Engineering Applications of Artificial Intelligence Impact Factor

Engineering applications of artificial intelligence have become increasingly popular in recent years, with a growing number of researchers and practitioners turning to AI and machine learning to solve a whole range of hitherto intractable problems across various branches of engineering.

As a result, the impact factor of journals dedicated to the practical application of AI methods has also been on the rise. For example, the Journal of IFAC saw a significant increase in the number of citations received in 2022, leading to an improvement in its journal impact factor and SCImago Journal Rank (SJR) metric.

This international forum for rapid publication has been instrumental in facilitating the rapid publication of work describing the practical application of AI in engineering, further enhancing the journal’s scientific influence.

The citations received by a journal are not only indicative of the impact score of the journal and the importance of the publications it features, but also play a crucial role in determining the journal ranking and overall acceptance rate.

By consistently publishing high-quality research articles that demonstrate the application of AI methods to address real-world engineering challenges, journals like the Journal of IFAC have managed to attract a growing number of citations and increase their citation impact.

This has not only boosted their artificial intelligence impact factor but also solidified their position as leaders in the field.