Mapping the Knowledge Landscape of Dyslexia: A Worldwide Bibliometric Study

This chapter explores particular global knowledge of the Franciscan Order. It considers how the Franciscans’ global knowledge was a complex genre, involving science, religion, mythology, and observations made by the pilgrims travelling throughout the world. It surveys the geometry of the Franciscans’ global knowledge network and their entanglement with mythologies of pre-Columbian knowledge of the Americas. This chapter in particular interrogates the relationship between space, knowledge, and power and reflects on the way in which knowing space and owning space are related.

PurposeThis paper examines the role of co-inventor collaboration with China and/or the USA on a country's increase in centrality in global knowledge networks. It also explores the role of specific institutional factors – corruption and intellectual property rights (IPR) protection – on this relationship.Design/methodology/approachIn the study, co-inventor data from the United States Patent and Trademark Office (USPTO) applications have been used to construct networks of technological knowledge collaboration at the country level over the years 2002–2015. Using eigenvector centrality as the dependent variable, the study uses fixed effect regression analyses on a panel of 171 countries, contributing to recent debates on knowledge networks and international cooperation.FindingsBuilding on research in economic development, innovation and social network theory, this research finds that co-patenting with Chinese inventors is positively related to a country's centrality in global knowledge networks and that this relationship is negatively moderated by collaboration with the current most central knowledge network – namely that of the USA – suggesting a substitution effect. It also finds a partial substitution between institutional factors, IPRs protection and transparency, and collaboration with China on a country's knowledge centrality.Practical implicationsRegarding policymakers, the findings can be used to encourage international collaboration for increased access to new sources of knowledge that fosters innovation while keeping a close eye on local institutions, especially emerging economies that want to increase their international knowledge network centrality.Originality/valueThis study creates a unique panel data set and extends the social networks approach in international business literature, focusing on institutional characteristics related to participation in knowledge networks.

The Government of India has consistently promoted sustainable farming practices and the adoption of climate-resilient methodologies. These measures are designed to enhance farmers’ incomes while simultaneously creating new opportunities for entrepreneurship and innovation in the agricultural sector.This study presents a scientometrics analysis of research on agriculture and climate change in India, with a focus on international collaboration. Using data from the Web of Science (1995–2025), 2,460 publications with 3,19,979 citations were examined through Biblioshiny, VOSviewer, and HistCite to assess publication trends, citation impact,and collaborative networks. Findings reveal contributions from 127 countries, with the United States (354 publications; 26,538 citations), United Kingdom (156; 17,027), and Australia (147; 15,148) as leading collaborators. Analysis of Total Global Citation Scores (TGCS) and Total Local Citation Scores (TLCS) highlights dual patterns of influence: research powerhouses such as the USA and UK show high global and local impact, while countries like Mexico and Kenya demonstrate strong local influence despite moderate global citations. Emerging contributors, including Bangladesh, the Philippines,and Pakistan, are gaining visibility in both global and regional research networks. The results underscore that global citation dominance does not always align with local scholarly integration, and balanced international collaboration is essential for addressing region-specific agricultural challenges under climate change. The study analyzed the characteristics of articles published by Scientists in the field of climate change in agriculturein India total 2430 Publications retrieved from the Scopus online database were analyzed. There were as many as 127 countries actively engaged research with researchers. The most productive and the highest number of collaborations with USA, with (TP=354, TC=26,538),followed by the UK (156), with (TP=375, TC=17,027),Australia(TP=194, TC=15,148 ), Germany (TP=156, TC=11,668 ), and People’s R China (TP=140, TC=11,451 ).

To visualize the structure of Iranian scientific output in Science Citation Index (SCI), accessible via Web of Science (WOS), during 2000-2006, we used scientometric techniques and HistCite software. The number of Iranian documents indexed in SCI during the study period was 24480. Generally HistCite analyzes citation data on two different levels: based on citations in WOS (Global Citation Scale), and citations in collection of retrieved documents (Local Citation Scale). The results of this study showed that, in the study period a total of 8 clusters have been formed on the two levels (GCS and LCS): Clusters 1 and 2 (with 3 sub-clusters) in GCS and clusters 3, 4, 5, 6, 7, and 8 in LCS. The subject area of whole clusters was chemistry, but different areas of this discipline. The prominent subject area in our study was organic chemistry. The most effective document in this study was an article by Zolfigol with 123 global citations and 71 local citations. The subject category of cluster 1 was analytical chemistry and membrane electrodes. Cluster 2 consists of 3 sub-clusters (sub-cluster 1 hydrocarbons, sub-cluster 2 in the field of oxidation and nitrogen, and sub-cluster 3 catalysts). Cluster 4 was crystal structure, cluster 5 electrochemical analysis, cluster 6 macro cycles, cluster 7 aliphatic and aromatic complexes and the 8th cluster was polymers.KeywordsScientometricshistoriographical mapresearch activitiesscientific productsscientific outputThomson ISIcitation indexesWeb of Science (WOS)Iran

Artificial intelligence (AI) has increasingly influenced healthcare, yet its adoption in nursing research remains underexplored. Although interest in AI applications, such as robotics, decision support, and machine learning, is growing, a comprehensive bibliometric mapping of global scholarship in nursing remains lacking. To examine the global trends, intellectual structures, and thematic evolution of AI-related research in nursing from 1984 to 2025 (through May 2025) and to identify key authors, institutions, and research foci. A systematic search was conducted in the Web of Science Core Collection using predefined title-based keywords ("nurse" OR "nursing") AND ("artificial intelligence" OR "machine learning" OR "deep learning" OR "robotic∗" OR "chatbot∗" OR "neural network∗"). Studies were included if they explicitly addressed nursing practice, management, education, or research applications of AI. Two independent reviewers screened all records by title and abstract to confirm nursing relevance using predefined inclusion and exclusion criteria. This yielded 799 records; after removing duplicates and uncited papers, 530 publications were retained as nursing-related. Bibliometric analysis employed performance and science-mapping techniques via VOSviewer and Biblioshiny. Indicators included publication trends, citation distributions, keyword co-occurrence, authorship patterns, and collaborations. The number of publications increased substantially after 2018, with the United States, China, and the United Kingdom being the most productive countries. Dominant research themes included robotics in elder care, clinical decision support systems, and nursing education enhanced by AI tools. Coauthorship analysis revealed limited international collaboration, and keyword mapping identified "robotics," "machine learning," and "nursing education" as leading focal points. Despite decades of development, AI remains an emerging and underutilized area within nursing research. The rapid growth of publications in recent years signals expanding interest, yet the field lacks consolidated efforts and cohesive global collaboration. Greater interdisciplinary and international engagement is needed to accelerate innovation.

Background/objectivesNeutrophil elastase (NE) is a serine protease primarily produced by neutrophils, playing a pivotal role in various physiological and pathological processes. This study aimed to provide insights into the research landscape surrounding NE and its implications in the post-COVID-19 era.MethodsThe current study employed a cross-sectional design based on bibliometric analysis. Articles were retrieved from the Scopus database and analyzed quantitatively using VOSviewer and Bibliometrix software to evaluate publication trends, authorship patterns, citation dynamics, and emerging research themes.ResultsThe analysis highlighted countries and institutions significantly contributing to NE research, revealing global trends and hotspots. Collaboration patterns were assessed, showcasing productive partnerships within the field. Key research topics identified include NE’s roles in inflammation, tissue damage, and disease pathogenesis. The COVID-19 pandemic reshaped the thematic map of NE research, driving focus toward NE's involvement in COVID-19 pathophysiology, therapeutic interventions, and its role in complications associated with the disease.ConclusionsThis bibliometric analysis offers a comprehensive view of NE research, focusing on its functions, pathophysiological roles, and implications for diseases such as lung disorders and COVID-19, providing a foundation for future research directions.

Globalising knowledge networks: Universities, diaspora strategies, and academic intermediaries

Ocean negative carbon emissions: A new UN Decade program

Objectives: Temporal and global changes in research utilising imaging to assess foot osteoarthritis is currently unknown. This study aimed to undertake a bibliometric analysis of published research to: (1) identify the imaging modalities that have been used to evaluate foot osteoarthritis; (2) explore the temporal changes and global differences in the use of these imaging modalities; and (3) to evaluate performance related to publication-and citation-based metrics. Methods: A literature search was conducted using Scopus to identify studies which had used imaging to assess foot osteoarthritis. Extracted data included publication year, imaging modality, citations, affiliations, and author collaboration networks. Temporal trends in the use of each imaging modality were analysed. Performance analysis and science mapping were used to analyse citations and collaboration networks. Results: 158 studies were identified between 1980 and 2021. Plain radiography was the most widely used modality, followed by computed tomography, magnetic resonance imaging (MRI) and ultrasound imaging (USI), respectively. The number of published studies increased over time for each imaging modality (all P ≥ 0.018). The most productive country was the United States of America (USA), followed by the United Kingdom and Australia. International authorship collaboration was evident in 57 (36.1%) studies. The average citation rate was 23.4 per study, with an average annual citation rate of 2.1. Conclusions: Published research employing imaging to assess foot osteoarthritis has increased substantially over the past four decades. Although plain radiography remains the gold standard modality, the emergence of MRI and USI in the past two decades continues to advance knowledge and progress research in this field.

Introduction: Telemedicine has become a vital component of Taiwan's health care system, enhancing access, efficiency, and equity in medical services. Rapid growth has been fueled by advances in digital technologies, policy support, and increasing clinical applications, particularly during the COVID-19 pandemic. Despite this progress, a comprehensive overview of research trends is lacking. This study applies bibliometric and quantitative analyses to map current developments, identify key contributors, and guide future health care policy and practice. Methods: We conducted a bibliometric analysis of telemedicine research in Taiwan using the Web of Science Core Collection (to August 30, 2025). Publication characteristics, citation counts, and authorship patterns were analyzed. Keyword co-occurrence networks were generated with VOSviewer to identify research hotspots and thematic clusters, ensuring accuracy through independent verification. Results: From 1998 to 2025, telemedicine research in Taiwan has shown steady growth, with publication counts rising sharply after 2010 and peaking in 2024. Key contributors include National Taiwan University, National Cheng Kung University, and Taipei Medical University, which lead in both publication volume and citation impact. Highly cited studies address telemedicine applications, COVID-19 responses, and digital health innovations. Co-occurrence network analysis highlights four major research themes: clinical telemedicine, health care management and policy, COVID-19-related digital health, and AI-driven technologies. Challenges remain in rural areas, including infrastructure, technology acceptance, and workforce shortages, underscoring the need for targeted strategies to expand telemedicine. Conclusions: Future telemedicine research in Taiwan should prioritize rural health care, leveraging 5G, AI, and smart technologies to enhance care efficiency, accuracy, and resource allocation, supporting sustainable, high-quality, and equitable medical services aligned with Environmental, Social, and Governance principles.

PurposeThe paper's aim is to propose a core journal decision method, called the local impact factor (LIF), which can evaluate the requirements of the local user community by combining both the access rate and the weighted impact factor, and by tracking citation information on the local users' articles.Design/methodology/approachMany institutions with a limited budget can subscribe only to the most valuable journals for their users. The importance of a journal to a local community can be calculated in many ways. This paper takes both global and local access frequency and journal citations into consideration. The method of weighted web page link analysis is adopted.FindingsThis paper finds that the weighted page rank may be used efficiently in the core journal decisions. Experimental results demonstrate that the proposed LIF can effectively suggest journals to local users better than existing methods (i.e. impact factor or the local journal rank).Research limitations/implicationsThis research requires the determination of the thesis scores, which needs authorisation from the authors. If the scores are not available, the scores may be subjectively assigned or retrieved from the other resources.Practical implicationsA case study in National Cheng Kung University was conducted to show that the LIF can be used to help library managers evaluate the real demands of local community users.Originality/valueRather than existing research, this paper focuses on the utilisation and requirements of local community users and also finds the contributions of citation information to be significant and critical.

The goal of this paper is to explore the social foundations of regional innovation by analyzing the role of universities in promoting technology transfer and the creation of innovation networks. The argument put forward is that regional innovation benefits from, and is stimulated by, horizontal and vertical knowledge flows and trans-regional networks, enabling firms to benefit from wider knowledge transfers between old and new establishments, large and small operations, and within and across sectors. The empirical study focuses on the Kitchener and Guelph metropolitan areas, referred to as Canada's Technology Triangle (CTT), where a larger number of firms related to information technology (IT) have been successfully launched since the 1970s in the area surrounding the University of Waterloo. This research investigates to what degree these university spin-offs and start-ups have established regional networks in innovation, their level of dependence on global knowledge networks, and whether this dynamic has produced spillovers to other regional industries.

The integration of information and communication technologies (ICTs) into knowledge management (KM) is essential for effective knowledge processes in higher education; however, significant barriers continue to hinder optimal use in many African contexts. This study examines perceived barriers to ICT adoption and their impact on KM effectiveness in Tanzanian universities, applying the Technology Acceptance Model (TAM) as its analytical lens. A cross-sectional, mixed-methods design was employed, combining quantitative survey data from 350 students with qualitative insights from interviews, focus group discussions, and document reviews involving institutional stakeholders. Descriptive findings indicate that weak internet connectivity (72%), limited ICT infrastructure (65%), and frequent electricity disruptions (56%) were the most prevalent barriers, alongside outdated systems, inadequate technical support, and low digital competence. To test the relationship between barriers and KM effectiveness, a chi-square test of goodness of fit was conducted, revealing a statistically significant difference in the distribution of reported barriers, χ²(6, N = 350) = 412.57, p < .001. Poor internet connectivity and limited access to ICT resources were particularly predominant and exerted the strongest influence on KM outcomes, supporting H₁ that perceived barriers significantly affect KM in Tanzanian higher education institutions. The findings indicate that these barriers reduce both perceived usefulness and perceived ease of use, slowing ICT adoption and encouraging reliance on informal alternatives, such as WhatsApp. The study recommends coordinated investment in ICT infrastructure, digital literacy programs, responsive technical support, and institutional ICT governance to enhance KM practices, foster innovation, and strengthen Tanzanian universities’ role in global knowledge networks.

Innovation is regarded as a highly open and interactive process, where companies absorb, generate and apply knowledge relying both on internal and external sources. They maintain links to various knowledge sources from local to global levels using particular channels for acquiring such knowledge. Although global knowledge networks might render the regional environment less important, we argue that geography still matters i) as location for innovation activities and ii) as multiscalar pattern of knowledge relationships. We investigate, therefore, to what extent firms are using particular knowledge sources from regional, national or international spatial levels, and to what extent their innovativeness can be explained by the knowledge sourcing pattern and their location. The paper draws on data from 110 ICT companies in three Austrian regions and uses both descriptive tools and multivariate models. The variety of knowledge sources used on regional as well as international levels and the engagement in R&D cooperations are identified as key factors for innovation in the ICT-sector, whereas company location had less direct effect.

The internationalization of higher education in the last decades reigns highly on the agendas of higher education systems worldwide. Universities in Europe, as well as in other regions, are expected to become key players in a global knowledge network. In addition to state-to-state academic relationships, there are a growing number of higher education institution-to-institution collaborative ventures, operating beyond national jurisdictions. Both higher education systems and individual higher education institutions are forced nowadays to navigate between contrasting trends. This paper examines five pairs of contrasting trends along which higher education systems, as well as individual higher education institutions, have to navigate in defining their missions and in shaping their operational strategies: serving national priorities vs. operating within an international setting; government steering vs. institutional autonomy; increased diversity vs. harmonization policies; competition vs. collaboration; and intellectual property vs. intellectual philanthropy. On the continuum of these five contrasting trends, each higher education institution has to define today its functioning in its national context and in the international higher education network.