Pence, J. Et Al. 2019. Data-theoretic methodology and computational platform to quantify organizational factors in socio-technical risk analysis. RELIABILITY ENGINEERING & SYSTEM SAFETY , vol.185 , 240-260.

Pence, J., Sakurahara, T., Zhu, X., Mohaghegh, Z., ERTEM, M., Ostroff, C., ... Kee, E.(2019). Data-theoretic methodology and computational platform to quantify organizational factors in socio-technical risk analysis. RELIABILITY ENGINEERING & SYSTEM SAFETY , vol.185, 240-260.

Pence, Justin Et Al. "Data-theoretic methodology and computational platform to quantify organizational factors in socio-technical risk analysis," RELIABILITY ENGINEERING & SYSTEM SAFETY , vol.185, 240-260, 2019

Pence, Justin Et Al. "Data-theoretic methodology and computational platform to quantify organizational factors in socio-technical risk analysis." RELIABILITY ENGINEERING & SYSTEM SAFETY , vol.185, pp.240-260, 2019

Pence, J. Et Al. (2019) . "Data-theoretic methodology and computational platform to quantify organizational factors in socio-technical risk analysis." RELIABILITY ENGINEERING & SYSTEM SAFETY , vol.185, pp.240-260.

@article{article, author={Justin Pence Et Al. }, title={Data-theoretic methodology and computational platform to quantify organizational factors in socio-technical risk analysis}, journal={RELIABILITY ENGINEERING & SYSTEM SAFETY}, year=2019, pages={240-260} }