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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:

Boosting Poisson regression models with telematics car driving data
Guangyuan Gao, He Wang, Mario V. Wüthrich
Machine Learning (2021) Vol. 111, Iss. 1, pp. 243-272
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Special issue on feature engineering editorial
Tim Verdonck, Bart Baesens, María Óskarsdóttir, et al.
Machine Learning (2021) Vol. 113, Iss. 7, pp. 3917-3928
Open Access | Times Cited: 84
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
Generalized Linear Models
Mario V. Wüthrich, Michael Merz
Springer Actuarial (2022), pp. 111-205
Open Access | Times Cited: 35
A systematic review of the use of in-vehicle telematics in monitoring driving behaviours
James Boylan, Denny Meyer, Won Sun Chen
Accident Analysis & Prevention (2024) Vol. 199, pp. 107519-107519
Open Access | Times Cited: 8
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: 40
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
Auto Insurance Pricing Using Telematics Data: Application of a Hidden Markov Model
Qiao Jiang, Tianxiang Shi
North American Actuarial Journal (2024), pp. 1-18
Closed Access | Times Cited: 4
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
Actuarial intelligence in auto insurance: Claim frequency modeling with driving behavior features and improved boosted trees
Shengwang Meng, Yaqian Gao, Yifan Huang
Insurance Mathematics and Economics (2022) Vol. 106, pp. 115-127
Closed Access | Times Cited: 17
Road Rage and Aggressive Driving Behaviour Detection in Usage-Based Insurance Using Machine Learning
Subramanian Arumugam, R. Bhargavi
International Journal of Software Innovation (2023) Vol. 11, Iss. 1, pp. 1-29
Open Access | Times Cited: 10
Unsupervised Detection of Anomalous Driving Patterns Using High Resolution Telematics Time Series Data
Ian Weng Chan, Andrei L. Badescu, X. Sheldon Lin
(2025)
Closed Access
Development of Telematics Risk Scores in Accordance with Regulatory Compliance
Hashan Peiris, Himchan Jeong, Bin Zou
(2025)
Closed Access
Technology Adoption Alters the Insurance Industry's Competitive Landscape in India
S. Baby Latha, S. Prettha
Advances in computational intelligence and robotics book series (2025), pp. 219-250
Closed Access
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
Enhancing Logistic Regression Using Neural Networks for Classification in Actuarial Learning
George Tzougas, Konstantin Kutzkov
Algorithms (2023) Vol. 16, Iss. 2, pp. 99-99
Open Access | Times Cited: 9
Telematics combined actuarial neural networks for cross-sectional and longitudinal claim count data
Francis Duval, Jean‐Philippe Boucher, Mathieu Pigeon
Astin Bulletin (2024) Vol. 54, Iss. 2, pp. 239-262
Open Access | Times Cited: 3
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
Data Mining of Telematics Data: Unveiling the Hidden Patterns in Driving Behavior
Ian Weng Chan, Spark C. Tseung, Andrei L. Badescu, et al.
North American Actuarial Journal (2024), pp. 1-35
Closed Access | Times Cited: 3
COST-SENSITIVE MULTI-CLASS ADABOOST FOR UNDERSTANDING DRIVING BEHAVIOR BASED ON TELEMATICS
Banghee So, Jean‐Philippe Boucher, Emiliano A. Valdez
Astin Bulletin (2021) Vol. 51, Iss. 3, pp. 719-751
Closed Access | Times Cited: 20
Driving Risk Assessment Using Near-Miss Events Based on Panel Poisson Regression and Panel Negative Binomial Regression
Shuai Sun, Jun Bi, Montserrat Guillén, et al.
Entropy (2021) Vol. 23, Iss. 7, pp. 829-829
Open Access | Times Cited: 17
Enhancing claim classification with feature extraction from anomaly‐detection‐derived routine and peculiarity profiles
Francis Duval, Jean‐Philippe Boucher, Mathieu Pigeon
Journal of Risk & Insurance (2023) Vol. 90, Iss. 2, pp. 421-458
Open Access | Times Cited: 7
Machine learning in long-term mortality forecasting
Yang Qiao, Chou‐Wen Wang, Wenjun Zhu
The Geneva Papers on Risk and Insurance Issues and Practice (2024) Vol. 49, Iss. 2, pp. 340-362
Closed Access | Times Cited: 2
l1-Regularization in Portfolio Selection with Machine Learning
Stefania Corsaro, Valentina De Simone, Zelda Marino, et al.
Mathematics (2022) Vol. 10, Iss. 4, pp. 540-540
Open Access | Times Cited: 11
Statistical Foundations of Actuarial Learning and its Applications
Mario V. Wüthrich, Michael Merz
SSRN Electronic Journal (2021)
Open Access | Times Cited: 11
JOINT MODELING OF CLAIM FREQUENCIES AND BEHAVIORAL SIGNALS IN MOTOR INSURANCE
Alexandre Corradin, Michel Denuit, Marcin Detyniecki, et al.
Astin Bulletin (2021) Vol. 52, Iss. 1, pp. 33-54
Open Access | Times Cited: 8
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