IoT in manufacturing: A bibliometric analysis of global research trends in computer science from 2013 to 2023

One of the main concerns in computer science today is integrating the Internet of Things (IoT) into manufacturing processes. This trend could influence a country’s strategy and policy development regarding technological infrastructure. However, despite extensive research on the implementation of IoT in manufacturing, no study has yet focused on the growing research interest in this topic. Based on 2487 papers indexed in the Scopus database between 2013 and 2023, this bibliometric review examines current trends and patterns in IoT research in manufacturing. The literature was selected and screened using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Data visualization was created using VOSviewer. The results show a notable increase in research papers centered around IoT in manufacturing. The findings reveal patterns and trends in IoT research publications in the manufacturing sector, author collaboration networks, country collaboration networks, and both established and newly trending topics surrounding IoT in the manufacturing industry.

Authors

Institutions

Publication Details

Journal
Journal of Infrastructure Policy and Development
Published
2024-12-25
DOI
https://doi.org/10.24294/jipd7716
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IoT in manufacturing: A bibliometric analysis of global research trends in computer science from 2013 to 2023

Daniel Lukito, Nico Yonatan Wicaksana, Hermawan Honggo Widagdo, Mikhael Kevin Narendra Jayadharma et al.
1 links
Journal of Infrastructure Policy and Development
Digital Transformation in Industry
article

IoT in manufacturing: A bibliometric analysis of global research trends in computer science from 2013 to 2023

Daniel Lukito, Nico Yonatan Wicaksana, Hermawan Honggo Widagdo, Mikhael Kevin Narendra Jayadharma, Rafi Muhammad Naufal
article en

Abstract

One of the main concerns in computer science today is integrating the Internet of Things (IoT) into manufacturing processes. This trend could influence a country’s strategy and policy development regarding technological infrastructure. However, despite extensive research on the implementation of IoT in manufacturing, no study has yet focused on the growing research interest in this topic. Based on 2487 papers indexed in the Scopus database between 2013 and 2023, this bibliometric review examines current trends and patterns in IoT research in manufacturing. The literature was selected and screened using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Data visualization was created using VOSviewer. The results show a notable increase in research papers centered around IoT in manufacturing. The findings reveal patterns and trends in IoT research publications in the manufacturing sector, author collaboration networks, country collaboration networks, and both established and newly trending topics surrounding IoT in the manufacturing industry.

Journal of Infrastructure Policy and DevelopmentVol. 8(16)
Binus University (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 64%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

IoT in manufacturing: A bibliometric analysis of global research trends in computer science from 2013 to 2023 — Daniel Lukito, Nico Yonatan Wicaksana, et al. · Journal of Infrastructure Policy and Development (2024) | TGRS Research Map | TGRS