Scientometric Analysis of Green Vehicular Communications: A Comparative Study Based on Scopus and Web of Science

Hajipour, Pedram; Eftekhari, Hossein; Yeganeh, Hassan; Zarrabi, Houman

doi:10.22075/mseee.2024.34260.1159

Scientometric Analysis of Green Vehicular Communications: A Comparative Study Based on Scopus and Web of Science

Document Type : Research Article

Authors

Pedram Hajipour ¹

Hossein Eftekhari ²

Hassan Yeganeh ³

Houman Zarrabi ³

¹ Satellite Communication Group, Faculty of Communications Technology, ICT Research Institute, Tehran, Iran.

² Science and Technology Observation Inc, Tehran, Iran.

³ Faculty of Communications Technology, ICT Research Institute, Tehran, Iran.

10.22075/mseee.2024.34260.1159

Abstract

In this article, the status of published scientific literature in the field of "trends in green vehicular communications" is investigated using scientometric analysis. For this purpose, two reliable scientific citation databases, Scopus and Web of Science, were used for analysis, comparison, and evaluation from 2007 to 2023. The results indicate that there are a total of 3,150 published research works, with 2414 and 736 documents belonging to the Scopus and Web of Science databases, respectively. Tools such as Bibexcel and VOSviewer are employed for scientific evaluation and analysis. According to the statistical results obtained from the Scopus and WoS databases, China, the United States and India are the most active countries in this field of study. Additionally, topics such as vehicular communications, energy efficiency, energy utilization, VANETs, and connected cars are among the most commonly researched subjects. The Beijing University of Posts and Telecommunications and Chongqing University are recognized as leading institutions in this field with the highest number of publications. An exponential increase in scientific output in the Scopus database has been observed since 2014, whereas an upward trend began in the WoS in 2007. In both the Scopus and Web of Science databases, the field of engineering plays a major role in this research area, accounting for 33% and 30% of scientific production, respectively. IEEE Access and IEEE Transactions on Intelligent Transportation Systems are the leading journals with the highest number of related publications. SUMO and NS-2 are the most commonly used simulators in this field.

Keywords

Scientometrics

Vehicular Communications

Green communications

VOSviewer

Subjects

Communication System

Wang J, Zhu K, Hossain E. Green Internet of Vehicles (IoV) in the 6G era: Toward sustainable vehicular communications and networking. IEEE Trans. Green Commun. Netw. 2021;6(1):391-423.
Noor-A-Rahim M, Liu Z, Lee H, Khyam MO, He J, Pesch D, Moessner K, Saad W, Poor HV. 6G for vehicle-to-everything (V2X) communications: Enabling technologies, challenges, and opportunities. Proc. IEEE. 2022 ;110(6):712-734.
Su Y, LiWang M, Huang L, Du X, Guizani N. Green communications for future vehicular networks: Data compression approaches, opportunities, and challenges. IEEE Netw. 2020; 34(6):184-190.
De Fazio R., De Giorgi M., Cafagna D.,Del-Valle-Soto C., Visconti P. Energy harvesting technologies and devices from vehicular transit and natural sources on roads for a sustainable transport: state-of-the-art analysis and commercial solutions. Energies. 2023;16(7):1-46.
Ren G., Wang H., Chen C., Wang J. An energy conservation and environmental improvement solution-ultra-capacitor/battery hybrid power source for vehicular applications. Sustainable Energy Technol. and Assessments.2021;44:1-15.
Faghihian H., Sargolzaei A. Energy efficiency of connected autonomous vehicles: A review. Electronics. 2023;12(19):1-22.
Rehman MA., Numan M., Tahir H., Rahman U., Khan MW., Iftikhar MZ. A comprehensive overview of vehicle to everything (V2X) technology for sustainable EV adoption. J. Energy Storage. 2023; (https://doi.org/10.1016/j.est.2023.109304).
Ahmed M., Mirza MA., Raza S., Ahmad H., Xu F., Khan WU., Lin Q., Han Z. Vehicular communication network enabled CAV data offloading: A review. IEEE Transa. Intell. Transpo. Sys. 2023;24(8):7869-7897.
Haseeb K., Rehman A., Saba T., Bahaj SA., Wang H., Song H. Efficient and trusted autonomous vehicle routing protocol for 6G networks with computational intelligence. ISA Trans. 2023; 132:61-68.
Bordons, M. The concept of research field and scholarly communication: A scientometric perspective. Librarianship & Info. Sci. Res.,2005; 27(4), 315-321.
International Energy Agency. CO2 Emissions from Fuel Combustion 2022. Available at: https://www.iea.org/reports/co2-emissions-in-2022.

United Nations Framework Convention on Climate Change. Paris Agreement. Available at: https://unfccc.int/process-and-meetings/the-paris-agreement.2015.
Wu, Q., Liu, Y., Zeng, X., & Guan, X. Vehicle-to-Everything (V2X) Services: Requirements, technologies, and applications. IEEE Internet of Things Journal,2020;8(2),1006-1014.
Lv, C., Cao, D., Zhu, Y., & Liu, T. A survey on safety issues and countermeasures of autonomous vehicles. IEEE Trans. Intel. Veh.,2020; 5(3), 327-338.
Callon, M., Weingart, P., & Latour, B. New directions in science and technology studies. Sage Publications.
Glänzel, W., & Thijs, B. Scientometric indicators for national research performance. A comparison of European innovation leaders. Res. Eval.,2009; 18(2-3), 99-105.
Waltman, L., Van Eck, N. J., & Noyons, E. A unified approach to mapping literary domains and defining centrality. J. Informetrics,2012;6(4),585-602.
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. An approach for identifying emerging research topics in scientific documents. Scientometrics.2011;88(1),149-164.
Sood SK, Kumar N, Saini M. Scientometric analysis of literature on distributed vehicular networks: VOSViewer visualization techniques. Artif. Intell. Rev. 2021; 54:6309-6341.
Fernando E, Widjaja HA, Tan A. Bibliometric Analysis of Technology Blockchain with IoT in Vehicle. 2nd Int. Conf. Innovative and Creative Info. Technol. (ICITech) 2021; 157-163.
He Y, Yang S, Chan CY, Chen L, Wu C. Visualization analysis of intelligent vehicles research field based on mapping knowledge domain. IEEE Trans. on Intell. Transp. Syst. 2020;22(9):5721-5736.
Wang Y, Zhang F, Wang J, Liu L, Wang B. A bibliometric analysis of edge computing for internet of things. Secur. Commun. Netw. 2021; 2021:1-10.
Razak SF, Yogarayan S, Kamis NH, Abdullah MF, Yusof I. Application and growth of long-range communications technology in vehicular communications. Int. J. Electr. Comput. Eng. (IJECE). 2023;13(3):3484-3497.
Astarita V, Giofrè VP, Guido G, Vitale A. A Scientometric-Based Review of Traffic Signal Control Methods and Experiments Based on Connected Vehicles and Floating Car Data (FCD). Appl. Sci. 2021;11(12):1-19.
Bhatia TK, Ramachandran RK, Doss R, Pan L. Data congestion in VANETs: research directions and new trends through a bibliometric analysis. J. Supercomput. 2021; 77:6586-628.
Ding X, Liu W, Wang C, Kong D, Tang W, Xu R, Zhang C. Trend analysis of traffic management based on literature data mining and graph analysis tools. IET Intell. Transp. Syst. 2023;17(11):2115-2130.
Lozano Dominguez JM, Mateo Sanguino TJ. Review on v2x, i2x, and p2x communications and their applications: a comprehensive analysis over time. Sensors. 2019;19(12):1-29.
Weber JS, Neves M, Ferreto T. VANET simulators: an updated review. J. the Brazilian Comp. Soci. 2021;27(1), pp.1-31.
Babu S, Raj Kumar P A. A comprehensive survey on simulators, emulators, and testbeds for VANETs. Int. J. Commun. Syst. 2022; 25;35(8), pp.1-32.
Aljabry IA, Al-Suhail GA. A survey on network simulators for vehicular ad-hoc networks (VANETS). Int. J. Comput. Appl. 2021;174(11):1-9.