Choosing the best socioeconomic nutrients for the best trees: a discussion about the distribution of Portuguese Trees of Public Interest

Mourão, Paulo Reis; Martinho, Vítor João Pereira Domingues

doi:10.1007/s10668-020-00858-z

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…Over a period, social science research has witnessed much bibliometric research in all disciplines using bibliometric programmes (Aria & Cuccurullo 2017 ; Ellegaard & Wallin 2015 ). The relevance of bibliometric analysis highlights the development trajectory and the scientific research tendencies in a particular research field (Mourao & Martinho 2021 ). Besides, bibliometrics provides a structural analysis of the past literature over a period, identifies the shifts in the boundaries of disciplines and detects the most prolific scholars and institutions (Crane 1972 ).…”

Section: Methodsmentioning

confidence: 99%

Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis

2023

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This paper surveys the extant literature on machine learning, artificial intelligence, and deep learning mechanisms within the financial sphere using bibliometric methods. We considered the conceptual and social structure of publications in ML, AI, and DL in finance to better understand the research’s status, development, and growth. The study finds an upsurge in publication trends within this research arena, with a bit of concentration around the financial domain. The institutional contributions from USA and China constitute much of the literature on applying ML and AI in finance. Our analysis identifies emerging research themes, with the most futuristic being ESG scoring using ML and AI. However, we find there is a lack of empirical academic research with a critical appraisal of these algorithmic-based advanced automated financial technologies. There are severe pitfalls in the prediction process using ML and AI due to algorithmic biases, mostly in the areas of insurance, credit scoring and mortgages. Thus, this study indicates the next evolution of ML and DL archetypes in the economic sphere and the need for a strategic turnaround in academics regarding these forces of disruption and innovation that are shaping the future of finance.

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Section: Methodsmentioning

confidence: 99%

Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis

2023

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“…As presented in the Introduction, bibliometrics is used to highlight the development trajectory and characteristics of a particular research field (Mourao and Martinho 2020 ). This paper used the bibliometric analysis method to evaluate the development of FinTech documents from the following aspects: (1) start with the types and annual publications with significant indexes (such as numbers and rates), the distribution among different countries/regions, and important branches.…”

Section: Methodsmentioning

confidence: 99%

Insights into financial technology (FinTech): a bibliometric and visual study

Zhang

2021

Financ Innov

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This paper conducted a comprehensive analysis based on bibliometrics and science mapping analysis. First, 848 publications were obtained from Web of Science. Their fundamental characteristics were analyzed, including the types, annual publications, hot research directions, and foci (by theme analysis, co-occurrence analysis, and timeline analysis of author keywords). Next, the prolific objects (at the level of countries/regions, institutions, journals, and authors) and corresponding pivotal cooperative relationship networks were used to highlight who pays attention to FinTech. Furthermore, the citation structures of authors and journals were investigated, including citation and co-citation. Additionally, this paper presents the burst detection analysis of cited authors, journals, and references. Finally, combining the analysis results with the current financial environment, the challenges and future development opportunities are discussed further. Accordingly, a comprehensive study of the FinTech documents not only reviews the current research characteristics and trajectories but also helps scholars find the appropriate research entry point and conduct in-depth research.

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A Bibliometric Study and Science Mapping Research of Intelligent Decision

Zhang

Hong

et al. 2022

Cogn Comput

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Choosing the best socioeconomic nutrients for the best trees: a discussion about the distribution of Portuguese Trees of Public Interest

Cited by 6 publications

References 30 publications

Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis

Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis

Insights into financial technology (FinTech): a bibliometric and visual study

A Bibliometric Study and Science Mapping Research of Intelligent Decision

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