Global Trends in Data Integration Systems: A Bibliometric and Patent Analysis for 2013–2023

Data Integration Systems (DIS) represent the processes and technologies leveraged to combine data from ‎different sources and formats into a unified and coherent view to provide a complete and coherent data set for ‎analysis and reporting, decision making.‎To evaluate the global trends in DIS‎. We employed both bibliometric and ‎patent analyses. This research investigates the worldwide output of scientific studies and patented innovations ‎in the field of DIS. By examining databases such as Scopus for academic articles and Lens Patents for patent ‎information from 2013 to 2023, and by answering the following questions: What are the main publications and countries that have contributed to the advancement of DIS? What are the emerging trends in patents in this field? and How are collaboration and innovation networks structured on a global scale?. The examination of 1038 articles and 17 patents reveals a ‎continuous spanning growth trend, offering a comprehensive overview of identifying trends in the fields and ‎general cultures in this disciplinary field, understanding gaps in projects and ideas‎, identifying the main actors on ‎DIS‎, Monitoring capturing developments‎ identifying avenues for collaboration, allowing to detect innovative ‎techniques and avoid unnecessary repetition of research work.

Authors

Publication Details

Journal
International Journal of Electronics and Communication Engineering
Published
2024-09-30
DOI
https://doi.org/10.14445/23488549/ijece-v11i9p113
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global Trends in Data Integration Systems: A Bibliometric and Patent Analysis for 2013–2023

Ahmed Laguidi, Samiya Tamtam, Abderafiaa Elkalay
1 links
International Journal of Electronics and Communication Engineering
Data Quality and Management
article

Global Trends in Data Integration Systems: A Bibliometric and Patent Analysis for 2013–2023

Ahmed Laguidi, Samiya Tamtam, Abderafiaa Elkalay
article en

Abstract

Data Integration Systems (DIS) represent the processes and technologies leveraged to combine data from ‎different sources and formats into a unified and coherent view to provide a complete and coherent data set for ‎analysis and reporting, decision making.‎To evaluate the global trends in DIS‎. We employed both bibliometric and ‎patent analyses. This research investigates the worldwide output of scientific studies and patented innovations ‎in the field of DIS. By examining databases such as Scopus for academic articles and Lens Patents for patent ‎information from 2013 to 2023, and by answering the following questions: What are the main publications and countries that have contributed to the advancement of DIS? What are the emerging trends in patents in this field? and How are collaboration and innovation networks structured on a global scale?. The examination of 1038 articles and 17 patents reveals a ‎continuous spanning growth trend, offering a comprehensive overview of identifying trends in the fields and ‎general cultures in this disciplinary field, understanding gaps in projects and ideas‎, identifying the main actors on ‎DIS‎, Monitoring capturing developments‎ identifying avenues for collaboration, allowing to detect innovative ‎techniques and avoid unnecessary repetition of research work.

International Journal of Electronics and Communication EngineeringVol. 11(9)
Openalex Percentile: Top 79%
Data Quality and Management
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.