Current Status of Systemic Drug Delivery Research: A Bibliometric Study

Ebrahim, Saba Ale; Pedram, Maysam Zamani; Ebrahim, Nader Ale

doi:10.1007/978-3-030-54490-4_2

Cited by 2 publications

(3 citation statements)

References 26 publications

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“…Ale Ebrahim S et al [11] have used a bibliographic method to study the research trend in drug delivery. The data has been sourced from SCOPUS to examine the research trend for almost 45 years till 2019.…”

Section: Related Workmentioning

confidence: 99%

Big Data in Healthcare - A Comprehensive Bibliometric Analysis of Current Research Trends

Reshi,

Shah,

Shafi

et al. 2023

SCPE

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The primary purpose of this study is to perform a comprehensive bibliometric analysis of research landscape of big data in healthcare. Big data as a significant technology used in healthcare during the past decade has led to the exponential growth in scientific literature. This study is focused on analysis of many crucial bibliometric indicators such as, overall research output, author productivity, institutional productivity, country wise productivity, collaboration analysis, research trends along with a thematic focus of research output in big data and healthcare. The analysis has been performed on 2294 research articles published in 1018 publication sources from SCOPUS and Web of Science databases. The initial results of the study performed from year 2012 reveals that in the first year 6 research articles were published in the given domain. Then every year the growth of published articles in the field was exponential, however years 2019 to 2021 were the most productive and incremental in terms of number of publications. The analysis results of the study present the performance analysis of research production in terms of annual scientific production, most globally cited articles, author’s production over the time, most productive countries, and most relevant affiliations. In addition, the science mapping analysis including the indicators such as, keyword Co-occurrence, Thematic Mapping, Most Relevant Authors, annual source distribution, and collaboration Network analysis has been presented. The study delivers expedient contribution to the field of study by noticeably offering comprehensive analysis results regarding research hotspots and trends, thematic emphasis, and future direction of research in the field. These outcomes will aid researchers in big data and healthcare in planning and designing the research and the challenges and opportunities needed to be explored.

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Section: Related Workmentioning

confidence: 99%

Big Data in Healthcare - A Comprehensive Bibliometric Analysis of Current Research Trends

Reshi,

Shah,

Shafi

et al. 2023

SCPE

View full text Add to dashboard Cite

show abstract

“…10 There are many bibliometric analysis works focused on different fields of research including toxicology and industrial health, 11 chronic obstructive pulmonary disease, 12 medical data mining research, 13 drug delivery. 14 At the same time, there are also some reviews on the medical image segmentation field such as 3D medical image segmentation, 15 current methods in medical image segmentation, 1 automated medical image segmentation techniques, 16 medical image segmentation on graphics processing units (GPUs), 9 medical image segmentation applied to the female pelvic cavity research, 17 fetal ultrasound image segmentation, 18 and genetic‐based medical image segmentation. 19 However, some reviews on medical image segmentation only studied a special category of segmentation algorithm, 9 , 17 , 19 and most of them had been published for a long time, so they cannot grasp the research trends and hotspots in this field.…”

Section: Introductionmentioning

confidence: 99%

“…Bibliometric refers to the interdisciplinary study of quantitative analysis of all knowledge carriers by means of mathematics and statistics 10 . There are many bibliometric analysis works focused on different fields of research including toxicology and industrial health, 11 chronic obstructive pulmonary disease, 12 medical data mining research, 13 drug delivery 14 . At the same time, there are also some reviews on the medical image segmentation field such as 3D medical image segmentation, 15 current methods in medical image segmentation, 1 automated medical image segmentation techniques, 16 medical image segmentation on graphics processing units (GPUs), 9 medical image segmentation applied to the female pelvic cavity research, 17 fetal ultrasound image segmentation, 18 and genetic‐based medical image segmentation 19 .…”

Section: Introductionmentioning

confidence: 99%

A bibliometric of publication trends in medical image segmentation: Quantitative and qualitative analysis

Zhang

Rahmatullah

Wang

et al. 2021

J Applied Clin Med Phys

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Medical images are important in diagnosing disease and treatment planning.Computer algorithms that describe anatomical structures that highlight regions of interest and remove unnecessary information are collectively known as medical image segmentation algorithms. The quality of these algorithms will directly affect the performance of the following processing steps. There are many studies about the algorithms of medical image segmentation and their applications, but none involved a bibliometric of medical image segmentation. Methods: This bibliometric work investigated the academic publication trends in medical image segmentation technology. These data were collected from the Web of Science (WoS) Core Collection and the Scopus. In the quantitative analysis stage, important visual maps were produced to show publication trends from five different perspectives including annual publications, countries, top authors, publication sources, and keywords. In the qualitative analysis stage, the frequently used methods and research trends in the medical image segmentation field were analyzed from 49 publications with the top annual citation rates. Results: The analysis results showed that the number of publications had increased rapidly by year. The top related countries include the Chinese mainland, the United States, and India. Most of these publications were conference papers, besides there are also some top journals. The research hotspot in this field was deep learning-based medical image segmentation algorithms based on keyword analysis. These publications were divided into three categories: reviews, segmentation algorithm publications, and other relevant publications. Among these three categories, segmentation algorithm publications occupied the vast majority, and deep learning neural network-based algorithm was the research hotspots and frontiers. Conclusions: Through this bibliometric research work, the research hotspot in the medical image segmentation field is uncovered and can point to future research in the field. It can be expected that more researchers will focus their work on deep learning neural network-based medical image segmentation.

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Current Status of Systemic Drug Delivery Research: A Bibliometric Study

Cited by 2 publications

References 26 publications

Big Data in Healthcare - A Comprehensive Bibliometric Analysis of Current Research Trends

Big Data in Healthcare - A Comprehensive Bibliometric Analysis of Current Research Trends

A bibliometric of publication trends in medical image segmentation: Quantitative and qualitative analysis

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