Journal information

Engineering Applications of Artificial Intelligence (ENG APPL ARTIF INTEL)

Pergamon-Elsevier Science Ltd., Oxford

http://www.journals.elsevier.com/engineering-applications-of-artificial-intelligence/

ISSN: 0952-1976

ISSN-L: 0952-1976

ISSN online: 1873-6769

Language: Inglés

Technical journal: Sí

Indexed in WoS or Scopus: Sí

Latindex: No

Year JCR SJR
Impact Quartile Impact Quartile
2022 8,000 Q1 1,729 Q1
2021 7,802 Q1 1,734 Q1
2020 6,212 Q1 1,106 Q1
2019 4,201 Q1 1,011 Q1
2018 3,526 Q1 - Q1
2017 2,819 Q1 - Q1
2016 2,894 Q1 - Q1
2015 2,368 Q1 - -
2014 2,207 Q1 - Q1
2013 1,962 Q1 - Q1
2012 1,625 Q1 - Q1
2011 1,665 Q1 - Q1
2010 1,352 - - -
2009 1,444 - - -
2008 1,397 - - -
2007 0,762 - - -
2006 0,866 - - -
2005 0,709 - - -
2004 0,421 - - -
2002 0,295 - - -

IIT Publications in this journal

Domínguez-Barbero, D., García-González, J., Sanz-Bobi, M.A. Twin-delayed deep deterministic policy gradient algorithm for the energy management of microgrids. Engineering Applications of Artificial Intelligence. Vol. 125, pp. 106693-1 - 106693-11, October 2023. [Online: July 2023] JCR: 8,000 Q1 (2022) - SJR: 1,729 Q1 (2022)

Valverde, G., Quesada, D., Larrañaga, P., Bielza, C. Causal reinforcement learning based on Bayesian networks applied to industrial settings. Engineering Applications of Artificial Intelligence. Vol. 125, pp. 106657-1 - 106657-17, October 2023. [Online: July 2023] JCR: 8,000 Q1 (2022) - SJR: 1,729 Q1 (2022)

Roch Dupré, D., Gonsalves, T., Cucala, A.P., Pecharromán, R.R., López López, A.J., Fernández-Cardador, A. Multi-stage optimization of the installation of energy storage systems in railway electrical infrastructures with nature-inspired optimization algorithms. Engineering Applications of Artificial Intelligence. Vol. 104, pp. 104370-1 - 104370-18, September 2021. [Online: July 2021] JCR: 7,802 Q1 (2021); 8,000 Q1 (2022) - SJR: 1,734 Q1 (2021); 1,729 Q1 (2022)

Quesada, D., Valverde, G., Larrañaga, P., Bielza, C. Long-term forecasting of multivariate time series in industrial furnaces with dynamic Gaussian Bayesian networks. Engineering Applications of Artificial Intelligence. Vol. 103, pp. 104301-1 - 104301-11, August 2021. [Online: May 2021] JCR: 7,802 Q1 (2021); 8,000 Q1 (2022) - SJR: 1,734 Q1 (2021); 1,729 Q1 (2022)

Carvajal, W., Cucala, A.P., Fernández-Cardador, A. Fuzzy train tracking algorithm for the energy efficient operation of CBTC equipped metro lines. Engineering Applications of Artificial Intelligence. Vol. 53, pp. 19 - 31, August 2016. [Online: April 2016] JCR: 2,894 Q1 (2016); 8,000 Q1 (2022) - SJR: Q1 (2016); 1,729 Q1 (2022)

Carvajal, W., Cucala, A.P., Fernández-Cardador, A. Optimal design of energy-efficient ATO CBTC driving for metro lines based on NSGA-II with fuzzy parameters. Engineering Applications of Artificial Intelligence. Vol. 36, pp. 164 - 177, November 2014. [Online: August 2014] JCR: 2,207 Q1 (2014); 8,000 Q1 (2022) - SJR: Q1 (2014); 1,729 Q1 (2022)

Santodomingo, R., Rohjans, S., Uslar, M., Rodríguez-Mondéjar, J.A., Sanz-Bobi, M.A. Ontology matching system for future energy smart grids. Engineering Applications of Artificial Intelligence. Vol. 32, pp. 242 - 257, June 2014. [Online: March 2014] JCR: 2,207 Q1 (2014); 8,000 Q1 (2022) - SJR: Q1 (2014); 1,729 Q1 (2022)

Sicre, C., Cucala, A.P., Fernández-Cardador, A. Real time regulation of efficient driving of high speed trains based on a genetic algorithm and a fuzzy model of manual driving. Engineering Applications of Artificial Intelligence. Vol. 29, pp. 79 - 92, March 2014. [Online: September 2013] JCR: 2,207 Q1 (2014); 8,000 Q1 (2022) - SJR: Q1 (2014); 1,729 Q1 (2022)

Domínguez, M., Fernández-Cardador, A., Cucala, A.P., Gonsalves, T., Fernández Rodríguez, A. Multi objective particle swarm optimization algorithm for the design of efficient ATO speed profiles in metro lines. Engineering Applications of Artificial Intelligence. Vol. 29, pp. 43 - 53, March 2014. [Online: January 2014] JCR: 2,207 Q1 (2014); 8,000 Q1 (2022) - SJR: Q1 (2014); 1,729 Q1 (2022)

Cucala, A.P., Fernández-Cardador, A., Sicre, C., Domínguez, M. Fuzzy optimal schedule of high speed train operation to minimize energy consumption with uncertain delays and driver’s behavioral response. Engineering Applications of Artificial Intelligence. Vol. 25, nº. 8, pp. 1548 - 1557, December 2012. [Online: February 2012] JCR: 1,625 Q1 (2012); 8,000 Q1 (2022) - SJR: Q1 (2012); 1,729 Q1 (2022)

Year	JCR		SJR
Year	Impact	Quartile	Impact	Quartile
2022	8,000	Q1	1,729	Q1
2021	7,802	Q1	1,734	Q1
2020	6,212	Q1	1,106	Q1
2019	4,201	Q1	1,011	Q1
2018	3,526	Q1	-	Q1
2017	2,819	Q1	-	Q1
2016	2,894	Q1	-	Q1
2015	2,368	Q1	-	-
2014	2,207	Q1	-	Q1
2013	1,962	Q1	-	Q1
2012	1,625	Q1	-	Q1
2011	1,665	Q1	-	Q1
2010	1,352	-	-	-
2009	1,444	-	-	-
2008	1,397	-	-	-
2007	0,762	-	-	-
2006	0,866	-	-	-
2005	0,709	-	-	-
2004	0,421	-	-	-
2002	0,295	-	-	-