| The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy D Garcia, CJ Tessone, P Mavrodiev, N Perony Journal of the royal society interface 11 (99), 20140623, 2014 | 635 | 2014 |
| Social resilience in online communities: The autopsy of friendster D Garcia, P Mavrodiev, F Schweitzer Proceedings of the first ACM conference on Online social networks, 39-50, 2013 | 202 | 2013 |
| From Aristotle to Ringelmann: a large-scale analysis of team productivity and coordination in Open Source Software projects I Scholtes, P Mavrodiev, F Schweitzer Empirical Software Engineering 21 (2), 642-683, 2016 | 97 | 2016 |
| Understanding popularity, reputation, and social influence in the Twitter society D Garcia, P Mavrodiev, D Casati, F Schweitzer Policy & Internet 9 (3), 343-364, 2017 | 90 | 2017 |
| Quantifying the effects of social influence P Mavrodiev, CJ Tessone, F Schweitzer Scientific reports 3 (1), 1360, 2013 | 84 | 2013 |
| Quantifying the impact of leveraging and diversification on systemic risk P Tasca, P Mavrodiev, F Schweitzer Journal of Financial Stability 15, 43-52, 2014 | 47 | 2014 |
| Effects of social influence on the wisdom of crowds P Mavrodiev, CJ Tessone, F Schweitzer arXiv preprint arXiv:1204.3463, 2012 | 42 | 2012 |
| How can social herding enhance cooperation? F Schweitzer, P Mavrodiev, CJ Tessone Advances in Complex Systems 16 (04n05), 1350017, 2013 | 23 | 2013 |
| The ambigous role of social influence on the wisdom of crowds: An analytic approach P Mavrodiev, F Schweitzer Physica A: Statistical Mechanics and its Applications 567, 125624, 2021 | 20 | 2021 |
| Enhanced or distorted wisdom of crowds? An agent-based model of opinion formation under social influence P Mavrodiev, F Schweitzer Swarm Intelligence 15 (1), 31-46, 2021 | 12 | 2021 |
| Modeling user reputation in online social networks: The role of costs, benefits, and reciprocity F Schweitzer, P Mavrodiev, AM Seufert, D Garcia Entropy 22 (10), 1073, 2020 | 11 | 2020 |
| Quantifying individual influence in leading-following behavior of Bechstein’s bats P Mavrodiev, D Fleischmann, G Kerth, F Schweitzer Scientific Reports 11 (1), 2691, 2021 | 8 | 2021 |
| Big data= big insights? operationalising brooks' law in a massive GitHub data set C Gote, P Mavrodiev, F Schweitzer, I Scholtes Proceedings of the 44th International Conference on Software Engineering …, 2022 | 3 | 2022 |
| Data-driven modeling of leading-following behavior in Bechstein’s bats P Mavrodiev, D Fleischmann, G Kerth, F Schweitzer bioRxiv, 843938, 2019 | 3 | 2019 |
| The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy P Mavrodiev, D Garcia, CJ Tessone, N Perony | 1 | 2014 |
| The digital traces of bubbles: feedback cycles between D Garcia, CJ Tessone, P Mavrodiev, N Perony Journal of the Royal Society Interface 11, 2014 | 1 | 2014 |
| Enhanced or distorted wisdom of crowds? An agent-based model of opinion formation under social influence P Mavrodiev, F Schweitzer arXiv preprint arXiv:2008.10423, 2020 | | 2020 |
| Decisions and their unintended consequences P Mavrodiev ETH Zurich, 2014 | | 2014 |
| Quantifying the Impact of Leveraging and Diversification on Systemic Risk P Mavrodiev, P Tasca, F Schweitzer ETH Risk Center, 2013 | | 2013 |
