Javier Andres Izquierdo

Personal Details

First Name:	Javier
Middle Name:	Andres
Last Name:	Izquierdo
Suffix:
RePEc Short-ID:	piz25
	[This author has chosen not to make the email address public]
	http://paquetes-de-vacaciones.com

Affiliation

school of Business
St. Thomas University

Miami, Florida (United States)
http://www.stu.edu/business
RePEc:edi:dbastus (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

Sorry, no citations of working papers recorded.

Articles

1. Izquierdo, J.F. & Montiel, M. & Palés, I. & Outón, P.R. & Galán, M. & Jutglar, L. & Villarrubia, M. & Izquierdo, M. & Hermo, M.P. & Ariza, X., 2012. "Fuel additives from glycerol etherification with light olefins: State of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6717-6724.

   Cited by:

   1. Aghbashlo, Mortaza & Tabatabaei, Meisam & Rastegari, Hajar & Ghaziaskar, Hassan S. & Roodbar Shojaei, Taha, 2018. "On the exergetic optimization of solketalacetin synthesis as a green fuel additive through ketalization of glycerol-derived monoacetin with acetone," Renewable Energy, Elsevier, vol. 126(C), pages 242-253.
   2. Galadima, Ahmad & Muraza, Oki, 2014. "Biodiesel production from algae by using heterogeneous catalysts: A critical review," Energy, Elsevier, vol. 78(C), pages 72-83.
   3. Sedghi, Reza & Shahbeik, Hossein & Rastegari, Hajar & Rafiee, Shahin & Peng, Wanxi & Nizami, Abdul-Sattar & Gupta, Vijai Kumar & Chen, Wei-Hsin & Lam, Su Shiung & Pan, Junting & Tabatabaei, Meisam & A, 2022. "Turning biodiesel glycerol into oxygenated fuel additives and their effects on the behavior of internal combustion engines: A comprehensive systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
   4. Mwangi, John Kennedy & Lee, Wen-Jhy & Chang, Yu-Cheng & Chen, Chia-Yang & Wang, Lin-Chi, 2015. "An overview: Energy saving and pollution reduction by using green fuel blends in diesel engines," Applied Energy, Elsevier, vol. 159(C), pages 214-236.
   5. Jia, Guangxin & He, Beibei & Ma, Wenlin & Sun, Yifan, 2019. "Thermodynamic analysis based on simultaneous chemical and phase equilibrium for dehydration of glycerol with methanol," Energy, Elsevier, vol. 188(C).
   6. Monteiro, Marcos Roberto & Kugelmeier, Cristie Luis & Pinheiro, Rafael Sanaiotte & Batalha, Mario Otávio & da Silva César, Aldara, 2018. "Glycerol from biodiesel production: Technological paths for sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 109-122.
   7. Rafael Estevez & Laura Aguado-Deblas & Diego Luna & Felipa M. Bautista, 2019. "An Overview of the Production of Oxygenated Fuel Additives by Glycerol Etherification, Either with Isobutene or tert -Butyl Alcohol, over Heterogeneous Catalysts," Energies, MDPI, vol. 12(12), pages 1-20, June.
   8. Talebian-Kiakalaieh, Amin & Amin, Nor Aishah Saidina & Hezaveh, Hadi, 2014. "Glycerol for renewable acrolein production by catalytic dehydration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 28-59.

2. Izquierdo, J. & Montalvo, I. & Pérez, R. & Fuertes, V.S., 2009. "Forecasting pedestrian evacuation times by using swarm intelligence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1213-1220.

   Cited by:

   1. Li, Lin & Yu, Zhonghai & Chen, Yang, 2014. "Evacuation dynamic and exit optimization of a supermarket based on particle swarm optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 157-172.
   2. Zheng, Yaochen & Chen, Jianqiao & Wei, Junhong & Guo, Xiwei, 2012. "Modeling of pedestrian evacuation based on the particle swarm optimization algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(17), pages 4225-4233.
   3. Qi, Jie & Rong, Zhihai, 2013. "The emergence of scaling laws search dynamics in a particle swarm optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1522-1531.
   4. Abdelghany, Ahmed & Abdelghany, Khaled & Mahmassani, Hani, 2016. "A hybrid simulation-assignment modeling framework for crowd dynamics in large-scale pedestrian facilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 159-176.
   5. Zheng, Xiaoping & Li, Wei & Guan, Chao, 2010. "Simulation of evacuation processes in a square with a partition wall using a cellular automaton model for pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(11), pages 2177-2188.
   6. Abdelghany, Ahmed & Abdelghany, Khaled & Mahmassani, Hani & Alhalabi, Wael, 2014. "Modeling framework for optimal evacuation of large-scale crowded pedestrian facilities," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1105-1118.
   7. Hassanpour, Sajjad & Rassafi, Amir Abbas & González, Vicente A. & Liu, Jiamou, 2021. "A hierarchical agent-based approach to simulate a dynamic decision-making process of evacuees using reinforcement learning," Journal of choice modelling, Elsevier, vol. 39(C).
   8. Moonsoo Ko & Taewan Kim & Keemin Sohn, 2013. "Calibrating a social-force-based pedestrian walking model based on maximum likelihood estimation," Transportation, Springer, vol. 40(1), pages 91-107, January.
   9. Rodriguez, E. & Espinosa-Paredes, G. & Alvarez-Ramirez, J., 2014. "Convection–diffusion effects in marathon race dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 498-507.

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