ReviewF1000Research2024
What we know and what should we know about the future of blockchain in finance.
Review in F1000Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Big data in financial risk management: evidence, advances, and open questions: a systematic review.Frontiers in artificial intelligence · 2025Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: In response to the transformative impact of blockchain technology on economic and financial landscapes, there is a critical need for a review study that analyses the knowledge landscape from diverse perspectives. Methods: This research VOSviewer, and Bibliometrix to undertake a bibliometric analysis of the expanding literature related to blockchain technology within the financial sector. Through a examination of 500 published articles, the study identifies insightful trends, patterns, and emerging domains on a global scale. Results: The findings highlight the advancing trajectory of blockchain research in finance, with a notable concentration of studies originating from the United States and China, both in terms of total publications and citations. Key thematic clusters identified include "smart contracts," "financial institutions," "initial coin offerings," and "big data analytics." Intersections with financial risk management, digital transformation, and the integration of big data analytics with artificial intelligence and machine learning are particularly noteworthy, marking focal points of exploration. Conclusions: While affirming the potential of blockchain, the analysis also sheds light on persistent impediments hindering its widespread adoption and utilization. This study not only contributes to the current understanding of blockchain in finance but also serves as a valuable resource for future researchers. It guides systematic reviews by pinpointing prominent journals and influential authors within the dynamic field of blockchain finance, thereby fostering a deeper understanding and facilitating further exploration in this evolving field.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.