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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:

The use of context-sensitive insurance telematics data in auto insurance rate making
Yu-Luen Ma, Xiaoyu Zhu, Xianbiao Hu, et al.
Transportation Research Part A Policy and Practice (2018) Vol. 113, pp. 243-258
Closed Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

Automobile insurance classification ratemaking based on telematics driving data
Yifan Huang, Shengwang Meng
Decision Support Systems (2019) Vol. 127, pp. 113156-113156
Closed Access | Times Cited: 98
From pool to profile: Social consequences of algorithmic prediction in insurance
Alberto Cevolini, Elena Esposito
Big Data & Society (2020) Vol. 7, Iss. 2
Open Access | Times Cited: 86
Personalization as a promise: Can Big Data change the practice of insurance?
Laurence Barry, Arthur Charpentier
Big Data & Society (2020) Vol. 7, Iss. 1, pp. 205395172093514-205395172093514
Open Access | Times Cited: 82
Deep learning in insurance: Accuracy and model interpretability using TabNet
Kevin McDonnell, Finbarr Murphy, Barry Sheehan, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119543-119543
Open Access | Times Cited: 37
Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligence
Leandro Masello, German Castignani, Barry Sheehan, et al.
Accident Analysis & Prevention (2023) Vol. 184, pp. 106997-106997
Open Access | Times Cited: 25
On the impact of advanced driver assistance systems on driving distraction and risky behaviour: An empirical analysis of irish commercial drivers
Leandro Masello, Barry Sheehan, German Castignani, et al.
Accident Analysis & Prevention (2023) Vol. 183, pp. 106969-106969
Open Access | Times Cited: 24
Explainable Artificial Intelligence (XAI) in Insurance
Emer Owens, Barry Sheehan, Martin Mullins, et al.
Risks (2022) Vol. 10, Iss. 12, pp. 230-230
Open Access | Times Cited: 33
Can Automobile Insurance Telematics Predict the Risk of Near-Miss Events?
Montserrat Guillén, Jens Perch Nielsen, Ana María Pérez Marín, et al.
North American Actuarial Journal (2019) Vol. 24, Iss. 1, pp. 141-152
Open Access | Times Cited: 47
End-to-End Autonomous Driving Risk Analysis: A Behavioural Anomaly Detection Approach
Cian Ryan, Finbarr Murphy, Martin Mullins
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 3, pp. 1650-1662
Closed Access | Times Cited: 45
A critical overview of driver recording tools
Απόστολος Ζιακόπουλος, Dimitrios I. Tselentis, Armira Kontaxi, et al.
Journal of Safety Research (2020) Vol. 72, pp. 203-212
Closed Access | Times Cited: 42
Near‐miss telematics in motor insurance
Montserrat Guillén, Jens Perch Nielsen, Ana María Pérez Marín
Journal of Risk & Insurance (2021) Vol. 88, Iss. 3, pp. 569-589
Open Access | Times Cited: 39
Creating ethics guidelines for artificial intelligence and big data analytics customers: The case of the consumer European insurance market
Martin Mullins, Christopher P. Holland, Martin Cunneen
Patterns (2021) Vol. 2, Iss. 10, pp. 100362-100362
Open Access | Times Cited: 38
Predicting individuals' car accident risk by trajectory, driving events, and geographical context
L. Bruhwiler, Cheng Fu, Haosheng Huang, et al.
Computers Environment and Urban Systems (2022) Vol. 93, pp. 101760-101760
Open Access | Times Cited: 24
The added value of dynamically updating motor insurance prices with telematics collected driving behavior data
Roel Henckaerts, Katrien Antonio
Insurance Mathematics and Economics (2022) Vol. 105, pp. 79-95
Open Access | Times Cited: 24
Vehicle Telematics for Safer, Cleaner and More Sustainable Urban Transport: A Review
Omid Ghaffarpasand, Mark J. Burke, Louisa K. Osei, et al.
Sustainability (2022) Vol. 14, Iss. 24, pp. 16386-16386
Open Access | Times Cited: 24
AI revolution in insurance: bridging research and reality
Subhrajit Bhattacharya, German Castignani, Leandro Masello, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
The impact of telematics on the insurability of risks
Martin Eling, Mirko Kraft
The Journal of Risk Finance (2020) Vol. 21, Iss. 2, pp. 77-109
Closed Access | Times Cited: 38
What can we learn from telematics car driving data: A survey
Guangyuan Gao, Shengwang Meng, Mario V. Wüthrich
Insurance Mathematics and Economics (2022) Vol. 104, pp. 185-199
Open Access | Times Cited: 21
The transformation of the insurance industry and road safety by driver safety behaviour telematics
Απόστολος Ζιακόπουλος, Virginia Petraki, Armira Kontaxi, et al.
Case Studies on Transport Policy (2022) Vol. 10, Iss. 4, pp. 2271-2279
Closed Access | Times Cited: 21
Driving risk prevention in usage-based insurance services based on interpretable machine learning and telematics data
Hongjie Li, Xinggang Luo, Zhong-Liang Zhang, et al.
Decision Support Systems (2023) Vol. 172, pp. 113985-113985
Closed Access | Times Cited: 12
Integration of traditional and telematics data for efficient insurance claims prediction
Hashan Peiris, Himchan Jeong, Jae‐Kwang Kim, et al.
Astin Bulletin (2024) Vol. 54, Iss. 2, pp. 263-279
Open Access | Times Cited: 4
Risky scooter riders pay more: a usage-based insurance study of a scooter risk-aware fingerprint model without privacy issues
Wei-Hsun Lee, Jhang-Neng Lin, Ku‐Lin Wen
Journal of Intelligent Transportation Systems (2025), pp. 1-16
Closed Access
Assessing Driving Risk Using Internet of Vehicles Data: An Analysis Based on Generalized Linear Models
Shuai Sun, Jun Bi, Montserrat Guillén, et al.
Sensors (2020) Vol. 20, Iss. 9, pp. 2712-2712
Open Access | Times Cited: 28
Safety assessment of trucks based on GPS and in-vehicle monitoring data
Xuxin Zhang, Xuesong Wang, Yanli Bao, et al.
Accident Analysis & Prevention (2022) Vol. 168, pp. 106619-106619
Closed Access | Times Cited: 16
Pricing weekly motor insurance drivers’ with behavioral and contextual telematics data
Montserrat Guillen, Ana María Pérez Marín, Jens Perch Nielsen
Heliyon (2024) Vol. 10, Iss. 16, pp. e36501-e36501
Open Access | Times Cited: 3
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