Tobias Preis
German scientist, University of Warwick
Tobias Preis's AcademicInfluence.com Rankings
Download Badge
Business Physics
Tobias Preis's Degrees
- Bachelors Physics Karlsruhe Institute of Technology
Why Is Tobias Preis Influential?
(Suggest an Edit or Addition)According to Wikipedia, Tobias Preis is Professor of Behavioral Science and Finance at Warwick Business School and a fellow of the Alan Turing Institute. He is a computational social scientist focussing on measuring and predicting human behavior with online data. At Warwick Business School he directs the Data Science Lab together with his colleague Suzy Moat. Preis holds visiting positions at Boston University and University College London. In 2011, he worked as a senior research fellow with H. Eugene Stanley at Boston University and with Dirk Helbing at ETH Zurich. In 2009, he was named a member of the Gutenberg Academy. In 2007, he founded Artemis Capital Asset Management GmbH, a proprietary trading firm which is based in Germany. He was awarded a Ph.D. in physics from the Johannes Gutenberg University of Mainz in Germany.
Tobias Preis's Published Works
Published Works
- Quantifying Trading Behavior in Financial Markets Using Google Trends (2013) (842)
- GPU accelerated Monte Carlo simulation of the 2D and 3D Ising model (2009) (326)
- Quantifying Wikipedia Usage Patterns Before Stock Market Moves (2013) (316)
- Complex dynamics of our economic life on different scales: insights from search engine query data (2010) (282)
- Quantifying the Behavior of Stock Correlations Under Market Stress (2012) (179)
- Quantifying the Advantage of Looking Forward (2012) (178)
- Quantifying the semantics of search behavior before stock market moves (2014) (169)
- Quantifying the Relationship Between Financial News and the Stock Market (2013) (148)
- Linking agent-based models and stochastic models of financial markets (2012) (145)
- Switching processes in financial markets (2011) (140)
- The advantage of short paper titles (2015) (132)
- Quantifying crowd size with mobile phone and Twitter data (2015) (126)
- Multi-GPU accelerated multi-spin Monte Carlo simulations of the 2D Ising model (2010) (102)
- Adaptive nowcasting of influenza outbreaks using Google searches (2014) (95)
- Multi-Agent–Based Order Book Model of Financial Markets (2006) (95)
- Quantifying the Impact of Scenic Environments on Health (2015) (94)
- Using deep learning to quantify the beauty of outdoor places (2017) (86)
- Quantifying the Digital Traces of Hurricane Sandy on Flickr (2013) (86)
- Dependency Network and Node Influence: Application to the Study of Financial Markets (2012) (76)
- Accelerated fluctuation analysis by graphic cards and complex pattern formation in financial markets (2009) (55)
- Statistical analysis of financial returns for a multiagent order book model of asset trading. (2007) (51)
- Estimating suicide occurrence statistics using Google Trends (2016) (49)
- Switching Phenomena in a System with No Switches (2010) (49)
- Happiness is Greater in More Scenic Locations (2019) (48)
- Quantifying scenic areas using crowdsourced data (2018) (45)
- Using big data to predict collective behavior in the real world 1 (2014) (43)
- Quantifying International Travel Flows Using Flickr (2015) (42)
- The advantage of simple paper abstracts (2016) (35)
- Quantifying Stock Return Distributions in Financial Markets (2015) (35)
- Modelling human mobility patterns using photographic data shared online (2015) (34)
- Quantifying meta-correlations in financial markets (2012) (33)
- GPU-computing in econophysics and statistical physics (2011) (33)
- Correlated randomness and switching phenomena (2010) (32)
- Econophysics — complex correlations and trend switchings in financial time series (2011) (31)
- Fluctuation patterns in high-frequency financial asset returns (2008) (31)
- From Innovation to Diversification: A Simple Competitive Model (2015) (30)
- Searching Choices: Quantifying Decision‐Making Processes Using Search Engine Data (2016) (25)
- Characterizing the Time-Perspective of Nations with Search Engine Query Data (2014) (23)
- Scenicness assessment of onshore wind sites with geotagged photographs and impacts on approval and cost-efficiency (2021) (18)
- Quantifying the link between art and property prices in urban neighbourhoods (2016) (17)
- Anticipating Stock Market Movements with Google and Wikipedia (2014) (16)
- Tracking Protests Using Geotagged Flickr Photographs (2016) (16)
- Sensing global tourism numbers with millions of publicly shared online photographs (2020) (15)
- Price-Time Priority and Pro Rata Matching in an Order Book Model of Financial Markets (2011) (13)
- Quantifying the Diversity of News Around Stock Market Moves (2017) (13)
- Early Signs of Financial Market Moves Reflected by Google Searches (2015) (12)
- Using aircraft location data to estimate current economic activity (2020) (8)
- Quantifying the Search Behaviour of Different Demographics Using Google Correlate (2016) (8)
- Quantifying Regional Differences in the Length of Twitter Messages (2015) (8)
- Simulating the microstructure of financial markets (2010) (7)
- Measuring the size of a crowd using Instagram (2019) (7)
- In search of art: rapid estimates of gallery and museum visits using Google Trends (2020) (6)
- Trend Switching Processes in Financial Markets (2010) (6)
- How to Characterize Trend Switching Processes in Financial Markets (2010) (6)
- Estimating tourism statistics with Wikipedia page views (2015) (4)
- Using big data to map the relationship between time perspectives and economic outputs (2019) (3)
- Improving renewable energy resource assessments by quantifying landscape beauty (2020) (2)
- Quantifying the trade-off between cost-efficiency and public acceptance for onshore wind (2020) (2)
- Faster indicators of chikungunya incidence using Google searches (2022) (1)
- MOESM1 of Estimating suicide occurrence statistics using Google Trends (2016) (1)
- Faster indicators of dengue fever case counts using Google and Twitter (2021) (1)
- Using big data to map the relationship between time perspectives and economic outputs—ERRATUM (2019) (0)
- Using aircraft location data to estimate current economic activity (2020) (0)
- he advantage of simple paper abstracts (2015) (0)
- Estimating Current Suicide Rates Using Google Trends (2017) (0)
- Supplementary material from "Using deep learning to quantify the beauty of outdoor places" (2017) (0)
- Happiness is Greater in More Scenic Locations (2019) (0)
- Estimating suicide occurrence statistics using Google Trends (2016) (0)
- Exploratory Study on the behavior of the Brazilian Financial Market using Google Trends (2020) (0)
- In search of art: rapid estimates of gallery and museum visits using Google Trends (2020) (0)
This paper list is powered by the following services:
Other Resources About Tobias Preis
What Schools Are Affiliated With Tobias Preis?
Tobias Preis is affiliated with the following schools: