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Journal of Ergonomics

Journal of Ergonomics
Open Access

ISSN: 2165-7556

Journal of Ergonomics : Citations & Metrics Report

Articles published in Journal of Ergonomics have been cited by esteemed scholars and scientists all around the world. Journal of Ergonomics has got h-index 52, which means every article in Journal of Ergonomics has got 52 average citations.

Following are the list of articles that have cited the articles published in Journal of Ergonomics.

  2021 2020 2019 2018 2017 2016

Year wise published articles

62 23 18 26 54 60

Year wise citations received

1281 1189 1143 1039 847 771
Journal total citations count 11650
Journal impact factor 2.93
Journal 5 years impact factor 2.78
Journal cite score 3.67
Journal h-index 52
Journal h-index since 2017 36
Important citations

young kl, stephens an, stephan kl, stuart gw. in the eye of the beholder: a simulator study of the impact of google glass on driving performance. accid anal & preven. 2016;86:68-75.

li binya, wu yunping. design of berthing software based on smartphone. electronic measurement technology. 2015 (4): 44-47.

de almeida noronha f, de almeida ll, da silva fa, cabral fp, siscoutto ra. detecção de fadiga a partir da análise de imagens faciais. incollo exact. 2019;11(2):34-45.

zhong yizheng. development of doze detection system for smart phones combined with g-sensor.

blatnik a. zaznavanje utrujenosti očesa na podlagi mežikanja.

hu yunfeng, qu ting, liu jun, shi zhuqing, zhu bing, cao dongyi, chen hong. research status and prospects of human-machine collaborative control for smart cars. acta automatica sinica. 2019; 45 (7): 1261-1280.

he j. drowsiness detection and management. j ergon. 2013;12:2352-2359.

mabry je, glenn tl, hickman js. commercial motor vehicle operator fatigue detection technology catalog and review.

mabry je, glenn tl, hickman js. commercial motor vehicle operator fatigue detection technology catalog and review.

lawanont w, inoue m, mongkolnam p, nukoolkit c. neck posture monitoring system based on image detection and smartphone sensors using the prolonged usage classification concept. transac on elec electr eng. 2018;13(10):1501-10.

eddine bd. hypovigilance detection and assistance to vehicle drivers.

alotaibi as, asif a. wakeup: designing multimodal alerts for drowsy drivers with smartphones. ncc. 2018:1-7.

tian y, wang c, jia h. eyes and mouth states detection for drowsiness determination. inint conf front comp. 2018:1546-1554.

he j. human factors in the coming age of driverless vehicle.

woo c. driving manoeuvre recognition using mobile sensors.

tseng vw, abdullah s, costa j, choudhury t. alertnessscanner: what do your pupils tell about your alertness. int conf human-comp int mob dev & ser. 2018:41.

ryan j, inzerillo s, helmick j, boolani a, banerjee nk, banerjee s. predicting if older adults perform cognitive tasks using body joint movements from rgb-d videos. inint conf ehealth, telemed & soc med. 2019.

kuliÅ„ski m. zarzÄ…dzanie zmÄ™czeniem pracowników: metody i narzÄ™dzia pomiaru zmÄ™czenia. studia i prace wneiz us. 2015;9(3):79-90.

chang wj, chen lb, chiou yz. design and implementation of a drowsiness-fatigue-detection system based on wearable smart glasses to increase road safety. transac consum elect. 2018;64(4):461-469.

zhong q, zhang g. acase-based approach for modelling the risk of driver fatigue. inint conf intel sci. 2017:45-56.

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