Results 21 to 30 of about 23,753,891 (350)

Bibliometric data as a tool for the analysis of the scientist’s mobility [PDF]

open access: yesAIP Conference Proceedings, 2020
The article covers the bibliometric approach to the analysis of migration of scientists and provides an overview of authors using this approach. In most cases, bibliometric data is accumulated from SCOPUS and Web of Science publications. In some cases, the authors used patents for data collection and data from the PubMed platform.
Sudakova, A. E., Tarasyev, A. A.
openaire   +2 more sources

A Population-Modulated Bibliometric Measure with an Application in the Field of Statistics [PDF]

open access: yes, 2009
We use Confirmatory Factor Analysis (CFA) to derive a unifying measure of comparison of scientists based on bibliometric measurements, by utilizing the h-index, some similar h-type indices as well as other common measures of scientific performance.
Panaretos, John   +2 more
core   +2 more sources

A Survey of Quality Engineering-ManagementJournals by Bibliometric Indicators [PDF]

open access: yes, 2010
This paper analyses some of the most popular scientific journals in the Quality field from the point of view of three bibliometric indicators: the Hirsch (h) index for journals, the total number of citations and the h-spectrum.
Franceschini, Fiorenzo   +1 more
core   +1 more source

On the use of Biplot analysis for multivariate bibliometric and scientific indicators [PDF]

open access: yes, 2012
Bibliometric mapping and visualization techniques represent one of the main pillars in the field of scientometrics. Traditionally, the main methodologies employed for representing data are Multi-Dimensional Scaling, Principal Component Analysis or ...
Robinson-Garcia, Nicolas   +4 more
core   +2 more sources

Big Data in Sports: A Bibliometric and Topic Study

open access: yesBusiness Systems Research Journal, 2022
Abstract Background: The development of the sports industry was impacted by the era of Big Data due to the rapid growth of information technology. Unfortunately, that has become an increasingly challenging Issue. Objectives:
Šuštaršič, Ana   +4 more
openaire   +3 more sources

Big Data in Nursing: A Bibliometric Analysis [PDF]

open access: yesOJIN: The Online Journal of Issues in Nursing, 2021
Big data will have a growing role in nursing scholarship requiring parallel growth in data competencies and literacies to benefit nursing practice, education, and policy. This article offers background information about big data and bibliometric analysis, and describes a study that analyzed published research focused on big data in nursing to evaluate ...
Heather Carter-Templeton   +3 more
openaire   +1 more source

Life-cycle cost analysis (LCCA): Comparing outputs for bibliographic coupling and citation links

open access: yesHeliyon, 2023
The life-cycle cost analysis (LCCA) is an important tool that jointly with the environmental and social life-cycle assessment provides relevant insights into studies about sustainability.
Vítor João Pereira Domingues Martinho
doaj   +1 more source

The Routledge handbook of vocabulary studies: A study in micro-bibliometrics

open access: yesStudies in Second Language Learning and Teaching, 2023
This paper reports a bibliometric analysis of two small data sets: a set of 34 papers that make up The Routledge handbook of vocabulary studies (Webb, 2020) and a set of papers dealing with second language (L2) vocabulary research taken from a single ...
Paul Meara
doaj   +1 more source

Forestry Big Data: A Review and Bibliometric Analysis

open access: yesForests, 2022
Due to improved data collection and processing techniques, forestry surveys are now more efficient and accurate, generating large amounts of forestry data. Forestry Big Data (FBD) has become a critical component of the forestry inventory investigation system.
Wen Gao   +6 more
openaire   +1 more source

The evolution of data science and big data research: A bibliometric analysis [PDF]

open access: yesScientometrics, 2020
AbstractIn this study the evolution of Big Data (BD) and Data Science (DS) literatures and the relationship between the two are analyzed by bibliometric indicators that help establish the course taken by publications on these research areas before and after forming concepts.
Daphne R. Raban, Avishag Gordon
openaire   +1 more source

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