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20202025
most citedEfficiency in Digital Economies -- A Primer on Tokenomics

7 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

Benchmarking is Broken -- Don't Let AI be its Own Judge

Zerui Cheng, Stella Wohnig, Ruchika Gupta +13

The meteoric rise of AI, with its rapidly expanding market capitalization, presents both transformative opportunities and critical challenges. Chief among these is the urgent need…

q-fin.TR2025★ 1 cited

Automated Market Makers: A Stochastic Optimization Approach for Profitable Liquidity Concentration

Simon Caspar Zeller, Paul-Niklas Ken Kandora, Daniel Kirste +3

Concentrated liquidity automated market makers (AMMs), such as Uniswap v3, enable liquidity providers (LPs) to earn liquidity rewards by depositing tokens into liquidity pools. How…

q-fin.TR2025★ 4 cited

Automated Market Makers: Toward More Profitable Liquidity Provisioning Strategies

Thanos Drossos, Daniel Kirste, Niclas Kannengießer +1

To trade tokens in cryptoeconomic systems, automated market makers (AMMs) typically rely on liquidity providers (LPs) that deposit tokens in exchange for rewards. To profit from su…

q-fin.TR2023★ 6 cited

Automated Market Makers in Cryptoeconomic Systems: A Taxonomy and Archetypes

Daniel Kirste, Niclas Kannengießer, Ricky Lamberty +1

Designing automated market makers (AMMs) is crucial for decentralized token exchanges in cryptoeconomic systems. At the intersection of software engineering and economics, AMM desi…

cs.CY2020★ 7 cited

Efficiency in Digital Economies -- A Primer on Tokenomics

Ricky Lamberty, Alexander Poddey, David Galindo +3

Cryptographic tokens are a new digital paradigm that can facilitate the establishment of economic incentives in digital ecoystems. Tokens can be leveraged for the coordination, opt…