Comparative study on structure and correlation among author co-occurrence networks in bibliometrics

Qiu, Junping; Dong, Ke; Yu, Houqiang

doi:10.1007/s11192-014-1315-6

Cited by 45 publications

(18 citation statements)

References 57 publications

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“…Following, four relational networks were constructed: co-citation, article citation, co--authorship, and keyword. According to Qiu et al (2014), author-level is importantly dominated at aggregation levels, because, for journals, institutions and countries, every type of network is formed through authors' academic relations such as collaboration or citation among authors. Paper citation network represents groups working with each other having thematic affinity (CARVALHO et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

A bibliometric study on SCRUM approach: patterns, trends and gaps

Bonassa¹,

Carvalho²

2016

GEPROS

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After Agile Manifesto success in the software development arena, the literature on Agile methods, particularly SCRUM has increased. This study aims to present a systematic literature review of SCRUM literature, identifying the main evolution patterns, trends, and gaps. The research methods combine the bibliometric approach with content analysis. The results show that despite the increase interesting on agile methods, SCRUM utilization is decreasing and/or being replaced by another project management method and it face so strong barriers to expanding in other sectors than software. The main advantages of applying SCRUM pointed out in the review are increase customer satisfaction at the same time that reduced associated costs and development time.

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Section: Discussionmentioning

confidence: 99%

A bibliometric study on SCRUM approach: patterns, trends and gaps

Bonassa¹,

Carvalho²

2016

GEPROS

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“…This paper mainly adopts the method of bibliometrics. Bibliometrics refers to the quantitative analysis and management of literature information by mathematical and statistical methods, and then discusses its structure, characteristics and laws [24]. This study mainly uses HistCite, CiteSpace and MS Excel to visually analyze the relevant literature in the field of smart health research based on IoT.…”

Section: Research Methods and Toolsmentioning

confidence: 99%

Exploring emerging IoT technologies in smart health research: a knowledge graph analysis

Yang

Wang

et al. 2020

BMC Med Inform Decis Mak

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Background At present, Internet of Things technology has been widely used in various fields, and smart health is also one of its important application areas. Methods We use the core collection of Web of Science as a data source, using tools such as CiteSpace and bibliometric methods to visually analyze 9561 articles published in the field of smart health research based on the Internet of things (IoT) in 2003–2019, including time distribution, spatial distribution, and literature co-citation analysis and keyword analysis. Results The field of smart health research based on IoT has developed rapidly since 2014, but has not yet formed a stable network of authors and institutions. In addition, the knowledge base in this field has been initially formed, and most of the published literatures are multi-theme research. Conclusions This study discusses the research status, research hotspots and future development trends in this field, and provides important knowledge support for subsequent research.

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“…Collaborative network analysis has been employed to study relationships between authors and organisations in many different disciplines [Kumar and Jan (2013); Qiu et al (2014)]. In the case of health, there are studies in which data about collaboration comes from academic papers [Catalá-López et al (2014); Andersen et al (2015)], whilst in other studies these come from website inter-linkages [Barreto Lang et al (2013)].…”

Section: Methodsmentioning

confidence: 99%

Analyzing Funding Patterns and Their Evolution in Two Medical Research Topics

de‐Miguel‐Molina

Cunningham

Palop

2017

Int. J. Innovation Technol. Management

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This paper analyzes funding patterns and their evolution in two medical research topics: breast cancer and ovarian cancer, taking into account cross-agency and cross-national co-funding. A bibliometric analysis of 355[Formula: see text]463 papers from PubMed (273[Formula: see text]526 on breast cancer and 81[Formula: see text]937 on ovarian cancer) brought back 91 funding agencies involved in breast cancer and 65 in ovarian cancer. Additionally, the paper examined the evolution of medical subject headings (MESH) funded by agencies. An analysis of patterns in funding, co-funding, MESH, and their evolution, was carried out using social network analysis (SNA) methodology. The results show the importance of the National Cancer Institute (NCI) in both breast and ovarian cancer. The NCI achieves its policy goals by co-funding its programs with both national and cross-national agencies. Moreover, the MESH agencies co-funded in the two years studied coincided; however, it must be said that the number of agencies which participated in research funding also increased.

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Comparative study on structure and correlation among author co-occurrence networks in bibliometrics

Cited by 45 publications

References 57 publications

A bibliometric study on SCRUM approach: patterns, trends and gaps

A bibliometric study on SCRUM approach: patterns, trends and gaps

Exploring emerging IoT technologies in smart health research: a knowledge graph analysis

Analyzing Funding Patterns and Their Evolution in Two Medical Research Topics

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