A study of citations to STEM databases: ACM Digital Library, Engineering Village, IEEE Xplore, and MathSciNet

Tomaszewski, Robert

doi:10.1007/s11192-020-03795-w

Cited by 8 publications

(2 citation statements)

References 32 publications

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“…Considering the nature of this study covering the technical and medical domains, we also selected two databases, PubMed and IEEE Xplore, containing peer-reviewed publications from the domains. PubMed is the leading database for peer-reviewed medical and biological sciences publications [ 44 ], and IEEE Xplore is the most cited engineering and computer science academic database [ 45 ] to which we have access. By selecting these specific databases, we obtain peer-reviewed scientific articles tackling the subject from a multidisciplinary perspective, including the technical and clinical points of view.…”

Section: Research Methodology and Contributionsmentioning

confidence: 99%

Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects

Shumba

Montanaro

Sergi

et al. 2023

Sensors

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Smart wearable devices enable personalized at-home healthcare by unobtrusively collecting patient health data and facilitating the development of intelligent platforms to support patient care and management. The accurate analysis of data obtained from wearable devices is crucial for interpreting and contextualizing health data and facilitating the reliable diagnosis and management of critical and chronic diseases. The combination of edge computing and artificial intelligence has provided real-time, time-critical, and privacy-preserving data analysis solutions. However, based on the envisioned service, evaluating the additive value of edge intelligence to the overall architecture is essential before implementation. This article aims to comprehensively analyze the current state of the art on smart health infrastructures implementing wearable and AI technologies at the far edge to support patients with chronic heart failure (CHF). In particular, we highlight the contribution of edge intelligence in supporting the integration of wearable devices into IoT-aware technology infrastructures that provide services for patient diagnosis and management. We also offer an in-depth analysis of open challenges and provide potential solutions to facilitate the integration of wearable devices with edge AI solutions to provide innovative technological infrastructures and interactive services for patients and doctors.

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Section: Research Methodology and Contributionsmentioning

confidence: 99%

Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects

Shumba

Montanaro

Sergi

et al. 2023

Sensors

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“…The “Cited Reference Search” tool has been successfully used to study citations to Wikipedia (Li et al, 2021 ; Park, 2011 ; Tomaszewski & MacDonald, 2016 ), chemistry handbooks (Tomaszewski, 2017 ), chemical encyclopedias (Tomaszewski, 2018 ), STEM databases (Tomaszewski, 2019 , 2021 ), MATLAB software (Tomaszewski, 2022 ), conference proceedings (Cardona & Marx, 2007 ), industry standards (Rowley & Wagner, 2019 ), news stories (Kousha & Thelwall, 2017 ), and tweets (Haunschild & Bornmann, 2023 ). This inspired the idea that a “Cited Reference Search” could be used to analyze citations to multiple bibliometric software tools.…”

Section: Introductionmentioning

confidence: 99%

Visibility, impact, and applications of bibliometric software tools through citation analysis

Tomaszewski

2023

Scientometrics

Self Cite

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This study examines the visibility, impact, and applications of bibliometric software tools in the peer-reviewed literature through a “Cited Reference Search” using the Web of Science (WOS) database. A total of 2882 citing research articles to eight bibliometric software tools were extracted from the WOS Core Collection between 2010 and 2021. These citing articles are analyzed by publication year, country, publication title, publisher, open access level, funding agency, and WOS category. Mentions of bibliometric software tools in Author Keywords and KeyWords Plus are also compared. The VOSviewer software is utilized to identify specific research areas by discipline from the keyword co-occurrences of the citing articles. The findings reveal that while bibliometric software tools are making a noteworthy impact and contribution to research, their visibility through referencing, Author Keywords, and KeyWords Plus is limited. This study serves as a clarion call to raise awareness and initiate discussions on the citing practices of software tools in scholarly publications.

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Virtual, augmented reality and learning analytics impact on learners, and educators: A systematic review

Sakr,

Abdullah

2024

Educ Inf Technol

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Virtual and Augmented Reality technologies have emerged as promising tools in the education sector, offering new possibilities for immersive learning experiences. Many researchers have focused their research on examining the potential of these technologies in education from different perspectives. However, it was discovered that there are research gaps in current systematic reviews regarding the examination of the impact of Virtual, Augmented Reality and Learning Analytics utilization on various types of learners and educators across different educational systems, including K-12 Education, Higher Education, Vocational, and Industrial Training, in addition to the educational systems’ research tendencies and their adoption of these technologies. Therefore, our study aims to address these gaps by searching various studies in Google Scholar, Scopus, and the IEEE Xplore databases. By following the PRISMA protocol, 150 research papers were selected for analysis, and our findings show that improving motivation and attention, improving learners’ understanding & performance, and increasing knowledge retention are the most significant impacts on all types of learners. For educators, we found that these technologies have a prominent effect on assisting educators in teaching and training and reducing the burden. Furthermore, we discovered that Higher Education and Augmented Reality were the dominant educational system and the technology type in the selected studies. We also found that most Virtual and Augmented reality researchers preferred to use questionnaires and online surveys for data collection. We further identified that analyzing learners’ traces when interacting with Virtual and Augmented Reality applications can improve learners’ performance and learning experience. Our review offers valuable insights into how integrating these technologies with Learning Analytics can benefit learners and educators and how educational institutions and industrial organizations can take advantage of adopting these technologies.

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A study of citations to STEM databases: ACM Digital Library, Engineering Village, IEEE Xplore, and MathSciNet

Cited by 8 publications

References 32 publications

Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects

Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects

Visibility, impact, and applications of bibliometric software tools through citation analysis

Virtual, augmented reality and learning analytics impact on learners, and educators: A systematic review

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