A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis

A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis

<h3>Background</h3><p dir="ltr">Shortly after the emergence of COVID-19, researchers rapidly mobilized to study numerous aspects of the disease such as its evolution, clinical manifestations, effects, treatments, and vaccinations. This led to a rapid increase in the numbe...

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Bibliographic Details
Main Author: Alaa Abd-Alrazaq (17430900) (author)
Other Authors: Jens Schneider (16885948) (author), Borbala Mifsud (3907267) (author), Tanvir Alam (638619) (author), Mowafa Househ (9154124) (author), Mounir Hamdi (14150652) (author), Zubair Shah (231886) (author)
Published: 2021
Subjects:
Biomedical and clinical sciences
Clinical sciences
Information and computing sciences
Machine learning
novel coronavirus disease
COVID-19
SARS-CoV-2
2019-nCoV
bibliometric analysis
literature
machine learning
research
review
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