Evaluation of The Studies on Unmanned Aircraft System Safety Management Systems with Bibliometric Analysis

Author:

Altıntaş Osman Atilla1ORCID,Açıkel Birsen1ORCID,Turhan Ugur2ORCID

Affiliation:

1. ESKİŞEHİR TEKNİK ÜNİVERSİTESİ

2. ADFA School of Science

Abstract

UAV operations and their literature are developing rapidly. Along with the increasing number of risky situations, new technologies and measures are being developed to eliminate the unsafe situations created by them. Increasing UAVs have potential to lead to unsafe situations in airspace with incident and accident background. In addition to all other studies related to UAVs, studies on safety management systems, as well as other topics related to the safety management system, need to increase. In this study, a bibliometric analysis of the studies on UAVs between the years 2003-2022 was conducted from the perspective of safety management. For this purpose, the publications found in the Dimensions database were examined. Those publications related to UAVs were filtered according to certain criteria such as year, author, country, institution, and a sample was formed with 741 publications by using bibliometric analysis method. VOSViewer application was used for bibliometric analysis and the achieved data were visualized in the form of tables, graphics and visual maps. The findings show that the vast majority of publications on keywords were published in 2021. The most cited publication was written by Colomina and Molina in 2014. Most of the publications came up from the United States of America in total where 86 studies were conducted. The most cited organization is the University of Florida. In the cluster work, the words of remote sensing, sensor, and drones appear frequently.

Publisher

Journal of Aviation Research, Maltepe University

Reference27 articles.

1. Abdel-Basset, M., Chang, V., & Nabeeh, N. A. (2020). An intelligent framework using disruptive technologies for COVID-19 analysis. Technological Forecasting & Social Change, 163, 120431.

2. Alshamhi, S. H., Ma, O., Ansari, M. S., & Almalki, F. A. (2019). Survey on collaborative smart drones and internet of things for improving smartness of smart cities. IEEE Access, 7, 128125-128152.

3. Alvarado, E. (2023, November 5). Survey Snapshot: Spain's Drone Market. Retrieved from Drone Industry Insights: https://droneii.com/drone-companies-in-spain-drone-market

4. Altıntaş, O.A. (2023). Analysis of unmanned aerial vehicle systems occurrence reports from the safety management system perspective and scope of ICAO standards. Eskişehir Teknik Üniversitesi, Lisansüstü Eğitim Enstitüsü, Eskişehir. https://tez.yok.gov.tr/UlusalTezMerkezi/TezGosterkey=a0OMTmEd_3mfOBxT8SiBTIzaePYMbQEyFvTJuotgqKLBLfuI6rsN9LAdO9xMElRw.

5. Balasingam, M. (2017). Drones in medicine - the rise of machines. International Journal of Clinical Practice, 71(9), e12989.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3