Machine Learning is an increasingly important technology dealing with the growing
complexity of the digitalised world. Despite the fact, that we live in a 'Big data'world where …

In this comprehensive review we analyze the intellectual structure of the halal food research
based on 290 Web of Science (WoS) core collection documents written by 633 authors from …

With the rapid development of “Internet plus”, medical care has entered the era of big data.
However, there is little research on medical big data (MBD) from the perspectives of …

Global warming is a critical crisis threatening human survival and development. International
organizations and countries worldwide are introducing policies and practices to achieve …

This work aims to provide the first holistic and deep bibliometric mapping and analysis of the
management of plastic waste. Data from the last five years were obtained from a Scopus …

Fraud, corruption, and collusion are the most common types of crime in public procurement
processes; they produce significant monetary losses, inefficiency, and misuse of the public …

Objective The aim of the study was to analyse the literature production on application of
bibliometrics in nursing research. Methods Historical, descriptive, and exploratory …

Study Design. Bibliometric analysis. Objective. This study aims to identify and summarize the
articles related to sacral fracture surgery, to compare the papers from different countries and …

Abstract The International Journal of Fuzzy Systems (IJFS) is an influential journal in the field
of fuzzy systems. In this paper, a bibliometric overview of the IJFS publications downloaded …

Dyslexia is a disorder characterized by an impaired ability to understand written and printed
words or phrases. Epidemiological longitudinal data show that dyslexia is highly prevalent …