals’ self-perceptions, beliefs, emotions, and behaviors. To explore how to mitigate the potential detrimental effect of foreign language anxiety, this meta-analysis and systematic review included 37 primary articles on interventions targeting relieving foreign language anxiety. The results revealed the overall efficacy of these interventions ( ES = −0.61, p = .03) in reducing anxiety . Age was the only significant moderator despite seven moderators being included. The qualitative section of the systematic review examined intervention types, publication patterns, and research designs in the 37 analyzed articles. A notable increase in publications on this topic was observed over time, with approximately equal numbers of studies utilizing direct versus indirect interventions. This review offers implications for both future researchers and practical applications in addressing foreign language anxiety.

A systematic literature review and plans for further study on smart mobile learning system acceptance

This paper’s aim is to conduct a systematic review of the state of scholarly research on smart mobile learning acceptance (SMLS) and suggest areas for future research. Fifty-five papers from 2019 to 2022 were used for the systematic literature review. The theories of the SMLS acceptance, publication patterns by region, industry, sample type, as well as the study methodology obtained from content analysis are presented. The results revealed about 18 different theories were identified with TAM being the most frequently employed model (n = 23). Three different methods (quantitative, qualitative and mixed-method) were used by the scholars, with questionnaire survey being the main method used to collect data (n = 50). Most of the researchers used structural equation modelling (SEM) to analyse their data. The Asian region has the most studies on SMLS (n = 33), while the education industry happens to be the main focus of the researchers (n = 45). This study's findings may be utilized to enrich theoretical and methodological advancements, as well as to provide important insights for policy creation by developing strategies and frameworks for the acceptance of SMLS. By putting all the relevant knowledge of SMLS together from diverse industries, this study enhances the academic landscape.

An exploratory qualitative analysis of public awareness, communication dynamics, and behavioral patterns regarding food safety in Mainland China

BackgroundFood safety stands as a critical public health concern in China. People’s perceptions and communication regarding food safety crises significantly impact their emotions and food preferences. The rise of social media has also complicated information sharing and decision-making. Exploring public’s cognitive, emotional and behaviral responses toward food safety risks is crucial for improving food safety practices and public health.MethodsFrom fall 2018 to fall 2023, 23 in-depth interviews were held using a semi-structured protocol aligned with the Risk Analysis Framework (RAF) components: risk assessment, communication, and management.ResultsOur findings showed that the public blamed unethical agriculture practices and food processing for food safety issues. People, dissatisfied with mainstream media, turned to social media to collect food safety information. Many adopted self-protective behaviors, assuming personal responsibility for food safety.ConclusionFindings from this study highlighted individuals’ concerns about environmental pollution and the use of chemical substances in food safety issues. The results underscored the need for accurate and prompt media coverage, stronger government regulation, industry self-regulation, and targeted consumer education to effectively tackle these challenges.

Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis.

As artificial intelligence (AI) takes an increasingly prominent role in health care, a growing body of research is being dedicated to its application in the investigation of communication sciences and disorders (CSD). This study aims to provide a comprehensive overview, serving as a valuable resource for researchers, developers, and professionals seeking to comprehend the evolving landscape of AI in CSD research. We conducted a bibliometric analysis of AI-based research in the discipline of CSD published up to December 2023. Utilizing the Web of Science and Scopus databases, we identified 15,035 publications, with 4,375 meeting our inclusion criteria. Based on the bibliometric data, we examined publication trends and patterns, characteristics of research activities, and research hotspot tendencies. From 1985 onwards, there has been a consistent annual increase in publications, averaging 16.51%, notably surging from 2012 to 2023. The primary communication disorders studied include autism, aphasia, dysarthria, Parkinson's disease, and Alzheimer's disease. Noteworthy AI models instantiated in CSD research encompass support vector machine, convolutional neural network, and hidden Markov model, among others. Compared to AI applications in other fields, the adoption of AI in CSD has lagged slightly behind. While CSD studies primarily use classical machine learning techniques, there is a growing trend toward the integration of deep learning methods. AI technology offers significant benefits for both research and clinical practice in CSD, but it also presents certain challenges. Moving forward, collaboration among technological, research, and clinical domains is essential to empower researchers and speech-language pathologists to effectively leverage AI technology for the study, diagnosis, assessment, and rehabilitation of CSD. https://doi.org/10.23641/asha.27162564.

Content-Based Instruction in Language Education: A Bibliometric Review

The popularization of content-based foreign language programs has given rise to Content-Based Instruction (CBI) as a practical pedagogical approach to facilitating language learning through the medium of content. The growing amount of relevant research in the past decades has necessitated a systematic review of the trends in CBI research to summarize achievements and illuminate future research practices. In this article, CBI-related research articles indexed in Web of Science are reviewed bibliometrically using VOSviewer, following a rigorous selection and screening process. Certain aspects are emphasized, including publication patterns, geographic distribution, institutional contributions, contributing scholars, influential journals and articles, and frequently repeated author keywords. Among the findings, the review highlights substantial geographical variation in previous CBI research as well as the most frequently repeated keywords with corresponding clusters. This review concludes by addressing the research trends in this field and recommending future research directions, which are crucial for understanding the current situation and establishing a foundation for future studies.

Bibliometric Trends and Insights into the Potential of Maize (Zea mays) under the Framework of Conservation Agriculture

In spite of the detrimental effects of climate change and decreasing resource efficiency, maize farming is essential to the world’s food and nutritional security. With regard to sustainable maize farming in this environment, conservation agriculture (CA) offers a framework that holds promise in terms of low soil disturbance, perennial soil cover, and sustainable crop rotation. In order to acquire more profound information on the research advancements and publication patterns related to maize under CA scenarios, a bibliometric analysis was conducted. This involved utilizing René Descartes’s Discourse Framework to extract and screen 2587 documents spanning the years 2001 to 2023 from the Dimensions.ai database. The mapping showed that different stakeholders were becoming more interested in maize research under various CA pathways, with a greater emphasis on reaching the second sustainable development target, or “zero hunger”. The most influential journals were “Soil and Tillage Research” and “Field Crops Research”, with 131 and 85 papers with 6861 and 6186 citations, respectively. The performance analysis found “Christian L. Thierfelder” and “Mangi Lal Jat” as the eminent researchers in the areas of maize research under CA. Thus, the International Maize and Wheat Improvement Center (CIMMYT) and the Indian Agricultural Research Institute (IARI) were identified as the important institutions in conducting research pertaining to maize under CA systems, while the United States, India, and Mexico emerged as prominent countries with notable collaboration efforts for imparting research under the given scenarios. Three thematic clusters delineating keywords from three distinct sections—key drivers, objectives, and methodology—were identified through co-word analysis using word clouds, tree maps, and thematic networking of the keywords from the abstract and titles of screened publications. These thematic clusters highlighted the growing emphasis on region-specific studies under CA, particularly in sub-Saharan Africa and the Indo-Gangetic plain, to enhance the resilience of the agri-food system. Therefore, mapping maize’s potentialities within the CA framework has revealed the field’s dynamic nature and offers insightful information to researchers and policymakers that could help them plan future studies and cooperative initiatives aimed at boosting the productivity and sustainability of maize-based systems under the CA framework.