Información de la revista

Applied Intelligence

Springer, Dordrecht

https://www.springer.com/journal/10489

ISSN: 0924-669X

ISSN online: 1573-7497

Idioma: Inglés

Revista técnica: Sí

Indexado en WoS o Scopus: Sí

Latindex: No

Año JCR SJR
Impacto Cuartil Impacto Cuartil
2023 3,400 Q2 1,193 Q2
2022 5,300 Q2 1,145 Q2
2021 5,019 Q2 1,211 Q2
2020 5,086 Q1 0,791 Q2
2019 3,325 Q2 0,726 Q2
2018 2,882 Q2 - Q2
2017 1,983 Q2 - Q2
2016 1,904 Q2 - Q2
2015 1,215 Q2 - -
2014 - Q2 - Q1
2013 - Q2 - Q2
2012 1,853 Q2 - Q2
2011 0,849 Q2 - Q2
2010 0,893 - - -
2009 0,988 - - -
2008 0,775 - - -
2007 0,500 - - -
2006 0,329 - - -
2005 0,569 - - -
2004 0,477 - - -
2002 0,686 - - -

Publicaciones del IIT en esta revista

Martinez-Cruz, R., López López, A.J., Portela, J., ChatGPT vs state-of-the-art models: a benchmarking study in keyphrase generation task. Applied Intelligence. Vol. 55, pp. 50-1 - 50-25 [Online: Noviembre 2024] JCR: 3,400 Q2 (2023) - SJR: 1,193 Q2 (2023)

Güitta-López, L., Boal, J., López López, A.J., Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent. Applied Intelligence. Vol. 53, nº. 12, pp. 14903 - 14917, Junio 2023. [Online: Noviembre 2022] JCR: 3,400 Q2 (2023); - SJR: 1,193 Q2 (2023);

Pérez, J., Arroba, P., Moya, J.M., Data augmentation through multivariate scenario forecasting in data centers using generative adversarial networks. Applied Intelligence. Vol. 53, nº. 2, pp. 1469 - 1486, Enero 2023. [Online: Abril 2022] JCR: 3,400 Q2 (2023); - SJR: 1,193 Q2 (2023);

Agrawal, P., Ganesh, T., Oliva, D., Mohamed, A.W., S-shaped and V-shaped gaining-sharing knowledge-based algorithm for feature selection. Applied Intelligence. Vol. 52, nº. 1, pp. 81 - 112, Enero 2022. [Online: Abril 2021] JCR: 5,300 Q2 (2022); 3,400 Q2 (2023) - SJR: 1,145 Q2 (2022); 1,193 Q2 (2023)

Applied Intelligence

Springer, Dordrecht

Publicaciones del IIT en esta revista

Martinez-Cruz, R., López López, A.J., Portela, J., ChatGPT vs state-of-the-art models: a benchmarking study in keyphrase generation task. Applied Intelligence. Vol. 55, pp. 50-1 - 50-25 [Online: Noviembre 2024] JCR: 3,400 Q2 (2023) - SJR: 1,193 Q2 (2023)

Pérez, J., Arroba, P., Moya, J.M., Data augmentation through multivariate scenario forecasting in data centers using generative adversarial networks. Applied Intelligence. Vol. 53, nº. 2, pp. 1469 - 1486, Enero 2023. [Online: Abril 2022] JCR: 3,400 Q2 (2023); - SJR: 1,193 Q2 (2023);

Año	JCR		SJR
Año	Impacto	Cuartil	Impacto	Cuartil
2023	3,400	Q2	1,193	Q2
2022	5,300	Q2	1,145	Q2
2021	5,019	Q2	1,211	Q2
2020	5,086	Q1	0,791	Q2
2019	3,325	Q2	0,726	Q2
2018	2,882	Q2	-	Q2
2017	1,983	Q2	-	Q2
2016	1,904	Q2	-	Q2
2015	1,215	Q2	-	-
2014	-	Q2	-	Q1
2013	-	Q2	-	Q2
2012	1,853	Q2	-	Q2
2011	0,849	Q2	-	Q2
2010	0,893	-	-	-
2009	0,988	-	-	-
2008	0,775	-	-	-
2007	0,500	-	-	-
2006	0,329	-	-	-
2005	0,569	-	-	-
2004	0,477	-	-	-
2002	0,686	-	-	-

Applied Intelligence

Springer, Dordrecht

Publicaciones del IIT en esta revista

Marti­nez-Cruz, R., López López, A.J., Portela, J., ChatGPT vs state-of-the-art models: a benchmarking study in keyphrase generation task. Applied Intelligence. Vol. 55, pp. 50-1 - 50-25 [Online: Noviembre 2024] JCR: 3,400 Q2 (2023) - SJR: 1,193 Q2 (2023)

Pérez, J., Arroba, P., Moya, J.M., Data augmentation through multivariate scenario forecasting in data centers using generative adversarial networks. Applied Intelligence. Vol. 53, nº. 2, pp. 1469 - 1486, Enero 2023. [Online: Abril 2022] JCR: 3,400 Q2 (2023); - SJR: 1,193 Q2 (2023);

Martinez-Cruz, R., López López, A.J., Portela, J., ChatGPT vs state-of-the-art models: a benchmarking study in keyphrase generation task. Applied Intelligence. Vol. 55, pp. 50-1 - 50-25 [Online: Noviembre 2024] JCR: 3,400 Q2 (2023) - SJR: 1,193 Q2 (2023)