| The memory remains: Understanding collective memory in the digital age R García-Gavilanes, A Mollgaard, M Tsvetkova, T Yasseri Science Advances 3 (4), e1602368, 2017 | 113 | 2017 |
| Complex Langevin dynamics for chiral random matrix theory A Mollgaard, K Splittorff Physical Review D 88 (11), 116007, 2013 | 104 | 2013 |
| Phone-based metric as a predictor for basic personality traits B Mønsted, A Mollgaard, J Mathiesen Journal of Research in Personality 74, 16-22, 2018 | 88 | 2018 |
| An alternative approach to the limits of predictability in human mobility EL Ikanovic, A Mollgaard EPJ Data Science 6 (1), 12, 2017 | 46 | 2017 |
| Full simulation of chiral random matrix theory at nonzero chemical potential by complex Langevin A Mollgaard, K Splittorff Physical Review D 91 (3), 036007, 2015 | 46 | 2015 |
| Measure of node similarity in multilayer networks A Mollgaard, I Zettler, J Dammeyer, MH Jensen, S Lehmann, J Mathiesen PloS one 11 (6), e0157436, 2016 | 34 | 2016 |
| Emergent user behavior on Twitter modelled by a stochastic differential equation A Mollgaard, J Mathiesen PloS one 10 (5), e0123876, 2015 | 16 | 2015 |
| Correlations between human mobility and social interaction reveal general activity patterns A Mollgaard, S Lehmann, J Mathiesen PloS one 12 (12), e0188973, 2017 | 13* | 2017 |
| The dynamics of initiative in communication networks A Mollgaard, J Mathiesen PloS one 11 (4), e0154442, 2016 | 4 | 2016 |
Sune LehmannProfessor, DTU Compute, Technical University of Denmark and Center for Social Data ScienceVerified email at dtu.dk
