Results 121 to 130 of about 116,041 (242)

A small step towards the epistemic decentralization of science: A dataset of journals and publications indexed in African Journals Online

open access: yesJournal of Data and Information Science
This paper examines African Journals Online (AJOL) as a bibliometric resource, providing a structured dataset of journal and publication metadata.
Alonso-Álvarez Patricia
doaj   +1 more source

The Google Scholar Revolution: a big data bibliometric tool

open access: yes, 2017
The two faces of Google Scholar Opening the academic Pandora’s Box. Why do we call it a big data bibliometric tool? Drawbacks Google Scholar, Google Scholar Citations, Google Scholar Metrics.
Orduña-Malea, Enrique   +3 more
openaire   +2 more sources

Mapping the Global South Circular Economy: A Bibliometric‐Narrative Analysis

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Although the circular economy (CE) is gaining popularity because of its propensity to optimise the sustainability of resources, few scholars have examined how this field has evolved in the Global South. Using bibliometric‐narrative analysis, our paper maps general and thematic trends of CE in the Global South using micro, meso, and macro level
Dede Iskandar Siregar   +3 more
wiley   +1 more source

Optimization of Lithium‐Ion Battery Circular Economy in Electric Vehicles in Sustainable Supply Chain

open access: yesBattery Energy, Volume 4, Issue 2, March 2025.
Lithium batteries constitute a pivotal component in electric vehicles (EVs) owing to their rechargeability and high‐power output capabilities. ABSTRACT Lithium batteries constitute a pivotal component in electric vehicles (EVs) owing to their rechargeability and high‐power output capabilities.
Mohsen Alizadeh Afroozi   +4 more
wiley   +1 more source

Data, Data Citation, and Bibliometrics

open access: yes, 2016
As scientific data grow in volume, velocity, and variety, they become ever more difficult to manage – whether by individual researchers, teams, libraries, archives, or repositories. Concurrently, researchers are asked to release and to share their data with the wider scientific community and with the public.
openaire   +1 more source

Consumer Behavior Toward Health‐Related Mobile Applications: A Hybrid Review and Future Agenda

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT Mobile health (MH) has the potential to address many consumer challenges, but consumer responses to it remain varied. In this regard, the consumer's perspective on MH is becoming increasingly attractive to academia and business. This review aims to synthesize and analyze 103 studies from 2010 to 2024 using the Scientific Procedures and ...
Omer Faruk Celebi   +3 more
wiley   +1 more source

Revisiting bibliometric issues using new empirical data

open access: yesResearch Evaluation, 2001
Using research funded by the National Health and Medical Research Council of Australia, the classification of the grant that funded the research which led to the publication was contrasted with the use of a common proxy, journal set classification.
openaire   +2 more sources

Echocardiography‐Assisted Stenting of the Ductus Venosus in Infracardiac TAPVC: Report of a New Technique and Review of the Literature

open access: yesCatheterization and Cardiovascular Interventions, EarlyView.
ABSTRACT Neonates with infracardiac total anomalous pulmonary venous connection (TAPVC) frequently require urgent treatment. If surgical repair is contraindicated due to extreme prematurity, interventional stenting of the ductus venosus (DV) has been introduced successfully to postpone surgery.
Simon Schmid   +4 more
wiley   +1 more source

Data cleaning and enrichment through data integration: networking the Italian academia

open access: yesScientific Data
We describe a bibliometric network characterizing co-authorship collaborations in the entire Italian academic community. The network, consisting of 38,220 nodes and 507,050 edges, is built upon two distinct data sources: faculty information provided by ...
Irene Finocchi   +3 more
doaj   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos   +3 more
wiley   +1 more source

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