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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data
Andrey Bogomolov, Bruno Lepri, Jacopo Staiano, et al.
arXiv (Cornell University) (2014)
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Internet use and well-being: A survey and a theoretical framework
Fulvio Castellacci, Vegard Tveito
Research Policy (2017) Vol. 47, Iss. 1, pp. 308-325
Open Access | Times Cited: 307
Statistical physics of crime: A review
Maria R. D’Orsogna, Matjaž Perc
Physics of Life Reviews (2014) Vol. 12, pp. 1-21
Open Access | Times Cited: 202
Crime Prediction Based on Crime Types and Using Spatial and Temporal Criminal Hotspots
Tahani Almanie, Rsha Mirza, Elizabeth Lor
International Journal of Data Mining & Knowledge Management Process (2015) Vol. 5, Iss. 4, pp. 01-19
Open Access | Times Cited: 105
Improving crime count forecasts using Twitter and taxi data
Lara Vomfell, Wolfgang Karl Härdle, Stefan Lessmann
Decision Support Systems (2018) Vol. 113, pp. 73-85
Open Access | Times Cited: 76
Mining large-scale human mobility data for long-term crime prediction
Cristina Kadar, Irena Pletikosa
EPJ Data Science (2018) Vol. 7, Iss. 1
Open Access | Times Cited: 72
Crime event prediction with dynamic features
Shakila Khan Rumi, Ke Deng, Flora D. Salim
EPJ Data Science (2018) Vol. 7, Iss. 1
Open Access | Times Cited: 63
Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction
Cristina Kadar, Rudolf Maculan, Stefan Feuerriegel
Decision Support Systems (2019) Vol. 119, pp. 107-117
Open Access | Times Cited: 62
Ambient population and surveillance cameras: The guardianship role in street robbers' crime location choice
Dongping Long, Lin Liu, Mingen Xu, et al.
Cities (2021) Vol. 115, pp. 103223-103223
Closed Access | Times Cited: 43
Artificial intelligence & crime prediction: A systematic literature review
Fatima Dakalbab, Manar Abu Talib, Omnia Abu Waraga, et al.
Social Sciences & Humanities Open (2022) Vol. 6, Iss. 1, pp. 100342-100342
Open Access | Times Cited: 37
Diversity beyond density: Experienced social mixing of urban streets
Zhuangyuan Fan, Tianyu Su, Maoran Sun, et al.
PNAS Nexus (2023) Vol. 2, Iss. 4
Open Access | Times Cited: 21
Testing Indicators of Risk Populations for Theft from the Person across Space and Time: The Significance of Mobility and Outdoor Activity
Guangwen Song, Lin Liu, Wim Bernasco, et al.
Annals of the American Association of Geographers (2018) Vol. 108, Iss. 5, pp. 1370-1388
Open Access | Times Cited: 57
New insights on relationships between street crimes and ambient population: Use of hourly population data estimated from mobile phone users’ locations
Kazumasa Hanaoka
Environment and Planning B Urban Analytics and City Science (2016) Vol. 45, Iss. 2, pp. 295-311
Closed Access | Times Cited: 48
CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale
Qi Wang, Guangyin Jin, Xia Zhao, et al.
Knowledge-Based Systems (2019) Vol. 189, pp. 105120-105120
Closed Access | Times Cited: 42
An exploration of the interaction between urban human activities and daily traffic conditions: A case study of Toronto, Canada
Wei Huang, Shishuo Xu, Yingwei Yan, et al.
Cities (2018) Vol. 84, pp. 8-22
Closed Access | Times Cited: 41
Ambient Population and Larceny-Theft: A Spatial Analysis Using Mobile Phone Data
Li He, Antonio Páez, Jianmin Jiao, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 6, pp. 342-342
Open Access | Times Cited: 39
Criminal Futures
Simon Egbert, Matthias Leese
(2020)
Open Access | Times Cited: 36
Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter
Nick Malleson, Kevin Minors, Minh Kieu, et al.
Journal of Artificial Societies and Social Simulation (2020) Vol. 23, Iss. 3
Open Access | Times Cited: 33
Improving official statistics in emerging markets using machine learning and mobile phone data
Eaman Jahani, Pål Sundsøy, Johannes Bjelland, et al.
EPJ Data Science (2017) Vol. 6, Iss. 1
Open Access | Times Cited: 37
Forecasting Crime with Deep Learning
Alexander Stec, Diego Klabjan
arXiv (Cornell University) (2018)
Open Access | Times Cited: 37
Pre-Emptive Big Data Surveillance and its (Dis)Empowering Consequences: The Case of Predictive Policing
Rosamunde Van Brakel
SSRN Electronic Journal (2016)
Open Access | Times Cited: 35
Next Location Prediction Based on an Adaboost-Markov Model of Mobile Users
Hongjun Wang, Zhen Yang, Yingchun Shi
Sensors (2019) Vol. 19, Iss. 6, pp. 1475-1475
Open Access | Times Cited: 32
Trading Complexity for Sparsity in Random Forest Explanations
Gilles Audemard, Steve Bellart, Louènas Bounia, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 5, pp. 5461-5469
Open Access | Times Cited: 17
A multi-source dataset of urban life in the city of Milan and the Province of Trentino
Gianni Barlacchi, Marco De Nadai, Roberto Larcher, et al.
(2015)
Closed Access | Times Cited: 28
Big Data and Its Utility in Social Work: Learning from the Big Data Revolution in Business and Healthcare
Jeffrey Zetino, N. S. Mendoza
Social Work in Public Health (2019) Vol. 34, Iss. 5, pp. 409-417
Closed Access | Times Cited: 25
Towards hour-level crime prediction: A neural attentive framework with spatial–temporal-categorical fusion
Weichao Liang, Youquan Wang, Haicheng Tao, et al.
Neurocomputing (2021) Vol. 486, pp. 286-297
Closed Access | Times Cited: 18
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