A Comparative Analysis of the Performance of Leading Countries in Conducting Artificial Intelligence Research

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Human Behavior and Emerging Technologies Pub Date : 2024-09-12 DOI:10.1155/2024/1689353
Ahmed H. Al-Marzouqi, Alya A. Arabi
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Abstract

Artificial intelligence (AI) is a rapidly expanding field. Given the dynamic nature of AI research, staying up-to-date with this evolving landscape is imperative to guide the global race in this field. Using the world’s largest bibliometric database (SciVal/Scopus), we analyzed the research output of the top 15 countries in AI research productivity between the years 1998 and 2022. Over the past 25 years, the global research output in AI has increased by 26 folds, with China leading the way in the overall number of AI publications (~281,650 articles). During this period, China and India had the highest fold growth (~240–250) and compound annual growth rate (CAGR) (~25). However, when normalized to population size and gross domestic product (GDP), Singapore (250 AI publications per million capita) and India (7.7 AI publications per billion GDP) were the best performers in 2022, respectively. When normalized to the number of researchers and gross expenditures on research and development (GERD), again, India was the best with 36.8 AI publications per thousand researchers and 0.77 AI publications per million GERD in 2020. When the overall quality of AI publications over the past decade was considered, Hong Kong and Singapore performed the best with respect to publications in higher percentile journals (the top 1%, 5%, and 10% journals), and Switzerland performed the best with respect to citations/publication and field-weighted citation impact (FWCI). Finally, when the quality measures of publications were normalized to country or research metrics, the three best performers were Hong Kong, Singapore, and Switzerland (although India stood out for citations/GERD). These three countries (along with the United States) also had the highest economic impact as measured by the patent citations per scholarly output, which was aligned with the high FWCI values for these countries. Long-term strategies to help leading countries gain an advantage in the AI frontier have been discussed at the end of the manuscript. These strategies include government initiatives and financial support, talent creation and networking, public awareness, and mindful considerations of rules, guidelines, and ethics.

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主要国家在开展人工智能研究方面的绩效比较分析
人工智能(AI)是一个快速发展的领域。鉴于人工智能研究的动态性质,要引导这一领域的全球竞赛,就必须跟上这一不断发展的形势。利用世界上最大的文献计量数据库(SciVal/Scopus),我们分析了 1998 年至 2022 年间人工智能研究产量排名前 15 位的国家的研究成果。在过去的 25 年中,全球人工智能研究成果增长了 26 倍,其中中国的人工智能论文总数(约 281650 篇)遥遥领先。在此期间,中国和印度的增长倍数(约 240-250 倍)和复合年增长率(约 25 倍)最高。然而,如果按照人口规模和国内生产总值(GDP)进行归一化处理,新加坡(每百万人均 250 篇人工智能论文)和印度(每十亿 GDP 7.7 篇人工智能论文)分别是 2022 年表现最好的国家。如果与研究人员数量和研发总支出(GERD)挂钩,印度的表现同样最好,2020 年每千名研究人员有 36.8 篇人工智能出版物,每百万 GERD 有 0.77 篇人工智能出版物。如果考虑到过去十年人工智能出版物的整体质量,香港和新加坡在高百分位数期刊(排名前 1%、5% 和 10%的期刊)上的出版物质量最好,瑞士在引文/出版物和领域加权引文影响(FWCI)方面的质量最好。最后,如果将出版物的质量衡量标准标准化为国家或研究指标,则表现最好的三个国家分别是香港、新加坡和瑞士(尽管印度在引文/GERD 方面表现突出)。这三个国家(连同美国)的经济影响力也是最高的,其衡量标准是每项学术成果的专利引用率,这与这些国家的 FWCI 高值是一致的。手稿末尾讨论了帮助领先国家在人工智能前沿领域获得优势的长期战略。这些战略包括政府举措和财政支持、人才培养和网络建设、公众意识以及对规则、准则和道德的审慎考虑。
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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