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A Bibliometric Analysis of Convergence of Artificial Intelligence and Blockchain for Edge of Things
The convergence of Artificial Intelligence (AI) and Blockchain technologies has emerged as a powerful paradigm to address the challenges of data...
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Author contributions and allocation of authorship credit: testing the validity of different counting methods in the field of chemical biology
This paper explores the relationship between an author's position in the bylines of an article and the research contributions they have made to...
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International journal of information security: a bibliometric study, 2007–2023
This study employs various bibliometric analysis techniques to examine the intellectual structure of the International Journal of Information...
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Gender representation in textbooks: a bibliometric study
Studies concerning gender representation in textbooks have shaped a multidisciplinary and heterogeneous research domain. Thus, this study aimed to...
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A bibliometric analysis of Educational Data Mining studies in global perspective
Educational Data Mining (EDM) is an interdisciplinary field that encapsulates different fields such as computer science, education, and statistics....
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Cryptocurrency and digital currency based on blockchain-enabled IoT: a bibliometric literature review
Blockchain, the mechanism that powers the Bitcoin cryptocurrency, is seen to be both enticing and essential for providing improved security and...
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Context and Characteristics of Software Related to Ecuadorian Scientific Production: A Bibliometric and Content Analysis Study
In view of the predominance of Information Technologies in different contexts, it is known that the use of software and data in the field of...
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Fuzzy min–max neural networks: a bibliometric and social network analysis
The amount of digital data in the universe is growing at an exponential rate with the rapid development of digital information, and this reveals new...
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Bibliometric Analysis of Robotic Process Automation Domain: Key Topics, Challenges and Solutions
In the era of Industry Revolution 4.0, organizations around the world are continuously looking for new technological breakthroughs that can enhance...
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Bibliometric analysis of surface water detection and mapping using remote sensing in South America
The detection and mapping of surface water resources for South America (DMSWSA) in Remote sensing context is a highly relevant issue from a...
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Exploring the trend of recognizing apple leaf disease detection through machine learning: a comprehensive analysis using bibliometric techniques
This study’s foremost objectives were to scrutinize how unexpected weather affects agricultural output and to assess how well AI-based machine...
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Towards automated writing evaluation: A comprehensive review with bibliometric, scientometric, and meta-analytic approaches
The new era of generative artificial intelligence has sparked the blossoming academic fireworks in the realm of education and information...
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Proof of bibliometric indicators: a blockchain based consensus protocol for publications
To analyze the research impact of the researcher, different bibliographic databases like Scopus, Web of Science, Google Scholar, etc. are accessed...
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A comprehensive bibliometric and content analysis of artificial intelligence in language learning: tracing between the years 2017 and 2023
The rising pervasiveness of Artificial Intelligence (AI) has led applied linguists to combine it with language teaching and learning processes. In...
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Multimedia big data computing mechanisms: a bibliometric analysis
Massive multimedia data are being created due to the rising amount of the Internet and user-generated content, low-cost commodity devices with...
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Digital Twin and Extended Reality in Industrial Contexts: A Bibliometric Review
Digital twin and extended reality technologies, including augmented reality, virtual reality and mixed reality, are among the key digital...
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Use of bibliometrics for research evaluation in emerging markets economies: a review and discussion of bibliometric indicators
The governments of most ‘emerging market’ (EM) countries (e.g., India, Mexico, and Brazil) have invested significantly in scientific research over...
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Core-periphery nexus in the EU social sciences: bibliometric perspective
The paper explores the process of integration of CEE countries into the broader EU and global research landscapes in social sciences. We use...
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Systematic Literature Review and Bibliometric Analysis on Addressing the Vanishing Gradient Issue in Deep Neural Networks for Text Data
The feature to learn complex text representations enabled by Deep Neural Networks (DNNs) has revolutionized Natural Language Processing and several...
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Why do sociologists on academic periphery willingly support bibliometric indicators?
What can explain the variation within the disciplinary communities in expressing the support of metrics in the evaluation of research productivity?...
