The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Difficulty control for blockchain-based consensus systems
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Citations
Cites
Handbook of Mathematical Functions
McQuarrie, D. A. (1966) · American Journal of Physics · doi:10.1119/1.1972842 · Cited by 40,433
Cramming More Components onto Integrated Circuits (1965)
Moore, G. (2021) · Ideas That Created the Future · doi:10.7551/mitpress/12274.003.0027 · Cited by 6,241
NIST Handbook of Mathematical Functions
Olver, F. W. J., Lozier, D. W., Boisvert, R. F., & Clark, C. W. (2010) · CERN Document Server (European Organization for Nuclear Research) · Cited by 5,206
Blind Signatures for Untraceable Payments
Chaum, D. (1983) · Advances in Cryptology · doi:10.1007/978-1-4757-0602-4_18 · Cited by 3,260
Majority Is Not Enough: Bitcoin Mining Is Vulnerable
Eyal, I., & Sirer, E. G. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-662-45472-5_28 · Cited by 1,375
Information propagation in the Bitcoin network
Decker, C., & Wattenhofer, R. (2013) · IEEE P2P 2013 Proceedings · doi:10.1109/p2p.2013.6688704 · Cited by 1,192
Mastering Bitcoin: Unlocking Digital Crypto-Currencies
Antonopoulos, A. M. (2014) · Cited by 865
Some Statistical Methods Connected with Series of Events
Cox, D. R. (1955) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1955.tb00188.x · Cited by 759
The Ziggurat Method for Generating Random Variables
Marsaglia, G., & Tsang, W. W. (2000) · Journal of Statistical Software · doi:10.18637/jss.v005.i08 · Cited by 568
Analysis of Hashrate-Based Double Spending
Rosenfeld, M. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1402.2009 · Cited by 222
Cited by
An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends
Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017) · 2017 IEEE International Congress on Big Data (BigData Congress) · doi:10.1109/bigdatacongress.2017.85 · Cited by 4,515
Blockchain challenges and opportunities: a survey
Zheng, Z., Xie, S., Dai, H. N., Chen, X., & Wang, H. (2018) · International Journal of Web and Grid Services · doi:10.1504/ijwgs.2018.095647 · Cited by 3,651
Casino, F., Dasaklis, T. K., & Patsakis, C. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2018.11.006 · Cited by 2,557
Bitcoin and beyond: a technical survey on decentralized digital currencies
Tschorsch, F., & Scheuermann, B. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2535718 · Cited by 1,690
A Survey on Security and Privacy Issues of Bitcoin
Conti, M., Sandeep Kumar, E., Lal, C., & Ruj, S. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2842460 · Cited by 1,116
“In [19], authors propose an equation to calculate the new target value for the Bitcoin system.”
Background
Metadata
- Authors
- Kraft, D.
- Venue
- Peer-to-Peer Networking and Applications
- Published
- 2015-04-14
- Volume
- 9
- Issue
- 2
- Pages
- 397-413
- ISSN
- 1936-6442 (ISSN-L)
- 1936-6450
- OpenAlex
- W2092068344
- Cited by
- 306
- References
- 12
- FWCI
- 49.55
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Difficulty control for blockchain-based consensus systems. https://app.cochat.ai/papers/10.1007/s12083-015-0347-x
- The paper
- Kraft, D. (2016). Difficulty control for blockchain-based consensus systems. Peer-to-Peer Networking and Applications. https://doi.org/10.1007/s12083-015-0347-x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
