Journal information

Applied Intelligence

Springer, Dordrecht

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

ISSN: 0924-669X

ISSN online: 1573-7497

Language: Inglés

Technical journal: Sí

Indexed in WoS or Scopus: Sí

Latindex: No

Year JCR SJR
Impact Quartile Impact Quartile
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 - - -

IIT Publications in this journal

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: November 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, June 2023. [Online: November 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, January 2023. [Online: April 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, January 2022. [Online: April 2021] JCR: 5,300 Q2 (2022); 3,400 Q2 (2023) - SJR: 1,145 Q2 (2022); 1,193 Q2 (2023)

Applied Intelligence

Springer, Dordrecht

IIT Publications in this journal

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: November 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, January 2023. [Online: April 2022] JCR: 3,400 Q2 (2023); - SJR: 1,193 Q2 (2023);

Year	JCR		SJR
Year	Impact	Quartile	Impact	Quartile
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

IIT Publications in this journal

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: November 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, January 2023. [Online: April 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: November 2024] JCR: 3,400 Q2 (2023) - SJR: 1,193 Q2 (2023)