Discrepancies among Scopus and Web of Science, coverage of funding information in medical journal articles: a follow-up study

Kokol, Peter

doi:10.5195/jmla.2023.1513

Cited by 19 publications

(4 citation statements)

References 30 publications

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“…Another important indicator of the research state of a scientific field/sub-field is research funding [17]. Our analysis showed that 41.1% of papers are funded, which is notably more than in many other disciplines [18], however, less than in a comparable subfield, namely the use of AI in pediatrics, where 47.4% of papers were funded [2].…”

Section: Resultsmentioning

confidence: 81%

The Use of AI in Software Engineering: Synthetic Knowledge Synthesis of Recent Research Literature

Kokol

2024

Preprint

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Artificial intelligence (AI) has witnessed an exponential increase in its use in various applications. Recently, the academic community started to research and inject new AI-based approaches to provide solutions to traditional software engineering problems. However, a comprehensive and holistic understanding of the current status is missing. To close the above gap, synthetic knowledge synthesis was used to induce a research landscape of the contemporary research literature on the use of AI in software engineering. The synthesis resulted in 15 research categories and five themes, namely natural language processing in software engineering, use of artificial intelligence in the management of software development life cycle, use of machine learning in fault/defect prediction and effort estimation, employment of deep learning in intelligent software engineering and code management, and mining software repositories to improve software quality. The most productive country was China (n=2042), followed by the United States (n=1193), India (n=934), Germany (n=445), and Canada (n=381). A high percentage (n=47.4%) of papers were funded, showing a strong interest in this research topic. The convergence of AI and software engineering can significantly reduce needed resources, improve quality, increase user experience, and improve the well-being of software developers.

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Section: Resultsmentioning

confidence: 81%

The Use of AI in Software Engineering: Synthetic Knowledge Synthesis of Recent Research Literature

Kokol

2024

Preprint

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“…Another important indicator of the research state of a scientific field/sub-field is research funding [22]. Our analysis showed that 41.1% of papers are funded, notably more than in many other disciplines [18]; however, less than in a comparable sub-field-namely, the use of AI in pediatrics, where 47.4% of papers are funded [2].…”

Section: Most Prolific Funding Bodiesmentioning

confidence: 86%

The Use of AI in Software Engineering: A Synthetic Knowledge Synthesis of the Recent Research Literature

Kokol

2024

Information

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Artificial intelligence (AI) has witnessed an exponential increase in use in various applications. Recently, the academic community started to research and inject new AI-based approaches to provide solutions to traditional software-engineering problems. However, a comprehensive and holistic understanding of the current status needs to be included. To close the above gap, synthetic knowledge synthesis was used to induce the research landscape of the contemporary research literature on the use of AI in software engineering. The synthesis resulted in 15 research categories and 5 themes—namely, natural language processing in software engineering, use of artificial intelligence in the management of the software development life cycle, use of machine learning in fault/defect prediction and effort estimation, employment of deep learning in intelligent software engineering and code management, and mining software repositories to improve software quality. The most productive country was China (n = 2042), followed by the United States (n = 1193), India (n = 934), Germany (n = 445), and Canada (n = 381). A high percentage (n = 47.4%) of papers were funded, showing the strong interest in this research topic. The convergence of AI and software engineering can significantly reduce the required resources, improve the quality, enhance the user experience, and improve the well-being of software developers.

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“…Additionally, some parts of the study were qualitative, which might have resulted in a slight bias in research theme identification and naming. Finally, the funding information in Scopus might contain some inaccuracies [72], but this seems to have been reduced recently [73].…”

Section: Study Limitationsmentioning

confidence: 99%

Artificial Intelligence and Pediatrics: Synthetic Knowledge Synthesis

Završnik,

Kokol,

Žlahtič

et al. 2024

Electronics

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The first publication on the use of artificial intelligence (AI) in pediatrics dates back to 1984. Since then, research on AI in pediatrics has become much more popular, and the number of publications has largely increased. Consequently, a need for a holistic research landscape enabling researchers and other interested parties to gain insights into the use of AI in pediatrics has arisen. To fill this gap, a novel methodology, synthetic knowledge synthesis (SKS), was applied. Using SKS, we identified the most prolific countries, institutions, source titles, funding agencies, and research themes and the most frequently used AI algorithms and their applications in pediatrics. The corpus was extracted from the Scopus (Elsevier, The Netherlands) bibliographic database and analyzed using VOSViewer, version 1.6.20. Done An exponential growth in the literature was observed in the last decade. The United States, China, and Canada were the most productive countries. Deep learning was the most used machine learning algorithm and classification, and natural language processing was the most popular AI approach. Pneumonia, epilepsy, and asthma were the most targeted pediatric diagnoses, and prediction and clinical decision making were the most frequent applications.

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Discrepancies among Scopus and Web of Science, coverage of funding information in medical journal articles: a follow-up study

Cited by 19 publications

References 30 publications

The Use of AI in Software Engineering: Synthetic Knowledge Synthesis of Recent Research Literature

The Use of AI in Software Engineering: Synthetic Knowledge Synthesis of Recent Research Literature

The Use of AI in Software Engineering: A Synthetic Knowledge Synthesis of the Recent Research Literature

Artificial Intelligence and Pediatrics: Synthetic Knowledge Synthesis

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