The Impact of Artificial Intelligence on Economic Development: A Bibliometric Analysis Based on CiteSpace

The article is based on CiteSpace software for bibliometric analysis of the impact of artificial intelligence on economic development.Literature information comes from CNKI Knowledge Network database, identifying the hotspots and characteristics of the research related to artificial intelligence and economic development from the perspective of the number of articles issued, core authors, keywords, etc., and comprehensively analyzing 3,340 pieces of literature during the period from 2013 to 2023.The study shows that the number of published articles on the research on the impact of artificial intelligence on economic development increases year by year, and by 2021, the number of published articles is more than 600.Most authors publish related articles in the range of 3-7 articles, and there are fewer collaborations between authors.There are 16 keywords that appear more than 30 times in the field of the impact of AI on the economy between 2013~2023, which is statistically accounted for the total of 15.41%.The keyword clustering is divided into 7 cluster classes, and the clustering module Q=0.781, S=0.877, which has a high feasibility degree.The keyword with the highest intensity of emergence (3.91) in the field of research on the impact of artificial intelligence on economic development after 2018 is "research and development applications".

Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-03-30
DOI
https://doi.org/10.61091/jcmcc127a-458
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Artificial Intelligence on Economic Development: A Bibliometric Analysis Based on CiteSpace

Journal of Combinatorial Mathematics and Combinatorial Computing
E-commerce and Technology Innovations
article

The Impact of Artificial Intelligence on Economic Development: A Bibliometric Analysis Based on CiteSpace

article en

Abstract

The article is based on CiteSpace software for bibliometric analysis of the impact of artificial intelligence on economic development.Literature information comes from CNKI Knowledge Network database, identifying the hotspots and characteristics of the research related to artificial intelligence and economic development from the perspective of the number of articles issued, core authors, keywords, etc., and comprehensively analyzing 3,340 pieces of literature during the period from 2013 to 2023.The study shows that the number of published articles on the research on the impact of artificial intelligence on economic development increases year by year, and by 2021, the number of published articles is more than 600.Most authors publish related articles in the range of 3-7 articles, and there are fewer collaborations between authors.There are 16 keywords that appear more than 30 times in the field of the impact of AI on the economy between 2013~2023, which is statistically accounted for the total of 15.41%.The keyword clustering is divided into 7 cluster classes, and the clustering module Q=0.781, S=0.877, which has a high feasibility degree.The keyword with the highest intensity of emergence (3.91) in the field of research on the impact of artificial intelligence on economic development after 2018 is "research and development applications".

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127a
Yulin Science and Technology Bureau, Education Department of Shaanxi Province
Decent work and economic growth
Openalex Percentile: Top 85%
E-commerce and Technology Innovations
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.