On the public citation graph
Blockchain Tokens, Price Volatility, and Active User Base: An Empirical Analysis Based on Tokenomics
0 signed · 31 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.bcra.2022.100069openalex-extracted
Tokenomics and blockchain tokens: A design-oriented morphological framework
inferredcites →https://doi.org/10.1016/j.bcra.2023.100154openalex-extracted
The impact of fundamental factors and sentiments on the valuation of cryptocurrencies
inferredcites →https://doi.org/10.1016/j.econmod.2022.105777openalex-extracted
Is There a Value Premium in Cryptoasset Markets?
inferredcites →https://doi.org/10.1016/j.econmod.2023.106569openalex-extracted
Robust adoption and valuation in tokenomics
inferredcites →https://doi.org/10.1016/j.frl.2021.102628openalex-extracted
Under the hood of the Ethereum blockchain
inferredcites →https://doi.org/10.1016/j.hitech.2021.100416openalex-extracted
Blockchain technology awareness on social media: Insights from twitter analytics
inferredcites →https://doi.org/10.1016/j.infoecopol.2020.100881openalex-extracted
Assets on the blockchain: An empirical study of Tokenomics
inferredcites →https://doi.org/10.1016/j.intfin.2022.101609openalex-extracted
Time horizon and cryptocurrency ownership: Is crypto not speculative?
inferredcites →https://doi.org/10.1016/j.iref.2021.06.007openalex-extracted
Cryptocurrency price volatility and investor attention
inferredcites →https://doi.org/10.1016/j.irfa.2018.09.007openalex-extracted
Playing with your future: Who gambles in defined-contribution pension plans?
inferredcites →https://doi.org/10.1016/j.ribaf.2019.06.004openalex-extracted
An Empirical Investigation of Volatility Dynamics in the Cryptocurrency Market
inferredcites →https://doi.org/10.1016/j.techsoc.2023.102320openalex-extracted
Network effects and store-of-value features in the cryptocurrency market
inferredcites →https://doi.org/10.1016/s0261-5606(00)00048-6openalex-extracted
Unit root tests for panel data
inferredcites →https://doi.org/10.1080/0960085x.2021.1944823openalex-extracted
Becoming a blockchain user: understanding consumers’ benefits realisation to use blockchain-based applications
inferredcites →https://doi.org/10.1093/rfs/hhaa113openalex-extracted
Risks and Returns of Cryptocurrency
inferredcites →https://doi.org/10.1108/978-1-80043-444-820211004openalex-extracted
A New Stage in the Evolution of Cryptocurrency Markets: Analysis by Hurst Method
inferredcites →https://doi.org/10.1140/epjds/s13688-018-0170-8openalex-extracted
Analysis of the Bitcoin blockchain: socio-economic factors behind the adoption
inferredcites →https://doi.org/10.1145/3341105.3373891openalex-extracted
Volatility effect on the adoption and valuation of tokenomics
inferredcites →https://doi.org/10.1257/0002828041464597openalex-extracted
Risk and Volatility: Econometric Models and Financial Practice
inferredcites →https://doi.org/10.1287/mnsc.2023.00566openalex-extracted
Fundamental Pricing of Utility Tokens
inferredcites →https://doi.org/10.1556/2006.5.2016.084openalex-extracted
The conceptual and empirical relationship between gambling, investing, and speculation
inferredcites →https://doi.org/10.2139/ssrn.3077685openalex-extracted
Cryptocurrencies as an Asset Class: An Empirical Assessment
inferredcites →https://doi.org/10.2139/ssrn.3090174openalex-extracted
The Double Spending Problem and Cryptocurrencies
inferredcites →https://doi.org/10.2139/ssrn.3161264openalex-extracted
Long- and Short-Term Cryptocurrency Volatility Components: A GARCH-MIDAS Analysis
inferredcites →https://doi.org/10.2139/ssrn.4359884openalex-extracted
Blockchain Characteristics and the Cross-Section of Cryptocurrency Returns
inferredcites →https://doi.org/10.3390/su14042216openalex-extracted
Predicting User Behaviour Based on the Level of Interactivity Implemented in Blockchain Technologies in Websites and Used Devices
inferredcites →https://doi.org/10.3905/jai.2020.1.105openalex-extracted
Cryptocurrencies As an Asset Class? An Empirical Assessment
inferredcites →https://doi.org/10.48550/arxiv.1802.10117openalex-extracted
Economic Implications of Blockchain Platforms
inferredcites →https://doi.org/10.58661/ijsse.v2i2.34openalex-extracted
Spill-Over Effects of Cryptocurrencies Price Volatilities in Financial Markets: An Empirical Estimation during Global Health Crises
inferredcites →https://doi.org/10.9734/cjast/2023/v42i74077openalex-extracted
Behavioural and Organisational Factors Determining Blockchain Adoption
inferredcites →https://doi.org/10.3390/jrfm11020023openalex-snapshot
Long- and Short-Term Cryptocurrency Volatility Components: A GARCH-MIDAS Analysis
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.