Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 value of vehicle telematics data in insurance risk selection processes
Philippe Baecke, Lorenzo Bocca
Decision Support Systems (2017) Vol. 98, pp. 69-79
Closed Access | Times Cited: 119

Showing 1-25 of 119 citing articles:

Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data
Mercedes Ayuso, Montserrat Guillén, Jens Perch Nielsen
Transportation (2018) Vol. 46, Iss. 3, pp. 735-752
Closed Access | Times Cited: 102
Machine Learning for Financial Risk Management: A Survey
Akib Mashrur, Wei Luo, Nayyar A. Zaidi, et al.
IEEE Access (2020) Vol. 8, pp. 203203-203223
Open Access | Times Cited: 100
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: 97
Good drivers pay less: A study of usage-based vehicle insurance models
Yiyang Bian, Chen Yang, Jing Zhao, et al.
Transportation Research Part A Policy and Practice (2017) Vol. 107, pp. 20-34
Closed Access | Times Cited: 94
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
A framework for understanding artificial intelligence research: insights from practice
Ransome Epie Bawack, Samuel Fosso Wamba, Kévin Carillo
Journal of Enterprise Information Management (2021) Vol. 34, Iss. 2, pp. 645-678
Closed Access | Times Cited: 64
Transformation of insurance technologies in the context of a pandemic
Svitlana Volosovych, Iryna Zelenitsa, Diana Kondratenko, et al.
Insurance Markets and Companies (2021) Vol. 12, Iss. 1, pp. 1-13
Open Access | Times Cited: 59
Managing customer satisfaction: digital applications for insurance companies
Christian Eckert, Christof Neunsinger, Katrin Osterrieder
The Geneva Papers on Risk and Insurance Issues and Practice (2022) Vol. 47, Iss. 3, pp. 569-602
Open Access | Times Cited: 47
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
The Use of Telematics Devices to Improve Automobile Insurance Rates
Montserrat Guillén, Jens Perch Nielsen, Mercedes Ayuso, et al.
Risk Analysis (2018) Vol. 39, Iss. 3, pp. 662-672
Open Access | Times Cited: 80
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
Exposure as Duration and Distance in Telematics Motor Insurance Using Generalized Additive Models
Jean‐Philippe Boucher, Steven Côté, Montserrat Guillén
Risks (2017) Vol. 5, Iss. 4, pp. 54-54
Open Access | Times Cited: 62
The value of meteorological data in marine risk assessment
Roar Ådland, Haiying Jia, Tønnes Lode, et al.
Reliability Engineering & System Safety (2021) Vol. 209, pp. 107480-107480
Open Access | Times Cited: 55
Deep Learning Model Based CO2 Emissions Prediction Using Vehicle Telematics Sensors Data
Mukul Singh, Rahul Dubey
IEEE Transactions on Intelligent Vehicles (2021) Vol. 8, Iss. 1, pp. 768-777
Closed Access | Times Cited: 52
Industry 4.0 transition: a systematic literature review combining the absorptive capacity theory and the data–information–knowledge hierarchy
Lorenzo Ardito, Roberto Cerchione, Erica Mazzola, et al.
Journal of Knowledge Management (2021) Vol. 26, Iss. 9, pp. 2222-2254
Closed Access | Times Cited: 49
Discovering IoT implications in business and management: A computational thematic analysis
Mohammad Soltani Delgosha, Nastaran Hajiheydari, Mojtaba Talafidaryani
Technovation (2021) Vol. 118, pp. 102236-102236
Open Access | Times Cited: 44
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
Multivariate credibility modelling for usage-based motor insurance pricing with behavioural data
Michel Denuit, Montserrat Guillén, Julien Trufin
Annals of Actuarial Science (2019) Vol. 13, Iss. 2, pp. 378-399
Open Access | Times Cited: 49
Reducing Informational Disadvantages to Improve Cyber Risk Management†
Sachin Shetty, Michael K. McShane, Linfeng Zhang, et al.
The Geneva Papers on Risk and Insurance Issues and Practice (2018) Vol. 43, Iss. 2, pp. 224-238
Closed Access | Times Cited: 48
Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data
Jie Chen, Zhongcheng Wu, Jun Zhang
IEEE Transactions on Intelligent Transportation Systems (2019) Vol. 20, Iss. 12, pp. 4450-4465
Closed Access | Times Cited: 46
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: 46
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
Page 1 - Next Page

Scroll to top