Digital Finance

Aims & Scope

The journal is a top-tier peer-reviewed resource for academics and practitioners that publishes high-quality articles with a focus on digital finance and innovation, as well as the analysis of digital and internet innovations in financial services and the economy.

The journal publishes theoretical and empirical, qualitative and quantitative papers of interest to academics, practitioners, and regulators with an emphasis on empirical, financial market, and investment innovations, financial policy research and recommendations related to improving welfare in the digital economy.

Suitable topics include: • Data analytics, innovative techniques or analysis of financial technology data • Theoretical analysis or modeling of innovations in finance • The impacts of financial technology on financial inclusion • Technological advances that could significantly affect the sector • Strategic planning: Design and implementation of financial technology • The role of social networks in financial innovation including smart data analytics • The challenges of providing financial services through technology, including regulation • The impacts of financial technology on the digital economy, including welfare analysis and economic implications

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	12199

Journal Citation Indicator

Year	Value
2024	124

SJR (SCImago Journal Rank)

Year	Value
2024	0.470

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	13

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Economics, Econometrics and Finance, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Sentiment analysis and machine learning in finance: a comparison of methods and models on one million messages

  Citation: 70

  Authors: Thomas

• Artificial intelligence for anti-money laundering: a review and extension

  Citation: 70

  Authors: Jingguang, Yuyun, Sha, Kieran

• Forex exchange rate forecasting using deep recurrent neural networks

  Citation: 66

  Authors: Alexander Jakob, Wolfgang Karl, Stefan, Hsin-Vonn

• The technology of decentralized finance (DeFi)

  Citation: 64

  Authors: Raphael, Bernhard, Stefan, Pietro, Friedhelm

• Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls

  Citation: 54

  Authors: Helmut, Martin

• Cryptocurrency market structure: connecting emotions and economics

  Citation: 50

  Authors: Tomaso

• Price discovery on Bitcoin markets

  Citation: 38

  Authors: Paolo, Thomas

• CATE meets ML

  Citation: 32

  Authors: Daniel

• Green FinTech: sustainability of Bitcoin

  Citation: 27

  Authors: Esra

• Advanced model calibration on bitcoin options

  Citation: 25

  Authors: Dilip B., Sofie, Wim

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