Quantifying trading behavior in financial markets using Google Trends T Preis, HS Moat, HE Stanley Scientific reports 3 (1), 1-6, 2013 | 1341 | 2013 |
GPU accelerated Monte Carlo simulation of the 2D and 3D Ising model T Preis, P Virnau, W Paul, JJ Schneider Journal of Computational Physics 228 (12), 4468-4477, 2009 | 464 | 2009 |
Complex dynamics of our economic life on different scales: insights from search engine query data T Preis, D Reith, HE Stanley Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2010 | 422 | 2010 |
Quantifying Wikipedia Usage Patterns Before Stock Market Moves HS Moat, C Curme, A Avakian, DY Kenett, HE Stanley, T Preis Scientific reports 3 (1), 1801, 2013 | 417 | 2013 |
Quantifying the advantage of looking forward T Preis, HS Moat, HE Stanley, SR Bishop Scientific reports 2 (1), 350, 2012 | 254 | 2012 |
Quantifying the behavior of stock correlations under market stress T Preis, DY Kenett, HE Stanley, D Helbing, E Ben-Jacob Scientific reports 2 (1), 752, 2012 | 246 | 2012 |
Quantifying the semantics of search behavior before stock market moves C Curme, T Preis, HE Stanley, HS Moat Proceedings of the National Academy of Sciences 111 (32), 11600-11605, 2014 | 230 | 2014 |
Quantifying the relationship between financial news and the stock market M Alanyali, HS Moat, T Preis Scientific reports 3 (1), 3578, 2013 | 227 | 2013 |
The advantage of short paper titles A Letchford, HS Moat, T Preis Royal Society open science 2 (8), 150266, 2015 | 197 | 2015 |
Linking agent-based models and stochastic models of financial markets L Feng, B Li, B Podobnik, T Preis, HE Stanley Proceedings of the National Academy of Sciences 109 (22), 8388-8393, 2012 | 182 | 2012 |
Quantifying crowd size with mobile phone and Twitter data F Botta, HS Moat, T Preis Royal Society open science 2 (5), 150162, 2015 | 177 | 2015 |
Switching processes in financial markets T Preis, JJ Schneider, HE Stanley Proceedings of the National Academy of Sciences 108 (19), 7674-7678, 2011 | 168 | 2011 |
Using deep learning to quantify the beauty of outdoor places CI Seresinhe, T Preis, HS Moat Royal Society open science 4 (7), 170170, 2017 | 151 | 2017 |
Multi-GPU accelerated multi-spin Monte Carlo simulations of the 2D Ising model B Block, P Virnau, T Preis Computer Physics Communications 181 (9), 1549-1556, 2010 | 147 | 2010 |
Quantifying the impact of scenic environments on health CI Seresinhe, T Preis, HS Moat Scientific reports 5 (1), 16899, 2015 | 144 | 2015 |
Estimating suicide occurrence statistics using Google Trends L Kristoufek, HS Moat, T Preis EPJ data science 5, 1-12, 2016 | 127 | 2016 |
Adaptive nowcasting of influenza outbreaks using Google searches T Preis, HS Moat Royal Society open science 1 (2), 140095, 2014 | 124 | 2014 |
Happiness is greater in more scenic locations CI Seresinhe, T Preis, G MacKerron, HS Moat Scientific reports 9 (1), 4498, 2019 | 120 | 2019 |
Quantifying the Digital Traces of Hurricane Sandy on Flickr T Preis, HS Moat, SR Bishop, P Treleaven, HE Stanley Scientific reports 3 (1), 3141, 2013 | 116 | 2013 |
Multi-agent-based order book model of financial markets T Preis, S Golke, W Paul, JJ Schneider Europhysics Letters 75 (3), 510, 2006 | 114 | 2006 |