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Craig Steven Wright

Personal Details

First Name:Craig
Middle Name:Steven
Last Name:Wright
Suffix:
RePEc Short-ID:pwr53
[This author has chosen not to make the email address public]

Affiliation

Business School
University of Exeter

Exeter, United Kingdom
http://business-school.exeter.ac.uk/
RePEc:edi:deexeuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Marco Alberto Javarone & Craig Steven Wright, 2018. "From Bitcoin to Bitcoin Cash: a network analysis," Papers 1804.02350, arXiv.org, revised Jul 2018.

Articles

  1. Liuxuan Pan & Owen Vaughan & Craig Steven Wright, 2023. "A Private and Efficient Triple-Entry Accounting Protocol on Bitcoin," JRFM, MDPI, vol. 16(9), pages 1-9, September.
  2. Torje Vingen Sunde & Craig S. Wright, 2023. "Implementing Triple Entry Accounting as an Audit Tool—An Extension to Modern Accounting Systems," JRFM, MDPI, vol. 16(11), pages 1-16, November.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Marco Alberto Javarone & Craig Steven Wright, 2018. "From Bitcoin to Bitcoin Cash: a network analysis," Papers 1804.02350, arXiv.org, revised Jul 2018.

    Cited by:

    1. Kong, Xiaolin & Ma, Chaoqun & Ren, Yi-Shuai & Baltas, Konstantinos & Narayan, Seema, 2024. "A comparative analysis of the price explosiveness in Bitcoin and forked coins," Finance Research Letters, Elsevier, vol. 61(C).
    2. Chengyi Tu & Paolo DOdorico & Samir Suweis, 2018. "Critical slowing down associated with critical transition and risk of collapse in cryptocurrency," Papers 1806.08386, arXiv.org, revised Nov 2019.
    3. Laura Alessandretti & Abeer ElBahrawy & Luca Maria Aiello & Andrea Baronchelli, 2018. "Anticipating cryptocurrency prices using machine learning," Papers 1805.08550, arXiv.org, revised Nov 2018.
    4. Higor Y. D. Sigaki & Matjaz Perc & Haroldo V. Ribeiro, 2019. "Clustering patterns in efficiency and the coming-of-age of the cryptocurrency market," Papers 1901.04967, arXiv.org.
    5. Lin, Jian-Hong & Marchese, Emiliano & Tessone, Claudio J. & Squartini, Tiziano, 2022. "The weighted Bitcoin Lightning Network," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    6. A. Mikhailov Yu. & А. Михайлов Ю., 2020. "Развитие рынка криптовалют: метод Херста // Cryptocurrency Market Development: Hurst Method," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 24(3), pages 81-91.
    7. Laura Alessandretti & Abeer ElBahrawy & Luca Maria Aiello & Andrea Baronchelli, 2018. "Anticipating Cryptocurrency Prices Using Machine Learning," Complexity, Hindawi, vol. 2018, pages 1-16, November.

Articles

  1. Liuxuan Pan & Owen Vaughan & Craig Steven Wright, 2023. "A Private and Efficient Triple-Entry Accounting Protocol on Bitcoin," JRFM, MDPI, vol. 16(9), pages 1-9, September.

    Cited by:

    1. Georgiana-Iulia LAZEA (TRIFA) & Ovidiu-Constantin BUNGET & Anca-Diana BALAN & Mircea Stefan SOLOVASTRU, 2025. "Navigating Auditing Risks in the Crypto Asset Landscape," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 23(177), pages 197-209, February.

  2. Torje Vingen Sunde & Craig S. Wright, 2023. "Implementing Triple Entry Accounting as an Audit Tool—An Extension to Modern Accounting Systems," JRFM, MDPI, vol. 16(11), pages 1-16, November.

    Cited by:

    1. DONÈšU Adelina - Nicoleta, 2024. "Blockchain Technologyand The Accounting Profession.A Structured Literature Review.," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(26), pages 1-1.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-PAY: Payment Systems and Financial Technology (1) 2018-04-23. Author is listed

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