Mobile Cloud Computing: A Scientometric Assessment of Global Publications Output during 2007-16

Gupta, Brij Mohan; Dhawan, S.M.; Gupta, Ritu

doi:10.5530/jscires.6.3.26

Cited by 5 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several previous bibliometric studies found that research on dyslexia, dyscalculia, and dysgraphia in the past 20 years mainly focused on its etiology (21)(22)(23)(24)(25)(26). The current study reviewed the progress of research on multiple measurements modalities including neurocognitive, neurophysiological and neuroimaging for an early evaluation to identify LBLD predictors using Biblioanalytics.…”

Section: Discussionmentioning

confidence: 99%

“…The query resulted in 962, the document types of Editorial Materials (21), Meeting Abstracts (12), Early Access (8), Letters (2), News Items (2), Biographical-Items (1), Corrections (1), Notes (1), and Retracted Publications (1) were excluded from the research. As a result, a total of 921 documents that included Article (731), Book Chapter (14), Proceeding Paper (23), and Review (153) documents were downloaded in CSV, RIS, and BIB formats. The data were imported into EndNote, a citation management software, to perform a duplicate check on the author, title, and year.…”

Section: Search Strategymentioning

confidence: 99%

See 1 more Smart Citation

Early predictors in language-based learning disabilities: a bibliometric analysis

Alabbad,

Khan,

Siddique

et al. 2023

Front. Psychiatry

View full text Add to dashboard Cite

IntroductionLanguage-based learning disabilities (LBLD) refers to a spectrum of neurodevelopmental-associated disorders that are characterized by cognitive and behavioral differences in comprehending, processing and utilizing spoken and/or written language. The focus of this work was on identifying early predictors of three main specific LBLD including dyslexia, dyscalculia, and dysgraphia.MethodsThe Web of Science (WoS) was searched for literature related to (neurocognitive, neurophysiological, and neuroimaging) measurements used to identify early predictors of LBLD from 1991 to 25 October 2021. A retrospective bibliometric analysis was performed to analyze collaboration among countries, institutions, authors, publishing journals, reference co-citation patterns, keyword co-occurrence, keyword clustering, and burst keywords using Biblioanalytics software.ResultsIn total, 921 publications related to the identification of LBLD using (neurocognitive, neurophysiological, and neuroimaging) modalities were included. The data analysis shows a slow growth in research on the topic in the 90s and early 2000 and growing trend in recent years. The most prolific and cited journal is Neuroimage, followed by Neuropsychologia. The United States and Finland’s Universities Jyvaskyla and Helsinki are the leading country and institution in this field, respectively. “Neuroimaging,” “brain,” “fMRI,” “cognitive predictor,” “comorbidity,” “cortical thickness” were identified as hotspots and trends of (neurocognitive, neurophysiological, and neuroimaging) modalities in the identification of LBLD.DiscussionEarly predictors of LBLDs would be useful as targets for specific prevention and intervention programs to be implemented at very young ages, which could have a significant clinical impact. A novel finding of neuroimaging predictors combined with neurocognitive and neuropsychological batteries may have implications for future research.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Search Strategymentioning

confidence: 99%

Early predictors in language-based learning disabilities: a bibliometric analysis

Alabbad,

Khan,

Siddique

et al. 2023

Front. Psychiatry

View full text Add to dashboard Cite

show abstract

“…This analysis shows strategic diagrams of evolution and a set of thematic networks. However, in addition, a number of other studies do exist in the bibliometric analysis of computer science research in general [13] and in its sub-fields, such as artificial intelligence [14], cloud computing [15][16], pervasive and ubiquitous computing [17], quantum computing [18] and mobile computing [19][20] etc. This present study is aimed at undertaking a scientometric assessment of the global deep learning research as indexed in Scopus international database covering 2004-17.…”

Section: -1-literature Reviewmentioning

confidence: 99%

Deep Learning Research: Scientometric Assessment of Global Publications Output during 2004 -17

Gupta

Dhawan

2019

Emerg Sci J

View full text Add to dashboard Cite

The paper provides a quantitative and qualitative description of deep learning research using bibliometric indicators covering global research publications published during 14-year period 2004-17. Global deep learning research registered 106.76% high growth per annum, and averaged 7.99 citations per paper. Top 10 countries world- over dominate the research field with their 99.74% global publications share and more than 100% global citations share. China ranks the top with the highest (29.25%) global publications share, followed by USA (26.46%), U.K. (6.40%), etc. during the period. Canada tops in relative citation index (5.30). International collaboration has been a major driver of research in the subject with 14.96% to 53.76% of national-level share of top 10 countries output appeared as international collaborative publications. Computer Science is one of the most popular areas of research in deep learning research (76.85% share). The study identifies top 50 most productive organizations and 50 most productive authors and top 20 most productive journals reporting deep learning research and 118 highly cited papers with 100+ citations per paper.

show abstract

A Comprehensive Review on Edge Computing: Focusing on Mobile Users

Dimou

Iliopoulos

Polytidou

et al. 2022

Advances in Computing, Informatics, Networking and Cybersecurity

View full text Add to dashboard Cite

Mobile Cloud Computing: A Scientometric Assessment of Global Publications Output during 2007-16

Cited by 5 publications

References 0 publications

Early predictors in language-based learning disabilities: a bibliometric analysis

Early predictors in language-based learning disabilities: a bibliometric analysis

Deep Learning Research: Scientometric Assessment of Global Publications Output during 2004 -17

A Comprehensive Review on Edge Computing: Focusing on Mobile Users

Contact Info

Product

Resources

About