Hjalmar Turesson

York University - Schulich School of Business

4700 Keele Street

Toronto, Ontario M3J 1P3

Canada

SCHOLARLY PAPERS

3

DOWNLOADS

478

SSRN CITATIONS

1

CROSSREF CITATIONS

3

Scholarly Papers (3)

1.

Permissionless and Permissioned, Technology-Focused and Business Needs-Driven: Understanding the Hybrid Opportunity in Blockchain through a Case Study of Insolar

KIm, H.M., Turesson, H., Laskowski, M., and Fard Bahreini, A. (2020). "Permissionless and Permissioned, Technology-Focused and Business Needs-Driven: Understanding the Hybrid Opportunity in Blockchain through a Case Study of Insolar," IEEE Transactions on Engineering Management, Forthcoming.
Number of pages: 37 Posted: 23 Jul 2019 Last Revised: 28 May 2020
York University - Schulich School of Business, York University - Schulich School of Business, York University and University of British Columbia (UBC)
Downloads 170 (201,239)

Abstract:

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Blockchain, Hybrid Blockchains, Blockchain Interoperability

2.

Token Economics in Real-Life: Cryptocurrency and Incentives Design for Insolar’s Blockchain Network

Kim, H. M., Laskowski, M., Zargham, M., Barlin, M., Kabanov, D., & Turesson, H. (2020). Token Economics in Real-Life: Cryptocurrency and Incentives Design for Insolar’s Blockchain Network. IEEE Computer. July.
Number of pages: 7 Posted: 16 Oct 2019 Last Revised: 23 Nov 2020
York University - Schulich School of Business, York University, BlockScience, York University - Schulich School of Business, BlockScience and Insolar
Downloads 157 (215,285)
Citation 4

Abstract:

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Token economics, token engineering, cryptocurrency, blockchain, agent-based modelling and simulation

3.

Privacy‐Preserving Blockchain Mining: Sybil-Resistance by Proof‐of‐Useful‐Work

Number of pages: 12 Posted: 23 Jul 2018 Last Revised: 05 Nov 2019
York University - Schulich School of Business, York University, Independent and York University - Schulich School of Business
Downloads 151 (222,391)
Citation 1

Abstract:

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Blockchain, Bitcoin, Consensus Mechanism, Proof of Work, Proof of Useful Work, Deep Learning, Privacy Preserving, Data Mining