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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:

Semi-autonomous vehicles: Usage-based data evidences of what could be expected from eliminating speed limit violations
Ana María Pérez Marín, Montserrat Guillén
Accident Analysis & Prevention (2018) Vol. 123, pp. 99-106
Open Access | Times Cited: 22

Showing 22 citing articles:

Predicting Motor Insurance Claims Using Telematics Data—XGBoost versus Logistic Regression
Jessica Pesantez-Narvaez, Montserrat Guillén, Manuela Alcañiz
Risks (2019) Vol. 7, Iss. 2, pp. 70-70
Open Access | Times Cited: 135
Dual electromagnetic energy harvesting technology for sustainable transportation systems
Mohammadreza Gholikhani, Seyed Yashar Beheshti Shirazi, Gamal M. Mabrouk, et al.
Energy Conversion and Management (2021) Vol. 230, pp. 113804-113804
Closed Access | Times Cited: 56
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
Risk factors of road accident severity and the development of a new system for prevention: New insights from China
Noureddine Benlagha, Lanouar Charfeddine
Accident Analysis & Prevention (2020) Vol. 136, pp. 105411-105411
Closed Access | Times Cited: 56
A geographically weighted regression to estimate the comprehensive cost of traffic crashes at a zonal level
Amin Mohamadi Hezaveh, Ramin Arvin, Christopher Cherry
Accident Analysis & Prevention (2019) Vol. 131, pp. 15-24
Closed Access | Times Cited: 47
Sociomobility of the 21st century: Autonomous vehicles, planning, and the future city
Eva Kaßens-Noor, Dana Dake, Travis Decaminada, et al.
Transport Policy (2020) Vol. 99, pp. 329-335
Closed Access | Times Cited: 39
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
Predicting Motor Insurance Claims Using Telematics Data—XGBoost vs. Logistic Regression
Jessica Pesantez-Narvaez, Montserrat Guillén, Manuela Alcañiz
(2019)
Open Access | Times Cited: 25
A Sarmanov Distribution with Beta Marginals: An Application to Motor Insurance Pricing
Catalina Bolancé, Montserrat Guillén, Albert Pitarque
Mathematics (2020) Vol. 8, Iss. 11, pp. 2020-2020
Open Access | Times Cited: 18
Weather Conditions and Telematics Panel Data in Monthly Motor Insurance Claim Frequency Models
J. Torra, Montserrat Guillén, Ana María Pérez Marín, et al.
Risks (2023) Vol. 11, Iss. 3, pp. 57-57
Open Access | Times Cited: 5
How Much Telematics Information Do Insurers Need for Claim Classification?
Francis Duval, Jean‐Philippe Boucher, Mathieu Pigeon
North American Actuarial Journal (2022) Vol. 26, Iss. 4, pp. 570-590
Open Access | Times Cited: 8
Quantile Regression with Telematics Information to Assess the Risk of Driving above the Posted Speed Limit
Ana María Pérez Marín, Montserrat Guillén, Manuela Alcañiz, et al.
Risks (2019) Vol. 7, Iss. 3, pp. 80-80
Open Access | Times Cited: 13
Percentile charts for speeding based on telematics information
Montserrat Guillén, Ana María Pérez Marín, Manuela Alcañiz
Accident Analysis & Prevention (2020) Vol. 150, pp. 105865-105865
Open Access | Times Cited: 11
Quantile Regression with Telematics Information to Assess the Risk of Driving Above the Posted Speed Limit
Ana María Pérez Marín, Montserrat Guillén, Manuela Alcañiz, et al.
(2019)
Open Access | Times Cited: 10
A data mining approach for classification of traffic violations types
Nor Aqilah Othman, Cik Feresa Mohd Foozy, Aida Mustapha, et al.
International Journal of Advances in Intelligent Informatics (2021) Vol. 7, Iss. 3, pp. 282-282
Open Access | Times Cited: 8
Bivariate Mixed Poisson and Normal Generalised Linear Models with Sarmanov Dependence—An Application to Model Claim Frequency and Optimal Transformed Average Severity
Ramón Alemany, Catalina Bolancé, Roberto Rodrigo, et al.
Mathematics (2020) Vol. 9, Iss. 1, pp. 73-73
Open Access | Times Cited: 5
Commercial Truck Risk Assessment and Factor Analysis Based on Vehicle Trajectory and In-Vehicle Monitoring Data
Xuesong Wang, Xiaowei Tang, Tianxiang Fan, et al.
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access
Big Data Generated by Connected and Automated Vehicles for Safety Monitoring, Assessment and Improvement, Final Report (Year 3)
Asad J. Khattak, Iman Mahdinia, Sevin Mohammadi, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 3
Complex attack detection scheme using history trajectory in internet of vehicles
Won-Jin Chung, Taeho Cho
Egyptian Informatics Journal (2022) Vol. 23, Iss. 3, pp. 499-510
Open Access | Times Cited: 2
Regression scores to identify risky drivers from braking pulses
Shuai Sun, Jun Bi, Montserrat Guillén, et al.
(2020)
Open Access
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