Enhanced Gravity Model of trade: reconciling macroeconomic and network models A Almog, R Bird, D Garlaschelli arXiv preprint arXiv:1506.00348, 2017 | 63 | 2017 |
Structural entropy: monitoring correlation-based networks over time with application to financial markets A Almog, E Shmueli Scientific reports 9 (1), 10832, 2019 | 58 | 2019 |
Evidence for weakened intercellular coupling in the mammalian circadian clock under long photoperiod MR Buijink, A Almog, CB Wit, O Roethler, AHO Olde Engberink, JH Meijer, ... PLoS One 11 (12), e0168954, 2016 | 56 | 2016 |
Enhanced capital-asset pricing model for the reconstruction of bipartite financial networks T Squartini, A Almog, G Caldarelli, I Van Lelyveld, D Garlaschelli, ... Physical Review E 96 (3), 032315, 2017 | 46 | 2017 |
A GDP-driven model for the binary and weighted structure of the International Trade Network A Almog, T Squartini, D Garlaschelli New Journal of Physics 17 (1), 013009, 2015 | 44 | 2015 |
Aging affects the capacity of photoperiodic adaptation downstream from the central molecular clock MR Buijink, AHO Olde Engberink, CB Wit, A Almog, JH Meijer, ... Journal of Biological Rhythms 35 (2), 167-179, 2020 | 26 | 2020 |
Uncovering functional signature in neural systems via random matrix theory A Almog, MR Buijink, O Roethler, S Michel, JH Meijer, JHT Rohling, ... PLoS computational biology 15 (5), e1006934, 2019 | 22 | 2019 |
The double role of GDP in shaping the structure of the International Trade Network A Almog, T Squartini, D Garlaschelli International Journal of Computational Economics and Econometrics …, 2015 | 20 | 2015 |
Mesoscopic community structure of financial markets revealed by price and sign fluctuations A Almog, F Besamusca, M MacMahon, D Garlaschelli PloS one 10 (7), e0133679, 2015 | 15 | 2015 |
Binary versus non-binary information in real time series: empirical results and maximum-entropy matrix models A Almog, D Garlaschelli New journal of physics 16 (9), 093015, 2014 | 13 | 2014 |
Enhanced capital-asset pricing model for bipartite financial networks reconstruction T Squartini, A Almog, G Caldarelli, IV Lelyveld, D Garlaschelli, G Cimini arXiv preprint arXiv:1606.07684, 2017 | 5 | 2017 |
Uncovering functional brain signature via random matrix theory A Almog, O Roethler, R Buijink, S Michel, JH Meijer, JHT Rohling, ... arXiv preprint arXiv:1708.07046, 2017 | 2 | 2017 |
Uncovering hidden functional brain organization by random matrix theory A Almog, O Roethler, R Buijink, S Michel, JH Meijer, JHT Rohling, ... arXiv preprint arXiv:1708.07046, 2017 | 2 | 2017 |
three AHOO Engberink, MR Buijink, CB Wit, A Almog, JH Meijer, JHT Rohling, ... HO (2022, une 30) 35, 51, 2020 | | 2020 |
Maximum entropy models for financial systems A Almog Nature 423, 267, 2003 | | 2003 |